Quantum Simulation of Nuclear Dynamics in First Quantization

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AbstractThe study of real time dynamics of nuclear systems is of great importance to provide theoretical predictions of cross sections relevant for both terrestrial experiments as well as applications in astrophysics. First principles simulations of these dynamical processes is however hindered by an exponential cost in classical resources and the possibility of performing scalable simulations using quantum computers is currently an active field of research. In this work we provide the first complete characterization of the resource requirements for studying nuclear dynamics with the full Leading Order (LO) pionless EFT Hamiltonian in first quantization employing simulation strategies using both product formulas as well as Quantum Signal Processing. In particular, we show that time evolution of such an Hamiltonian can be performed with polynomial resources in the number of particles, and logarithmic resources in the number of single-particle basis states. This result provides an exponential improvement compared with previous work on the same Hamiltonian model in second quantization. We find that interesting simulations for low energy nuclear scattering could be achievable with tens of millions of T gates and few hundred logical qubits suggesting that the study of simple nuclear reactions could be amenable for early fault tolerant quantum platforms.Featured image: Estimated number of T gates for nuclear reactions in a small $8^3$ spatial box as a function of the number of nucleons. The blue line correspond to the best Trotter results in second quantization (Watson et al. 2023) while the red and black lines correspond to our first quantization scheme with either Trotter at second order (red curve) or Generalized Quantum Signal Processing (black curve).Popular summarySimulating nuclear reactions is a major challenge for classical computers, making them a promising target for quantum simulation. In this work, we show that representing individual nucleons directly on a quantum computer, rather than encoding the entire space in which they can move, can greatly reduce the resources required to simulate their real-time dynamics, especially as the spatial size of the problem increases. Our estimates suggest that simple low-energy nuclear scattering processes could eventually be studied using a few hundred logical qubits and tens of millions of fault-tolerant operations, placing them within the possible range of early applications of fault-tolerant quantum computers.► BibTeX data@article{Spagnoli2026quantumsimulationof, doi = {10.22331/q-2026-09-02-2200}, url = {https://doi.org/10.22331/q-2026-09-02-2200}, title = {Quantum {S}imulation of {N}uclear {D}ynamics in {F}irst {Q}uantization}, author = {Spagnoli, Luca and Lissoni, Chiara and Roggero, Alessandro}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}}, volume = {10}, pages = {2200}, month = sep, year = {2026} }► References [1] Daniel S. Abrams and Seth Lloyd. Simulation of many-body fermi systems on a universal quantum computer. Phys. Rev. Lett., 79: 2586–2589, 9 1997. 10.1103/PhysRevLett.79.2586. URL https://doi.org/10.1103/PhysRevLett.79.2586. https://doi.org/10.1103/PhysRevLett.79.2586 [2] B. Acharya et al. Solar fusion iii: New data and theory for hydrogen-burning stars, 2024. URL https://doi.org/10.1103/8lm7-gs18. https://doi.org/10.1103/8lm7-gs18 [3] E. G. Adelberger et al. Solar fusion cross sections. ii. the $pp$ chain and cno cycles. Rev. Mod. Phys., 83: 195–245, Apr 2011. 10.1103/RevModPhys.83.195. URL https://doi.org/10.1103/RevModPhys.83.195. https://doi.org/10.1103/RevModPhys.83.195 [4] Luis Alvarez Ruso et al. Theoretical tools for neutrino scattering: interplay between lattice qcd, efts, nuclear physics, phenomenology, and neutrino event generators. Journal of Physics G: Nuclear and Particle Physics, January 2025. ISSN 1361-6471. 10.1088/1361-6471/adae26. URL http://dx.doi.org/10.1088/1361-6471/adae26. https://doi.org/10.1088/1361-6471/adae26 [5] Valentina Amitrano, Alessandro Roggero, Piero Luchi, Francesco Turro, Luca Vespucci, and Francesco Pederiva. Trapped-ion quantum simulation of collective neutrino oscillations. Phys. Rev. D, 107: 023007, 1 2023. 10.1103/PhysRevD.107.023007. URL https://doi.org/10.1103/PhysRevD.107.023007. https://doi.org/10.1103/PhysRevD.107.023007 [6] L. Andreoli, G. B. King, S. Pastore, M. Piarulli, J. Carlson, S. Gandolfi, and R. B. Wiringa. Quantum monte carlo calculations of electron scattering from $^{12}\mathrm{C}$ in the short-time approximation. Phys. Rev. C, 110: 064004, Dec 2024. 10.1103/PhysRevC.110.064004. URL https://doi.org/10.1103/PhysRevC.110.064004. https://doi.org/10.1103/PhysRevC.110.064004 [7] Lorenzo Andreoli, Joseph Carlson, Alessandro Lovato, Saori Pastore, Noemi Rocco, and R. B. Wiringa. Electron scattering on $a=3$ nuclei from quantum monte carlo based approaches. Phys. Rev. C, 105: 014002, Jan 2022. 10.1103/PhysRevC.105.014002. URL https://doi.org/10.1103/PhysRevC.105.014002. https://doi.org/10.1103/PhysRevC.105.014002 [8] Thomas Ayral, Pauline Besserve, Denis Lacroix, and Edgar Andres Ruiz Guzman. Quantum computing with and for many-body physics.
The European Physical Journal A, 59: 227, Oct 2023. 10.1140/epja/s10050-023-01141-1. URL https://doi.org/10.1140/epja/s10050-023-01141-1. https://doi.org/10.1140/epja/s10050-023-01141-1 [9] Ryan Babbush, Dominic W. Berry, Jarrod R. McClean, and Hartmut Neven. Quantum simulation of chemistry with sublinear scaling in basis size. npj Quantum Information, 5 (1), nov 2019. 10.1038/s41534-019-0199-y. URL https://doi.org/10.1038/s41534-019-0199-y. https://doi.org/10.1038/s41534-019-0199-y [10] Ryan Babbush, William J Huggins, Dominic W Berry, Shu Fay Ung, Andrew Zhao, David R Reichman, Hartmut Neven, Andrew D Baczewski, and Joonho Lee. Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods. Nature Communications, 14 (1): 4058, 2023. 10.1038/s41467-023-39024-0. https://doi.org/10.1038/s41467-023-39024-0 [11] C. Barbieri, N. Rocco, and V. Somà. Lepton scattering from $^{40}\mathrm{Ar}$ and $^{48}\mathrm{Ti}$ in the quasielastic peak region. Phys. Rev. C, 100: 062501, Dec 2019. 10.1103/PhysRevC.100.062501. URL https://doi.org/10.1103/PhysRevC.100.062501. https://doi.org/10.1103/PhysRevC.100.062501 [12] A. Baroni, J. Carlson, R. Gupta, Andy C. Y. Li, G. N. Perdue, and A. Roggero. Nuclear two point correlation functions on a quantum computer. Phys. Rev. D, 105: 074503, Apr 2022. 10.1103/PhysRevD.105.074503. URL https://doi.org/10.1103/PhysRevD.105.074503. https://doi.org/10.1103/PhysRevD.105.074503 [13] Christian W. Bauer, Zohreh Davoudi, A. Baha Balantekin, Tanmoy Bhattacharya, Marcela Carena, Wibe A. de Jong, Patrick Draper, Aida El-Khadra, Nate Gemelke, Masanori Hanada, Dmitri Kharzeev, Henry Lamm, Ying-Ying Li, Junyu Liu, Mikhail Lukin, Yannick Meurice, Christopher Monroe, Benjamin Nachman, Guido Pagano, John Preskill, Enrico Rinaldi, Alessandro Roggero, David I. Santiago, Martin J. Savage, Irfan Siddiqi, George Siopsis, David Van Zanten, Nathan Wiebe, Yukari Yamauchi, Kübra Yeter-Aydeniz, and Silvia Zorzetti. Quantum simulation for high-energy physics. PRX Quantum, 4: 027001, May 2023. 10.1103/PRXQuantum.4.027001. URL https://doi.org/10.1103/PRXQuantum.4.027001. https://doi.org/10.1103/PRXQuantum.4.027001 [14] Andreas Juul Bay-Smidt, Frederik Ravn Klausen, Christoph Sünderhauf, Róbert Izsák, Gemma C. Solomon, and Nick S. Blunt. Fault-tolerant quantum simulation of generalized hubbard models, 2025. URL https://doi.org/10.1103/gr4t-b1w5. https://doi.org/10.1103/gr4t-b1w5 [15] Douglas Beck, Joseph Carlson, Zohreh Davoudi, Joseph Formaggio, Sofia Quaglioni, Martin Savage, Joao Barata, Tanmoy Bhattacharya, Michael Bishof, Ian Cloet, Andrea Delgado, Michael DeMarco, Caleb Fink, Adrien Florio, Marianne Francois, Dorota Grabowska, Shannon Hoogerheide, Mengyao Huang, Kazuki Ikeda, Marc Illa, Kyungseon Joo, Dmitri Kharzeev, Karol Kowalski, Wai Kin Lai, Kyle Leach, Ben Loer, Ian Low, Joshua Martin, David Moore, Thomas Mehen, Niklas Mueller, James Mulligan, Pieter Mumm, Francesco Pederiva, Rob Pisarski, Mateusz Ploskon, Sanjay Reddy, Gautam Rupak, Hersh Singh, Maninder Singh, Ionel Stetcu, Jesse Stryker, Paul Szypryt, Semeon Valgushev, Brent VanDevender, Samuel Watkins, Christopher Wilson, Xiaojun Yao, Andrei Afanasev, Akif Baha Balantekin, Alessandro Baroni, Raymond Bunker, Bipasha Chakraborty, Ivan Chernyshev, Vincenzo Cirigliano, Benjamin Clark, Shashi Kumar Dhiman, Weijie Du, Dipangkar Dutta, Robert Edwards, Abraham Flores, Alfredo Galindo-Uribarri, Ronald Fernando Garcia Ruiz, Vesselin Gueorguiev, Fanqing Guo, Erin Hansen, Hector Hernandez, Koichi Hattori, Philipp Hauke, Morten Hjorth-Jensen, Keith Jankowski, Calvin Johnson, Denis Lacroix, Dean Lee, Huey-Wen Lin, Xiaohui Liu, Felipe J. Llanes-Estrada, John Looney, Misha Lukin, Alexis Mercenne, Jeff Miller, Emil Mottola, Berndt Mueller, Benjamin Nachman, John Negele, John Orrell, Amol Patwardhan, Daniel Phillips, Stephen Poole, Irene Qualters, Mike Rumore, Thomas Schaefer, Jeremy Scott, Rajeev Singh, James Vary, Juan-Jose Galvez-Viruet, Kyle Wendt, Hongxi Xing, Liang Yang, Glenn Young, and Fanyi Zhao. Quantum information science and technology for nuclear physics. input into u.s. long-range planning, 2023, 2023. URL https://arxiv.org/abs/2303.00113. arXiv:2303.00113 [16] Dominic W. Berry, Mária Kieferová, Artur Scherer, Yuval R. Sanders, Guang Hao Low, Nathan Wiebe, Craig Gidney, and Ryan Babbush. Improved techniques for preparing eigenstates of fermionic hamiltonians. npj Quantum Information, 4 (1), May 2018. ISSN 2056-6387. 10.1038/s41534-018-0071-5. URL http://dx.doi.org/10.1038/s41534-018-0071-5. https://doi.org/10.1038/s41534-018-0071-5 [17] Dominic W. Berry, Danial Motlagh, Giacomo Pantaleoni, and Nathan Wiebe. Doubling the efficiency of hamiltonian simulation via generalized quantum signal processing. Phys. Rev. A, 110: 012612, 7 2024. 10.1103/PhysRevA.110.012612. URL https://doi.org/10.1103/PhysRevA.110.012612. https://doi.org/10.1103/PhysRevA.110.012612 [18] Sergey Bravyi, Andrew W. Cross, Jay M. Gambetta, Dmitri Maslov, Patrick Rall, and Theodore J. Yoder. High-threshold and low-overhead fault-tolerant quantum memory. Nature, 627 (8005): 778–782, March 2024. ISSN 1476-4687. 10.1038/s41586-024-07107-7. URL http://dx.doi.org/10.1038/s41586-024-07107-7. https://doi.org/10.1038/s41586-024-07107-7 [19] Earl T Campbell. Early fault-tolerant simulations of the hubbard model. Quantum Science and Technology, 7 (1): 015007, November 2021. ISSN 2058-9565. 10.1088/2058-9565/ac3110. URL http://dx.doi.org/10.1088/2058-9565/ac3110. https://doi.org/10.1088/2058-9565/ac3110 [20] Andrew M Childs and Nathan Wiebe. Hamiltonian simulation using linear combinations of unitary operations. Quantum Information & Computation, 12 (11-12): 901–924, 2012. [21] Andrew M. Childs, Yuan Su, Minh C. Tran, Nathan Wiebe, and Shuchen Zhu. Theory of trotter error with commutator scaling. Phys. Rev. X, 11: 011020, Feb 2021. 10.1103/PhysRevX.11.011020. URL https://doi.org/10.1103/PhysRevX.11.011020. https://doi.org/10.1103/PhysRevX.11.011020 [22] V Cirigliano, Z Davoudi, J Engel, R J Furnstahl, G Hagen, U Heinz, H Hergert, M Horoi, C W Johnson, A Lovato, E Mereghetti, W Nazarewicz, A Nicholson, T Papenbrock, S Pastore, M Plumlee, D R Phillips, P E Shanahan, S R Stroberg, F Viens, A Walker-Loud, K A Wendt, and S M Wild. Towards precise and accurate calculations of neutrinoless double-beta decay. Journal of Physics G: Nuclear and Particle Physics, 49 (12): 120502, dec 2022. 10.1088/1361-6471/aca03e. URL https://dx.doi.org/10.1088/1361-6471/aca03e. https://doi.org/10.1088/1361-6471/aca03e [23] Ian C. Cloët, Matthew R. Dietrich, John Arrington, Alexei Bazavov, Michael Bishof, Adam Freese, Alexey V. Gorshkov, Anna Grassellino, Kawtar Hafidi, Zubin Jacob, Michael McGuigan, Yannick Meurice, Zein-Eddine Meziani, Peter Mueller, Christine Muschik, James Osborn, Matthew Otten, Peter Petreczky, Tomas Polakovic, Alan Poon, Raphael Pooser, Alessandro Roggero, Mark Saffman, Brent VanDevender, Jiehang Zhang, and Erez Zohar. Opportunities for nuclear physics & quantum information science, 2019. URL https://arxiv.org/abs/1903.05453. arXiv:1903.05453 [24] DUNE Collaboration, R. Acciarri, et al. Long-baseline neutrino facility (lbnf) and deep underground neutrino experiment (dune) conceptual design report volume 2: The physics program for dune at lbnf, 2016. URL https://arxiv.org/abs/1512.06148. arXiv:1512.06148 [25] C. Drischler, R. J. Furnstahl, J. A. Melendez, and D. R. Phillips. How well do we know the neutron-matter equation of state at the densities inside neutron stars? a bayesian approach with correlated uncertainties. Phys. Rev. Lett., 125: 202702, Nov 2020. 10.1103/PhysRevLett.125.202702. URL https://doi.org/10.1103/PhysRevLett.125.202702. https://doi.org/10.1103/PhysRevLett.125.202702 [26] E. F. Dumitrescu, A. J. McCaskey, G. Hagen, G. R. Jansen, T. D. Morris, T. Papenbrock, R. C. Pooser, D. J. Dean, and P. Lougovski. Cloud quantum computing of an atomic nucleus. Phys. Rev. Lett., 120: 210501, 5 2018. 10.1103/PhysRevLett.120.210501. URL https://doi.org/10.1103/PhysRevLett.120.210501. https://doi.org/10.1103/PhysRevLett.120.210501 [27] Bryan Eastin and Emanuel Knill. Restrictions on transversal encoded quantum gate sets. Phys. Rev. Lett., 102: 110502, 3 2009. 10.1103/PhysRevLett.102.110502. URL https://doi.org/10.1103/PhysRevLett.102.110502. https://doi.org/10.1103/PhysRevLett.102.110502 [28] A. Ekström, C. Forssén, G. Hagen, G. R. Jansen, W. Jiang, and T. Papenbrock. What is ab initio in nuclear theory? Frontiers in Physics, 11, 2023. ISSN 2296-424X. 10.3389/fphy.2023.1129094. URL https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2023.1129094. https://doi.org/10.3389/fphy.2023.1129094 [29] E. Epelbaum, H.-W. Hammer, and Ulf-G. Meißner. Modern theory of nuclear forces. Rev. Mod. Phys., 81: 1773–1825, Dec 2009. 10.1103/RevModPhys.81.1773. URL https://doi.org/10.1103/RevModPhys.81.1773. https://doi.org/10.1103/RevModPhys.81.1773 [30] E. Epelbaum, H. Krebs, and U. G. Meißner. Improved chiral nucleon-nucleon potential up to next-to-next-to-next-to-leading order.
The European Physical Journal A, 51 (5): 53, 2015. https://doi.org/10.1140/epja/i2015-15053-8. https://doi.org/10.1140/epja/i2015-15053-8 [31] José-Enrique García-Ramos, Alvaro Sáiz, Jose M. Arias, Lucas Lamata, and Pedro Pérez-Fernández. Nuclear physics in the era of quantum computing and quantum machine learning.
Advanced Quantum Technologies, 8 (12): 2300219, 2025. https://doi.org/10.1002/qute.202300219. URL https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/qute.202300219. https://doi.org/10.1002/qute.202300219 [32] Timothy N Georges, Marius Bothe, Christoph Sünderhauf, Bjorn K Berntson, Róbert Izsák, and Aleksei V Ivanov. Quantum simulations of chemistry in first quantization with any basis set. npj Quantum Information, 11 (1): 55, 2025. [33] Craig Gidney. Halving the cost of quantum addition. Quantum, 2: 74, jun 2018. 10.22331/q-2018-06-18-74. URL https://doi.org/10.22331. https://doi.org/10.22331/q-2018-06-18-74 [34] Craig Gidney and Martin Ekerå. How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits. Quantum, 5: 433, April 2021. ISSN 2521-327X. 10.22331/q-2021-04-15-433. URL https://doi.org/10.22331/q-2021-04-15-433. https://doi.org/10.22331/q-2021-04-15-433 [35] Craig Gidney, Noah Shutty, and Cody Jones. Magic state cultivation: growing t states as cheap as cnot gates. arXiv preprint arXiv:2409.17595, 2024. arXiv:2409.17595 [36] András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe. Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. arXiv preprint arXiv:1806.01838, 2018. 10.1145/3313276.3316366. https://doi.org/10.1145/3313276.3316366 arXiv:1806.01838 [37] András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe. Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. In Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. ACM, jun 2019. 10.1145/3313276.3316366. URL https://doi.org/10.1145. https://doi.org/10.1145/3313276.3316366 [38] Joshua J. Goings, Alec White, Joonho Lee, Christofer S. Tautermann, Matthias Degroote, Craig Gidney, Toru Shiozaki, Ryan Babbush, and Nicholas C. Rubin. Reliably assessing the electronic structure of cytochrome p450 on today’s classical computers and tomorrow’s quantum computers. Proceedings of the National Academy of Sciences, 119 (38): e2203533119, 2022. 10.1073/pnas.2203533119. URL https://www.pnas.org/doi/abs/10.1073/pnas.2203533119. https://doi.org/10.1073/pnas.2203533119 [39] H.-W. Hammer, Sebastian König, and U. van Kolck. Nuclear effective field theory: Status and perspectives. Rev. Mod. Phys., 92: 025004, Jun 2020. 10.1103/RevModPhys.92.025004. URL https://doi.org/10.1103/RevModPhys.92.025004. https://doi.org/10.1103/RevModPhys.92.025004 [40] Jeremy Hartse and Alessandro Roggero. Faster spectral density calculation using energy moments.
The European Physical Journal A, 59 (3): 41, 2023. 10.1140/epja/s10050-023-00952-6. https://doi.org/10.1140/epja/s10050-023-00952-6 [41] Heiko Hergert. A guided tour of ab initio nuclear many-body theory. Frontiers in Physics, 8, 2020. ISSN 2296-424X. 10.3389/fphy.2020.00379. URL https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2020.00379. https://doi.org/10.3389/fphy.2020.00379 [42] Patrick Huber et al. Snowmass neutrino frontier report, 2022. URL https://arxiv.org/abs/2211.08641. arXiv:2211.08641 [43] William J. Huggins, Kianna Wan, Jarrod McClean, Thomas E. O'Brien, Nathan Wiebe, and Ryan Babbush. Nearly optimal quantum algorithm for estimating multiple expectation values. Phys. Rev. Lett., 129: 240501, 12 2022. 10.1103/PhysRevLett.129.240501. URL https://doi.org/10.1103/PhysRevLett.129.240501. https://doi.org/10.1103/PhysRevLett.129.240501 [44] William J. Huggins, Oskar Leimkuhler, Torin F. Stetina, and K. Birgitta Whaley. Efficient state preparation for the quantum simulation of molecules in first quantization. PRX Quantum, 6: 020319, 4 2025. 10.1103/PRXQuantum.6.020319. URL https://doi.org/10.1103/PRXQuantum.6.020319. https://doi.org/10.1103/PRXQuantum.6.020319 [45] Calvin W Johnson, Kristina D Launey, Naftali Auerbach, Sonia Bacca, Bruce R Barrett, Carl R Brune, Mark A Caprio, Pierre Descouvemont, W H Dickhoff, Charlotte Elster, Patrick J Fasano, Kevin Fossez, Heiko Hergert, Morten Hjorth-Jensen, Linda Hlophe, Baishan Hu, Rodolfo M Id Betan, Andrea Idini, Sebastian König, Konstantinos Kravvaris, Dean Lee, Jin Lei, Alexis Mercenne, Rodrigo Navarro Perez, Witold Nazarewicz, Filomena M Nunes, Marek Płoszajczak, Jimmy Rotureau, Gautam Rupak, Andrey M Shirokov, Ian Thompson, James P Vary, Alexander Volya, Furong Xu, Remco G T. Zegers, Vladimir Zelevinsky, and Xilin Zhang. White paper: from bound states to the continuum. Journal of Physics G: Nuclear and Particle Physics, 47 (12): 123001, nov 2020. 10.1088/1361-6471/abb129. URL https://dx.doi.org/10.1088/1361-6471/abb129. https://doi.org/10.1088/1361-6471/abb129 [46] N Cody Jones, James D Whitfield, Peter L McMahon, Man-Hong Yung, Rodney Van Meter, Alán Aspuru-Guzik, and Yoshihisa Yamamoto. Faster quantum chemistry simulation on fault-tolerant quantum computers. New Journal of Physics, 14 (11): 115023, nov 2012. 10.1088/1367-2630/14/11/115023. URL https://dx.doi.org/10.1088/1367-2630/14/11/115023. https://doi.org/10.1088/1367-2630/14/11/115023 [47] P. Jordan and E. Wigner. Über das paulische Äquivalenzverbot. Zeitschrift für Physik, 47: 631–651, 1928. 10.1007/BF01331938. URL https://doi.org/10.1007/BF01331938. https://doi.org/10.1007/BF01331938 [48] David B. Kaplan, Martin J. Savage, and Mark B. Wise. A new expansion for nucleon-nucleon interactions. Physics Letters B, 424 (3): 390–396, 1998. ISSN 0370-2693. https://doi.org/10.1016/S0370-2693(98)00210-X. URL https://www.sciencedirect.com/science/article/pii/S037026939800210X. https://doi.org/10.1016/S0370-2693(98)00210-X https://www.sciencedirect.com/science/article/pii/S037026939800210X [49] Ivan Kassal, Stephen P. Jordan, Peter J. Love, Masoud Mohseni, and Alá n Aspuru-Guzik. Polynomial-time quantum algorithm for the simulation of chemical dynamics. Proceedings of the National Academy of Sciences, 105 (48): 18681–18686, dec 2008. 10.1073/pnas.0808245105. URL https://doi.org/10.1073/pnas.0808245105. https://doi.org/10.1073/pnas.0808245105 [50] Julia Kempe, Alexei Kitaev, and Oded Regev. The complexity of the local hamiltonian problem. Siam journal on computing, 35 (5): 1070–1097, 2006. [51] Oriel Kiss, Michele Grossi, and Alessandro Roggero. Quantum error mitigation for fourier moment computation. Phys. Rev. D, 111: 034504, Feb 2025. 10.1103/PhysRevD.111.034504. URL https://doi.org/10.1103/PhysRevD.111.034504. https://doi.org/10.1103/PhysRevD.111.034504 [52] Ian D Kivlichan, Nathan Wiebe, Ryan Babbush, and Alá n Aspuru-Guzik. Bounding the costs of quantum simulation of many-body physics in real space. Journal of Physics A: Mathematical and Theoretical, 50 (30): 305301, jun 2017. 10.1088/1751-8121/aa77b8. URL https://doi.org/10.1088/1751-8121/aa77b8. https://doi.org/10.1088/1751-8121/aa77b8 [53] Ian D. Kivlichan, Craig Gidney, Dominic W. Berry, Nathan Wiebe, Jarrod McClean, Wei Sun, Zhang Jiang, Nicholas Rubin, Austin Fowler, Alán Aspuru-Guzik, Hartmut Neven, and Ryan Babbush. Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization. Quantum, 4: 296, July 2020. ISSN 2521-327X. 10.22331/q-2020-07-16-296. URL https://doi.org/10.22331/q-2020-07-16-296. https://doi.org/10.22331/q-2020-07-16-296 [54] Natalie Klco, Alessandro Roggero, and Martin J Savage. Standard model physics and the digital quantum revolution: thoughts about the interface. Reports on Progress in Physics, 85 (6): 064301, may 2022. 10.1088/1361-6633/ac58a4. URL https://dx.doi.org/10.1088/1361-6633/ac58a4. https://doi.org/10.1088/1361-6633/ac58a4 [55] Vadym Kliuchnikov, Kristin Lauter, Romy Minko, Adam Paetznick, and Christophe Petit. Shorter quantum circuits via single-qubit gate approximation. Quantum, 7: 1208, December 2023. ISSN 2521-327X. 10.22331/q-2023-12-18-1208. URL http://dx.doi.org/10.22331/q-2023-12-18-1208. https://doi.org/10.22331/q-2023-12-18-1208 [56] Timo A Lähde and Ulf-G Meißner. Nuclear lattice effective field theory: An introduction, volume 957. Springer, 2019. [57] Kristina D. Launey, Alexis Mercenne, and Tomas Dytrych. Nuclear dynamics and reactions in the ab initio symmetry-adapted framework. Annual Review of Nuclear and Particle Science, 71 (Volume 71, 2021): 253–277, 2021. ISSN 1545-4134. https://doi.org/10.1146/annurev-nucl-102419-033316. URL https://www.annualreviews.org/content/journals/10.1146/annurev-nucl-102419-033316. https://doi.org/10.1146/annurev-nucl-102419-033316 [58] Dean Lee. Lattice simulations for few- and many-body systems. Progress in Particle and Nuclear Physics, 63 (1): 117–154, jul 2009. 10.1016/j.ppnp.2008.12.001. URL https://doi.org/10.1016. https://doi.org/10.1016/j.ppnp.2008.12.001 [59] Joonho Lee, Dominic W. Berry, Craig Gidney, William J. Huggins, Jarrod R. McClean, Nathan Wiebe, and Ryan Babbush. Even more efficient quantum computations of chemistry through tensor hypercontraction. PRX Quantum, 2 (3), jul 2021. 10.1103/prxquantum.2.030305. URL https://doi.org/10.1103/2Fprxquantum.2.030305. https://doi.org/10.1103/prxquantum.2.030305 [60] Seth Lloyd. Universal quantum simulators. Science, 273 (5278): 1073–1078, 1996. 10.1126/science.273.5278.1073. URL https://www.science.org/doi/abs/10.1126/science.273.5278.1073. https://doi.org/10.1126/science.273.5278.1073 [61] A. Lovato, S. Gandolfi, J. Carlson, Ewing Lusk, Steven C. Pieper, and R. Schiavilla. Quantum monte carlo calculation of neutral-current ${\nu}{-}^{12}\mathrm{C}$ inclusive quasielastic scattering. Phys. Rev. C, 97: 022502, Feb 2018. 10.1103/PhysRevC.97.022502. URL https://doi.org/10.1103/PhysRevC.97.022502. https://doi.org/10.1103/PhysRevC.97.022502 [62] A. Lovato, J. Carlson, S. Gandolfi, N. Rocco, and R. Schiavilla. Ab initio study of $({{\nu}}_{{\ell}},{{\ell}}^{{-}})$ and $({\overline{{\nu}}}_{{\ell}},{{\ell}}^{+})$ inclusive scattering in $^{12}\mathrm{C}$: Confronting the miniboone and t2k ccqe data. Phys. Rev. X, 10: 031068, Sep 2020. 10.1103/PhysRevX.10.031068. URL https://doi.org/10.1103/PhysRevX.10.031068. https://doi.org/10.1103/PhysRevX.10.031068 [63] Guang Hao Low and Isaac L. Chuang. Optimal hamiltonian simulation by quantum signal processing. Phys. Rev. Lett., 118: 010501, Jan 2017. 10.1103/PhysRevLett.118.010501. URL https://doi.org/10.1103/PhysRevLett.118.010501. https://doi.org/10.1103/PhysRevLett.118.010501 [64] Guang Hao Low and Isaac L. Chuang. Hamiltonian simulation by qubitization. Quantum, 3: 163, jul 2019. 10.22331/q-2019-07-12-163. URL https://doi.org/10.22331/2Fq-2019-07-12-163. https://doi.org/10.22331/q-2019-07-12-163 [65] Bing-Nan Lu, Ning Li, Serdar Elhatisari, Dean Lee, Evgeny Epelbaum, and Ulf-G. Meißner. Essential elements for nuclear binding. Physics Letters B, 797: 134863, 2019. ISSN 0370-2693. https://doi.org/10.1016/j.physletb.2019.134863. URL https://www.sciencedirect.com/science/article/pii/S0370269319305775. https://doi.org/10.1016/j.physletb.2019.134863 https://www.sciencedirect.com/science/article/pii/S0370269319305775 [66] R. Machleidt and D.R. Entem. Chiral effective field theory and nuclear forces. Physics Reports, 503 (1): 1–75, 2011. ISSN 0370-1573. https://doi.org/10.1016/j.physrep.2011.02.001. URL https://www.sciencedirect.com/science/article/pii/S0370157311000457. https://doi.org/10.1016/j.physrep.2011.02.001 https://www.sciencedirect.com/science/article/pii/S0370157311000457 [67] Ulf-G. Meißner, Shihang Shen, Serdar Elhatisari, and Dean Lee. Ab initio calculation of the alpha-particle monopole transition form factor. Phys. Rev. Lett., 132: 062501, Feb 2024. 10.1103/PhysRevLett.132.062501. URL https://doi.org/10.1103/PhysRevLett.132.062501. https://doi.org/10.1103/PhysRevLett.132.062501 [68] Danial Motlagh and Nathan Wiebe. Generalized quantum signal processing, 2023. [69] Yunseong Nam, Yuan Su, and Dmitri Maslov. Approximate quantum fourier transform with o(n log(n)) t gates. npj Quantum Information, 6 (1), March 2020. ISSN 2056-6387. 10.1038/s41534-020-0257-5. URL http://dx.doi.org/10.1038/s41534-020-0257-5. https://doi.org/10.1038/s41534-020-0257-5 [70] Petr Navrátil, Sofia Quaglioni, Guillaume Hupin, Carolina Romero-Redondo, and Angelo Calci. Unified ab initio approaches to nuclear structure and reactions. Physica Scripta, 91 (5): 053002, apr 2016. 10.1088/0031-8949/91/5/053002. URL https://dx.doi.org/10.1088/0031-8949/91/5/053002. https://doi.org/10.1088/0031-8949/91/5/053002 [71] Junhong Nie, Wei Zi, and Xiaoming Sun. Quantum circuit for multi-qubit toffoli gate with optimal resource, 2024. URL https://arxiv.org/abs/2402.05053. arXiv:2402.05053 [72] S. Pastore, J. Carlson, V. Cirigliano, W. Dekens, E. Mereghetti, and R. B. Wiringa. Neutrinoless double-${\beta}$ decay matrix elements in light nuclei. Phys. Rev. C, 97: 014606, Jan 2018. 10.1103/PhysRevC.97.014606. URL https://doi.org/10.1103/PhysRevC.97.014606. https://doi.org/10.1103/PhysRevC.97.014606 [73] S. Pastore, J. Carlson, S. Gandolfi, R. Schiavilla, and R. B. Wiringa. Quasielastic lepton scattering and back-to-back nucleons in the short-time approximation. Phys. Rev. C, 101: 044612, Apr 2020. 10.1103/PhysRevC.101.044612. URL https://doi.org/10.1103/PhysRevC.101.044612. https://doi.org/10.1103/PhysRevC.101.044612 [74] Hyper-Kamiokande Proto-Collaboration, K. Abe, et al. Physics potential of a long-baseline neutrino oscillation experiment using a j-parc neutrino beam and hyper-kamiokande. Progress of Theoretical and Experimental Physics, 2015 (5): 053C02, 05 2015. ISSN 2050-3911. 10.1093/ptep/ptv061. URL https://doi.org/10.1093/ptep/ptv061. https://doi.org/10.1093/ptep/ptv061 [75] N. Rocco and C. Barbieri. Inclusive electron-nucleus cross section within the self-consistent green's function approach. Phys. Rev. C, 98: 025501, Aug 2018. 10.1103/PhysRevC.98.025501. URL https://doi.org/10.1103/PhysRevC.98.025501. https://doi.org/10.1103/PhysRevC.98.025501 [76] A. Roggero. Spectral-density estimation with the gaussian integral transform. Phys. Rev. A, 102: 022409, Aug 2020. 10.1103/PhysRevA.102.022409. URL https://doi.org/10.1103/PhysRevA.102.022409. https://doi.org/10.1103/PhysRevA.102.022409 [77] Alessandro Roggero and Joseph Carlson. Dynamic linear response quantum algorithm. Phys. Rev. C, 100: 034610, Sep 2019. 10.1103/PhysRevC.100.034610. URL https://doi.org/10.1103/PhysRevC.100.034610. https://doi.org/10.1103/PhysRevC.100.034610 [78] Alessandro Roggero, Andy C. Y. Li, Joseph Carlson, Rajan Gupta, and Gabriel N. Perdue. Quantum computing for neutrino-nucleus scattering. Physical Review D, 101 (7), apr 2020. 10.1103/physrevd.101.074038. URL https://doi.org/10.1103. https://doi.org/10.1103/physrevd.101.074038 [79] A Rokash, E Epelbaum, H Krebs, D Lee, and U-G Meißner. Finite volume effects in low-energy neutron–deuteron scattering. Journal of Physics G: Nuclear and Particle Physics, 41 (1): 015105, dec 2013. 10.1088/0954-3899/41/1/015105. URL https://dx.doi.org/10.1088/0954-3899/41/1/015105. https://doi.org/10.1088/0954-3899/41/1/015105 [80] Emma Rosenfeld, Craig Gidney, Gabrielle Roberts, Alexis Morvan, Nathan Lacroix, Dvir Kafri, Jeffrey Marshall, Ming Li, Volodymyr Sivak, Dmitry Abanin, et al. Magic state cultivation on a superconducting quantum processor. arXiv preprint arXiv:2512.13908, 2025. arXiv:2512.13908 [81] E. Rule, I. A. Chernyshev, I. Stetcu, J. Carlson, and R. Weiss. Recursive algorithm for constructing antisymmetric fermionic states in first quantization mapping. Quantum, 10: 2056, 4 2026. ISSN 2521-327X. 10.22331/q-2026-04-08-2056. URL https://doi.org/10.22331/q-2026-04-08-2056. https://doi.org/10.22331/q-2026-04-08-2056 [82] Yuval R. Sanders, Dominic W. Berry, Pedro C.S. Costa, Louis W. Tessler, Nathan Wiebe, Craig Gidney, Hartmut Neven, and Ryan Babbush. Compilation of fault-tolerant quantum heuristics for combinatorial optimization. PRX Quantum, 1: 020312, Nov 2020. 10.1103/PRXQuantum.1.020312. URL https://doi.org/10.1103/PRXQuantum.1.020312. https://doi.org/10.1103/PRXQuantum.1.020312 [83] Savage, Martin J. Quantum computing for nuclear physics. EPJ Web Conf., 296: 01025, 2024. 10.1051/epjconf/202429601025. URL https://doi.org/10.1051/epjconf/202429601025. https://doi.org/10.1051/epjconf/202429601025 [84] Ansgar Schubert and Christian B. Mendl. Trotter error with commutator scaling for the fermi-hubbard model. Phys. Rev. B, 108: 195105, 1 2023. 10.1103/PhysRevB.108.195105. URL https://doi.org/10.1103/PhysRevB.108.195105. https://doi.org/10.1103/PhysRevB.108.195105 [85] J. E. Sobczyk and S. Bacca. $^{16}\mathrm{O}$ spectral function from coupled-cluster theory: Applications to lepton-nucleus scattering. Phys. Rev. C, 109: 044314, Apr 2024. 10.1103/PhysRevC.109.044314. URL https://doi.org/10.1103/PhysRevC.109.044314. https://doi.org/10.1103/PhysRevC.109.044314 [86] J. E. Sobczyk, B. Acharya, S. Bacca, and G. Hagen. Ab initio computation of the longitudinal response function in $^{40}\mathrm{Ca}$. Phys. Rev. Lett., 127: 072501, Aug 2021. 10.1103/PhysRevLett.127.072501. URL https://doi.org/10.1103/PhysRevLett.127.072501. https://doi.org/10.1103/PhysRevLett.127.072501 [87] J. E. Sobczyk, W. Jiang, and A. Roggero. Spin response of neutron matter in ab initio approach. Phys. Rev. Lett., 134: 192701, May 2025. 10.1103/PhysRevLett.134.192701. URL https://doi.org/10.1103/PhysRevLett.134.192701. https://doi.org/10.1103/PhysRevLett.134.192701 [88] Joanna E. Sobczyk and Alessandro Roggero. Spectral density reconstruction with chebyshev polynomials. Phys. Rev. E, 105: 055310, 5 2022. 10.1103/PhysRevE.105.055310. URL https://doi.org/10.1103/PhysRevE.105.055310. https://doi.org/10.1103/PhysRevE.105.055310 [89] Luca Spagnoli, Chiara Lissoni, and Alessandro Roggero. Code for quantum simulation of nuclear dynamics in first quantization, 5 2026. URL https://doi.org/10.5281/zenodo.20041384. https://doi.org/10.5281/zenodo.20041384 [90] Ionel Stetcu. Antisymmetrization of composite fermionic states for quantum simulations of nuclear reactions in first-quantization mapping. arXiv preprint arXiv:2512.16138, 2025. arXiv:2512.16138 [91] Yuan Su, Dominic W. Berry, Nathan Wiebe, Nicholas Rubin, and Ryan Babbush. Fault-tolerant quantum simulations of chemistry in first quantization. PRX Quantum, 2: 040332, Nov 2021a. 10.1103/PRXQuantum.2.040332. URL https://doi.orgi/10.1103/PRXQuantum.2.040332. https://doi.org/10.1103/PRXQuantum.2.040332 [92] Yuan Su, Hsin-Yuan Huang, and Earl T. Campbell. Nearly tight trotterization of interacting electrons. Quantum, 5: 495, jul 2021b. 10.22331/q-2021-07-05-495. URL https://doi.org/10.22331. https://doi.org/10.22331/q-2021-07-05-495 [93] Masuo Suzuki. General theory of fractal path integrals with applications to many‐body theories and statistical physics. Journal of Mathematical Physics, 32 (2): 400–407, 02 1991. ISSN 0022-2488. 10.1063/1.529425. URL https://doi.org/10.1063/1.529425. https://doi.org/10.1063/1.529425 [94] U. van Kolck. Effective field theory of short-range forces. Nuclear Physics A, 645 (2): 273–302, 1999. ISSN 0375-9474. https://doi.org/10.1016/S0375-9474(98)00612-5. URL https://www.sciencedirect.com/science/article/pii/S0375947498006125. https://doi.org/10.1016/S0375-9474(98)00612-5 https://www.sciencedirect.com/science/article/pii/S0375947498006125 [95] F Verstraete and J I Cirac. Mapping local hamiltonians of fermions to local hamiltonians of spins. Journal of Statistical Mechanics: Theory and Experiment, 2005 (09): P09012, sep 2005. 10.1088/1742-5468/2005/09/P09012. URL https://dx.doi.org/10.1088/1742-5468/2005/09/P09012. https://doi.org/10.1088/1742-5468/2005/09/P09012 [96] John Watrous. Frontmatter, pages i–iv.
Cambridge University Press, 2018. [97] James D. Watson, Jacob Bringewatt, Alexander F. Shaw, Andrew M. Childs, Alexey V. Gorshkov, and Zohreh Davoudi. Quantum algorithms for simulating nuclear effective field theories, 2023. URL https://arxiv.org/abs/2312.05344. arXiv:2312.05344 [98] R. Weiss, A. Baroni, J. Carlson, and I. Stetcu. Solving reaction dynamics with quantum computing algorithms. Phys. Rev. C, 111: 064004, Jun 2025. 10.1103/vs78-kwgz. URL https://doi.org/10.1103/vs78-kwgz. https://doi.org/10.1103/vs78-kwgz [99] M. Wiescher, C. A. Bertulani, C. R. Brune, R. J. deBoer, A. Diaz-Torres, L. R. Gasques, K. Langanke, P. Navrátil, W. Nazarewicz, J. Okołowicz, D. R. Phillips, M. Płoszajczak, S. Quaglioni, and A. Tumino. Quantum physics of stars. Rev. Mod. Phys., 97: 025003, May 2025. 10.1103/RevModPhys.97.025003. URL https://doi.org/10.1103/RevModPhys.97.025003. https://doi.org/10.1103/RevModPhys.97.025003 [100] E. Wigner. On the consequences of the symmetry of the nuclear hamiltonian on the spectroscopy of nuclei. Phys. Rev., 51: 106–119, Jan 1937. 10.1103/PhysRev.51.106. URL https://doi.org/10.1103/PhysRev.51.106. https://doi.org/10.1103/PhysRev.51.106 [101] Qian Xu, J Pablo Bonilla Ataides, Christopher A Pattison, Nithin Raveendran, Dolev Bluvstein, Jonathan Wurtz, Bane Vasić, Mikhail D Lukin, Liang Jiang, and Hengyun Zhou. Constant-overhead fault-tolerant quantum computation with reconfigurable atom arrays. Nature Physics, 20 (7): 1084–1090, 2024. 10.1038/s41567-024-02479-z. https://doi.org/10.1038/s41567-024-02479-z [102] Theodore J. Yoder, Eddie Schoute, Patrick Rall, Emily Pritchett, Jay M. Gambetta, Andrew W. Cross, Malcolm Carroll, and Michael E. Beverland. Tour de gross: A modular quantum computer based on bivariate bicycle codes, 2025. URL https://arxiv.org/abs/2506.03094. arXiv:2506.03094Cited byCould not fetch Crossref cited-by data during last attempt 2026-09-02 09:33:09: Could not fetch cited-by data for 10.22331/q-2026-09-02-2200 from Crossref. This is normal if the DOI was registered recently. Could not fetch ADS cited-by data during last attempt 2026-09-02 09:33:10: Cannot retrieve data from ADS due to rate limitations.This Paper is published in Quantum under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Copyright remains with the original copyright holders such as the authors or their institutions. AbstractThe study of real time dynamics of nuclear systems is of great importance to provide theoretical predictions of cross sections relevant for both terrestrial experiments as well as applications in astrophysics. First principles simulations of these dynamical processes is however hindered by an exponential cost in classical resources and the possibility of performing scalable simulations using quantum computers is currently an active field of research. In this work we provide the first complete characterization of the resource requirements for studying nuclear dynamics with the full Leading Order (LO) pionless EFT Hamiltonian in first quantization employing simulation strategies using both product formulas as well as Quantum Signal Processing. In particular, we show that time evolution of such an Hamiltonian can be performed with polynomial resources in the number of particles, and logarithmic resources in the number of single-particle basis states. This result provides an exponential improvement compared with previous work on the same Hamiltonian model in second quantization. We find that interesting simulations for low energy nuclear scattering could be achievable with tens of millions of T gates and few hundred logical qubits suggesting that the study of simple nuclear reactions could be amenable for early fault tolerant quantum platforms.Featured image: Estimated number of T gates for nuclear reactions in a small $8^3$ spatial box as a function of the number of nucleons. The blue line correspond to the best Trotter results in second quantization (Watson et al. 2023) while the red and black lines correspond to our first quantization scheme with either Trotter at second order (red curve) or Generalized Quantum Signal Processing (black curve).Popular summarySimulating nuclear reactions is a major challenge for classical computers, making them a promising target for quantum simulation. In this work, we show that representing individual nucleons directly on a quantum computer, rather than encoding the entire space in which they can move, can greatly reduce the resources required to simulate their real-time dynamics, especially as the spatial size of the problem increases. Our estimates suggest that simple low-energy nuclear scattering processes could eventually be studied using a few hundred logical qubits and tens of millions of fault-tolerant operations, placing them within the possible range of early applications of fault-tolerant quantum computers.► BibTeX data@article{Spagnoli2026quantumsimulationof, doi = {10.22331/q-2026-09-02-2200}, url = {https://doi.org/10.22331/q-2026-09-02-2200}, title = {Quantum {S}imulation of {N}uclear {D}ynamics in {F}irst {Q}uantization}, author = {Spagnoli, Luca and Lissoni, Chiara and Roggero, Alessandro}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}}, volume = {10}, pages = {2200}, month = sep, year = {2026} }► References [1] Daniel S. Abrams and Seth Lloyd. Simulation of many-body fermi systems on a universal quantum computer. Phys. Rev. Lett., 79: 2586–2589, 9 1997. 10.1103/PhysRevLett.79.2586. URL https://doi.org/10.1103/PhysRevLett.79.2586. https://doi.org/10.1103/PhysRevLett.79.2586 [2] B. Acharya et al. Solar fusion iii: New data and theory for hydrogen-burning stars, 2024. URL https://doi.org/10.1103/8lm7-gs18. https://doi.org/10.1103/8lm7-gs18 [3] E. G. Adelberger et al. Solar fusion cross sections. ii. the $pp$ chain and cno cycles. Rev. Mod. Phys., 83: 195–245, Apr 2011. 10.1103/RevModPhys.83.195. URL https://doi.org/10.1103/RevModPhys.83.195. https://doi.org/10.1103/RevModPhys.83.195 [4] Luis Alvarez Ruso et al. Theoretical tools for neutrino scattering: interplay between lattice qcd, efts, nuclear physics, phenomenology, and neutrino event generators. Journal of Physics G: Nuclear and Particle Physics, January 2025. ISSN 1361-6471. 10.1088/1361-6471/adae26. URL http://dx.doi.org/10.1088/1361-6471/adae26. https://doi.org/10.1088/1361-6471/adae26 [5] Valentina Amitrano, Alessandro Roggero, Piero Luchi, Francesco Turro, Luca Vespucci, and Francesco Pederiva. Trapped-ion quantum simulation of collective neutrino oscillations. Phys. Rev. D, 107: 023007, 1 2023. 10.1103/PhysRevD.107.023007. URL https://doi.org/10.1103/PhysRevD.107.023007. https://doi.org/10.1103/PhysRevD.107.023007 [6] L. Andreoli, G. B. King, S. Pastore, M. Piarulli, J. Carlson, S. Gandolfi, and R. B. Wiringa. Quantum monte carlo calculations of electron scattering from $^{12}\mathrm{C}$ in the short-time approximation. Phys. Rev. C, 110: 064004, Dec 2024. 10.1103/PhysRevC.110.064004. URL https://doi.org/10.1103/PhysRevC.110.064004. https://doi.org/10.1103/PhysRevC.110.064004 [7] Lorenzo Andreoli, Joseph Carlson, Alessandro Lovato, Saori Pastore, Noemi Rocco, and R. B. Wiringa. Electron scattering on $a=3$ nuclei from quantum monte carlo based approaches. Phys. Rev. C, 105: 014002, Jan 2022. 10.1103/PhysRevC.105.014002. URL https://doi.org/10.1103/PhysRevC.105.014002. https://doi.org/10.1103/PhysRevC.105.014002 [8] Thomas Ayral, Pauline Besserve, Denis Lacroix, and Edgar Andres Ruiz Guzman. Quantum computing with and for many-body physics.
The European Physical Journal A, 59: 227, Oct 2023. 10.1140/epja/s10050-023-01141-1. URL https://doi.org/10.1140/epja/s10050-023-01141-1. https://doi.org/10.1140/epja/s10050-023-01141-1 [9] Ryan Babbush, Dominic W. Berry, Jarrod R. McClean, and Hartmut Neven. Quantum simulation of chemistry with sublinear scaling in basis size. npj Quantum Information, 5 (1), nov 2019. 10.1038/s41534-019-0199-y. URL https://doi.org/10.1038/s41534-019-0199-y. https://doi.org/10.1038/s41534-019-0199-y [10] Ryan Babbush, William J Huggins, Dominic W Berry, Shu Fay Ung, Andrew Zhao, David R Reichman, Hartmut Neven, Andrew D Baczewski, and Joonho Lee. Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods. Nature Communications, 14 (1): 4058, 2023. 10.1038/s41467-023-39024-0. https://doi.org/10.1038/s41467-023-39024-0 [11] C. Barbieri, N. Rocco, and V. Somà. Lepton scattering from $^{40}\mathrm{Ar}$ and $^{48}\mathrm{Ti}$ in the quasielastic peak region. Phys. Rev. C, 100: 062501, Dec 2019. 10.1103/PhysRevC.100.062501. URL https://doi.org/10.1103/PhysRevC.100.062501. https://doi.org/10.1103/PhysRevC.100.062501 [12] A. Baroni, J. Carlson, R. Gupta, Andy C. Y. Li, G. N. Perdue, and A. Roggero. Nuclear two point correlation functions on a quantum computer. Phys. Rev. D, 105: 074503, Apr 2022. 10.1103/PhysRevD.105.074503. URL https://doi.org/10.1103/PhysRevD.105.074503. https://doi.org/10.1103/PhysRevD.105.074503 [13] Christian W. Bauer, Zohreh Davoudi, A. Baha Balantekin, Tanmoy Bhattacharya, Marcela Carena, Wibe A. de Jong, Patrick Draper, Aida El-Khadra, Nate Gemelke, Masanori Hanada, Dmitri Kharzeev, Henry Lamm, Ying-Ying Li, Junyu Liu, Mikhail Lukin, Yannick Meurice, Christopher Monroe, Benjamin Nachman, Guido Pagano, John Preskill, Enrico Rinaldi, Alessandro Roggero, David I. Santiago, Martin J. Savage, Irfan Siddiqi, George Siopsis, David Van Zanten, Nathan Wiebe, Yukari Yamauchi, Kübra Yeter-Aydeniz, and Silvia Zorzetti. Quantum simulation for high-energy physics. PRX Quantum, 4: 027001, May 2023. 10.1103/PRXQuantum.4.027001. URL https://doi.org/10.1103/PRXQuantum.4.027001. https://doi.org/10.1103/PRXQuantum.4.027001 [14] Andreas Juul Bay-Smidt, Frederik Ravn Klausen, Christoph Sünderhauf, Róbert Izsák, Gemma C. Solomon, and Nick S. Blunt. Fault-tolerant quantum simulation of generalized hubbard models, 2025. URL https://doi.org/10.1103/gr4t-b1w5. https://doi.org/10.1103/gr4t-b1w5 [15] Douglas Beck, Joseph Carlson, Zohreh Davoudi, Joseph Formaggio, Sofia Quaglioni, Martin Savage, Joao Barata, Tanmoy Bhattacharya, Michael Bishof, Ian Cloet, Andrea Delgado, Michael DeMarco, Caleb Fink, Adrien Florio, Marianne Francois, Dorota Grabowska, Shannon Hoogerheide, Mengyao Huang, Kazuki Ikeda, Marc Illa, Kyungseon Joo, Dmitri Kharzeev, Karol Kowalski, Wai Kin Lai, Kyle Leach, Ben Loer, Ian Low, Joshua Martin, David Moore, Thomas Mehen, Niklas Mueller, James Mulligan, Pieter Mumm, Francesco Pederiva, Rob Pisarski, Mateusz Ploskon, Sanjay Reddy, Gautam Rupak, Hersh Singh, Maninder Singh, Ionel Stetcu, Jesse Stryker, Paul Szypryt, Semeon Valgushev, Brent VanDevender, Samuel Watkins, Christopher Wilson, Xiaojun Yao, Andrei Afanasev, Akif Baha Balantekin, Alessandro Baroni, Raymond Bunker, Bipasha Chakraborty, Ivan Chernyshev, Vincenzo Cirigliano, Benjamin Clark, Shashi Kumar Dhiman, Weijie Du, Dipangkar Dutta, Robert Edwards, Abraham Flores, Alfredo Galindo-Uribarri, Ronald Fernando Garcia Ruiz, Vesselin Gueorguiev, Fanqing Guo, Erin Hansen, Hector Hernandez, Koichi Hattori, Philipp Hauke, Morten Hjorth-Jensen, Keith Jankowski, Calvin Johnson, Denis Lacroix, Dean Lee, Huey-Wen Lin, Xiaohui Liu, Felipe J. Llanes-Estrada, John Looney, Misha Lukin, Alexis Mercenne, Jeff Miller, Emil Mottola, Berndt Mueller, Benjamin Nachman, John Negele, John Orrell, Amol Patwardhan, Daniel Phillips, Stephen Poole, Irene Qualters, Mike Rumore, Thomas Schaefer, Jeremy Scott, Rajeev Singh, James Vary, Juan-Jose Galvez-Viruet, Kyle Wendt, Hongxi Xing, Liang Yang, Glenn Young, and Fanyi Zhao. Quantum information science and technology for nuclear physics. input into u.s. long-range planning, 2023, 2023. URL https://arxiv.org/abs/2303.00113. arXiv:2303.00113 [16] Dominic W. Berry, Mária Kieferová, Artur Scherer, Yuval R. Sanders, Guang Hao Low, Nathan Wiebe, Craig Gidney, and Ryan Babbush. Improved techniques for preparing eigenstates of fermionic hamiltonians. npj Quantum Information, 4 (1), May 2018. ISSN 2056-6387. 10.1038/s41534-018-0071-5. URL http://dx.doi.org/10.1038/s41534-018-0071-5. https://doi.org/10.1038/s41534-018-0071-5 [17] Dominic W. Berry, Danial Motlagh, Giacomo Pantaleoni, and Nathan Wiebe. Doubling the efficiency of hamiltonian simulation via generalized quantum signal processing. Phys. Rev. A, 110: 012612, 7 2024. 10.1103/PhysRevA.110.012612. URL https://doi.org/10.1103/PhysRevA.110.012612. https://doi.org/10.1103/PhysRevA.110.012612 [18] Sergey Bravyi, Andrew W. Cross, Jay M. Gambetta, Dmitri Maslov, Patrick Rall, and Theodore J. Yoder. High-threshold and low-overhead fault-tolerant quantum memory. Nature, 627 (8005): 778–782, March 2024. ISSN 1476-4687. 10.1038/s41586-024-07107-7. URL http://dx.doi.org/10.1038/s41586-024-07107-7. https://doi.org/10.1038/s41586-024-07107-7 [19] Earl T Campbell. Early fault-tolerant simulations of the hubbard model. Quantum Science and Technology, 7 (1): 015007, November 2021. ISSN 2058-9565. 10.1088/2058-9565/ac3110. URL http://dx.doi.org/10.1088/2058-9565/ac3110. https://doi.org/10.1088/2058-9565/ac3110 [20] Andrew M Childs and Nathan Wiebe. Hamiltonian simulation using linear combinations of unitary operations. Quantum Information & Computation, 12 (11-12): 901–924, 2012. [21] Andrew M. Childs, Yuan Su, Minh C. Tran, Nathan Wiebe, and Shuchen Zhu. Theory of trotter error with commutator scaling. Phys. Rev. X, 11: 011020, Feb 2021. 10.1103/PhysRevX.11.011020. URL https://doi.org/10.1103/PhysRevX.11.011020. https://doi.org/10.1103/PhysRevX.11.011020 [22] V Cirigliano, Z Davoudi, J Engel, R J Furnstahl, G Hagen, U Heinz, H Hergert, M Horoi, C W Johnson, A Lovato, E Mereghetti, W Nazarewicz, A Nicholson, T Papenbrock, S Pastore, M Plumlee, D R Phillips, P E Shanahan, S R Stroberg, F Viens, A Walker-Loud, K A Wendt, and S M Wild. Towards precise and accurate calculations of neutrinoless double-beta decay. Journal of Physics G: Nuclear and Particle Physics, 49 (12): 120502, dec 2022. 10.1088/1361-6471/aca03e. URL https://dx.doi.org/10.1088/1361-6471/aca03e. https://doi.org/10.1088/1361-6471/aca03e [23] Ian C. Cloët, Matthew R. Dietrich, John Arrington, Alexei Bazavov, Michael Bishof, Adam Freese, Alexey V. Gorshkov, Anna Grassellino, Kawtar Hafidi, Zubin Jacob, Michael McGuigan, Yannick Meurice, Zein-Eddine Meziani, Peter Mueller, Christine Muschik, James Osborn, Matthew Otten, Peter Petreczky, Tomas Polakovic, Alan Poon, Raphael Pooser, Alessandro Roggero, Mark Saffman, Brent VanDevender, Jiehang Zhang, and Erez Zohar. Opportunities for nuclear physics & quantum information science, 2019. URL https://arxiv.org/abs/1903.05453. arXiv:1903.05453 [24] DUNE Collaboration, R. Acciarri, et al. Long-baseline neutrino facility (lbnf) and deep underground neutrino experiment (dune) conceptual design report volume 2: The physics program for dune at lbnf, 2016. URL https://arxiv.org/abs/1512.06148. arXiv:1512.06148 [25] C. Drischler, R. J. Furnstahl, J. A. Melendez, and D. R. Phillips. How well do we know the neutron-matter equation of state at the densities inside neutron stars? a bayesian approach with correlated uncertainties. Phys. Rev. Lett., 125: 202702, Nov 2020. 10.1103/PhysRevLett.125.202702. URL https://doi.org/10.1103/PhysRevLett.125.202702. https://doi.org/10.1103/PhysRevLett.125.202702 [26] E. F. Dumitrescu, A. J. McCaskey, G. Hagen, G. R. Jansen, T. D. Morris, T. Papenbrock, R. C. Pooser, D. J. Dean, and P. Lougovski. Cloud quantum computing of an atomic nucleus. Phys. Rev. Lett., 120: 210501, 5 2018. 10.1103/PhysRevLett.120.210501. URL https://doi.org/10.1103/PhysRevLett.120.210501. https://doi.org/10.1103/PhysRevLett.120.210501 [27] Bryan Eastin and Emanuel Knill. Restrictions on transversal encoded quantum gate sets. Phys. Rev. Lett., 102: 110502, 3 2009. 10.1103/PhysRevLett.102.110502. URL https://doi.org/10.1103/PhysRevLett.102.110502. https://doi.org/10.1103/PhysRevLett.102.110502 [28] A. Ekström, C. Forssén, G. Hagen, G. R. Jansen, W. Jiang, and T. Papenbrock. What is ab initio in nuclear theory? Frontiers in Physics, 11, 2023. ISSN 2296-424X. 10.3389/fphy.2023.1129094. URL https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2023.1129094. https://doi.org/10.3389/fphy.2023.1129094 [29] E. Epelbaum, H.-W. Hammer, and Ulf-G. Meißner. Modern theory of nuclear forces. Rev. Mod. Phys., 81: 1773–1825, Dec 2009. 10.1103/RevModPhys.81.1773. URL https://doi.org/10.1103/RevModPhys.81.1773. https://doi.org/10.1103/RevModPhys.81.1773 [30] E. Epelbaum, H. Krebs, and U. G. Meißner. Improved chiral nucleon-nucleon potential up to next-to-next-to-next-to-leading order.
The European Physical Journal A, 51 (5): 53, 2015. https://doi.org/10.1140/epja/i2015-15053-8. https://doi.org/10.1140/epja/i2015-15053-8 [31] José-Enrique García-Ramos, Alvaro Sáiz, Jose M. Arias, Lucas Lamata, and Pedro Pérez-Fernández. Nuclear physics in the era of quantum computing and quantum machine learning.
Advanced Quantum Technologies, 8 (12): 2300219, 2025. https://doi.org/10.1002/qute.202300219. URL https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/qute.202300219. https://doi.org/10.1002/qute.202300219 [32] Timothy N Georges, Marius Bothe, Christoph Sünderhauf, Bjorn K Berntson, Róbert Izsák, and Aleksei V Ivanov. Quantum simulations of chemistry in first quantization with any basis set. npj Quantum Information, 11 (1): 55, 2025. [33] Craig Gidney. Halving the cost of quantum addition. Quantum, 2: 74, jun 2018. 10.22331/q-2018-06-18-74. URL https://doi.org/10.22331. https://doi.org/10.22331/q-2018-06-18-74 [34] Craig Gidney and Martin Ekerå. How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits. Quantum, 5: 433, April 2021. ISSN 2521-327X. 10.22331/q-2021-04-15-433. URL https://doi.org/10.22331/q-2021-04-15-433. https://doi.org/10.22331/q-2021-04-15-433 [35] Craig Gidney, Noah Shutty, and Cody Jones. Magic state cultivation: growing t states as cheap as cnot gates. arXiv preprint arXiv:2409.17595, 2024. arXiv:2409.17595 [36] András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe. Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. arXiv preprint arXiv:1806.01838, 2018. 10.1145/3313276.3316366. https://doi.org/10.1145/3313276.3316366 arXiv:1806.01838 [37] András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe. Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. In Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. ACM, jun 2019. 10.1145/3313276.3316366. URL https://doi.org/10.1145. https://doi.org/10.1145/3313276.3316366 [38] Joshua J. Goings, Alec White, Joonho Lee, Christofer S. Tautermann, Matthias Degroote, Craig Gidney, Toru Shiozaki, Ryan Babbush, and Nicholas C. Rubin. Reliably assessing the electronic structure of cytochrome p450 on today’s classical computers and tomorrow’s quantum computers. Proceedings of the National Academy of Sciences, 119 (38): e2203533119, 2022. 10.1073/pnas.2203533119. URL https://www.pnas.org/doi/abs/10.1073/pnas.2203533119. https://doi.org/10.1073/pnas.2203533119 [39] H.-W. Hammer, Sebastian König, and U. van Kolck. Nuclear effective field theory: Status and perspectives. Rev. Mod. Phys., 92: 025004, Jun 2020. 10.1103/RevModPhys.92.025004. URL https://doi.org/10.1103/RevModPhys.92.025004. https://doi.org/10.1103/RevModPhys.92.025004 [40] Jeremy Hartse and Alessandro Roggero. Faster spectral density calculation using energy moments.
The European Physical Journal A, 59 (3): 41, 2023. 10.1140/epja/s10050-023-00952-6. https://doi.org/10.1140/epja/s10050-023-00952-6 [41] Heiko Hergert. A guided tour of ab initio nuclear many-body theory. Frontiers in Physics, 8, 2020. ISSN 2296-424X. 10.3389/fphy.2020.00379. URL https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2020.00379. https://doi.org/10.3389/fphy.2020.00379 [42] Patrick Huber et al. Snowmass neutrino frontier report, 2022. URL https://arxiv.org/abs/2211.08641. arXiv:2211.08641 [43] William J. Huggins, Kianna Wan, Jarrod McClean, Thomas E. O'Brien, Nathan Wiebe, and Ryan Babbush. Nearly optimal quantum algorithm for estimating multiple expectation values. Phys. Rev. Lett., 129: 240501, 12 2022. 10.1103/PhysRevLett.129.240501. URL https://doi.org/10.1103/PhysRevLett.129.240501. https://doi.org/10.1103/PhysRevLett.129.240501 [44] William J. Huggins, Oskar Leimkuhler, Torin F. Stetina, and K. Birgitta Whaley. Efficient state preparation for the quantum simulation of molecules in first quantization. PRX Quantum, 6: 020319, 4 2025. 10.1103/PRXQuantum.6.020319. URL https://doi.org/10.1103/PRXQuantum.6.020319. https://doi.org/10.1103/PRXQuantum.6.020319 [45] Calvin W Johnson, Kristina D Launey, Naftali Auerbach, Sonia Bacca, Bruce R Barrett, Carl R Brune, Mark A Caprio, Pierre Descouvemont, W H Dickhoff, Charlotte Elster, Patrick J Fasano, Kevin Fossez, Heiko Hergert, Morten Hjorth-Jensen, Linda Hlophe, Baishan Hu, Rodolfo M Id Betan, Andrea Idini, Sebastian König, Konstantinos Kravvaris, Dean Lee, Jin Lei, Alexis Mercenne, Rodrigo Navarro Perez, Witold Nazarewicz, Filomena M Nunes, Marek Płoszajczak, Jimmy Rotureau, Gautam Rupak, Andrey M Shirokov, Ian Thompson, James P Vary, Alexander Volya, Furong Xu, Remco G T. Zegers, Vladimir Zelevinsky, and Xilin Zhang. White paper: from bound states to the continuum. Journal of Physics G: Nuclear and Particle Physics, 47 (12): 123001, nov 2020. 10.1088/1361-6471/abb129. URL https://dx.doi.org/10.1088/1361-6471/abb129. https://doi.org/10.1088/1361-6471/abb129 [46] N Cody Jones, James D Whitfield, Peter L McMahon, Man-Hong Yung, Rodney Van Meter, Alán Aspuru-Guzik, and Yoshihisa Yamamoto. Faster quantum chemistry simulation on fault-tolerant quantum computers. New Journal of Physics, 14 (11): 115023, nov 2012. 10.1088/1367-2630/14/11/115023. URL https://dx.doi.org/10.1088/1367-2630/14/11/115023. https://doi.org/10.1088/1367-2630/14/11/115023 [47] P. Jordan and E. Wigner. Über das paulische Äquivalenzverbot. Zeitschrift für Physik, 47: 631–651, 1928. 10.1007/BF01331938. URL https://doi.org/10.1007/BF01331938. https://doi.org/10.1007/BF01331938 [48] David B. Kaplan, Martin J. Savage, and Mark B. Wise. A new expansion for nucleon-nucleon interactions. Physics Letters B, 424 (3): 390–396, 1998. ISSN 0370-2693. https://doi.org/10.1016/S0370-2693(98)00210-X. URL https://www.sciencedirect.com/science/article/pii/S037026939800210X. https://doi.org/10.1016/S0370-2693(98)00210-X https://www.sciencedirect.com/science/article/pii/S037026939800210X [49] Ivan Kassal, Stephen P. Jordan, Peter J. Love, Masoud Mohseni, and Alá n Aspuru-Guzik. Polynomial-time quantum algorithm for the simulation of chemical dynamics. Proceedings of the National Academy of Sciences, 105 (48): 18681–18686, dec 2008. 10.1073/pnas.0808245105. URL https://doi.org/10.1073/pnas.0808245105. https://doi.org/10.1073/pnas.0808245105 [50] Julia Kempe, Alexei Kitaev, and Oded Regev. The complexity of the local hamiltonian problem. Siam journal on computing, 35 (5): 1070–1097, 2006. [51] Oriel Kiss, Michele Grossi, and Alessandro Roggero. Quantum error mitigation for fourier moment computation. Phys. Rev. D, 111: 034504, Feb 2025. 10.1103/PhysRevD.111.034504. URL https://doi.org/10.1103/PhysRevD.111.034504. https://doi.org/10.1103/PhysRevD.111.034504 [52] Ian D Kivlichan, Nathan Wiebe, Ryan Babbush, and Alá n Aspuru-Guzik. Bounding the costs of quantum simulation of many-body physics in real space. Journal of Physics A: Mathematical and Theoretical, 50 (30): 305301, jun 2017. 10.1088/1751-8121/aa77b8. URL https://doi.org/10.1088/1751-8121/aa77b8. https://doi.org/10.1088/1751-8121/aa77b8 [53] Ian D. Kivlichan, Craig Gidney, Dominic W. Berry, Nathan Wiebe, Jarrod McClean, Wei Sun, Zhang Jiang, Nicholas Rubin, Austin Fowler, Alán Aspuru-Guzik, Hartmut Neven, and Ryan Babbush. Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization. Quantum, 4: 296, July 2020. ISSN 2521-327X. 10.22331/q-2020-07-16-296. URL https://doi.org/10.22331/q-2020-07-16-296. https://doi.org/10.22331/q-2020-07-16-296 [54] Natalie Klco, Alessandro Roggero, and Martin J Savage. Standard model physics and the digital quantum revolution: thoughts about the interface. Reports on Progress in Physics, 85 (6): 064301, may 2022. 10.1088/1361-6633/ac58a4. URL https://dx.doi.org/10.1088/1361-6633/ac58a4. https://doi.org/10.1088/1361-6633/ac58a4 [55] Vadym Kliuchnikov, Kristin Lauter, Romy Minko, Adam Paetznick, and Christophe Petit. Shorter quantum circuits via single-qubit gate approximation. Quantum, 7: 1208, December 2023. ISSN 2521-327X. 10.22331/q-2023-12-18-1208. URL http://dx.doi.org/10.22331/q-2023-12-18-1208. https://doi.org/10.22331/q-2023-12-18-1208 [56] Timo A Lähde and Ulf-G Meißner. Nuclear lattice effective field theory: An introduction, volume 957. Springer, 2019. [57] Kristina D. Launey, Alexis Mercenne, and Tomas Dytrych. Nuclear dynamics and reactions in the ab initio symmetry-adapted framework. Annual Review of Nuclear and Particle Science, 71 (Volume 71, 2021): 253–277, 2021. ISSN 1545-4134. https://doi.org/10.1146/annurev-nucl-102419-033316. URL https://www.annualreviews.org/content/journals/10.1146/annurev-nucl-102419-033316. https://doi.org/10.1146/annurev-nucl-102419-033316 [58] Dean Lee. Lattice simulations for few- and many-body systems. Progress in Particle and Nuclear Physics, 63 (1): 117–154, jul 2009. 10.1016/j.ppnp.2008.12.001. URL https://doi.org/10.1016. https://doi.org/10.1016/j.ppnp.2008.12.001 [59] Joonho Lee, Dominic W. Berry, Craig Gidney, William J. Huggins, Jarrod R. McClean, Nathan Wiebe, and Ryan Babbush. Even more efficient quantum computations of chemistry through tensor hypercontraction. PRX Quantum, 2 (3), jul 2021. 10.1103/prxquantum.2.030305. URL https://doi.org/10.1103/2Fprxquantum.2.030305. https://doi.org/10.1103/prxquantum.2.030305 [60] Seth Lloyd. Universal quantum simulators. Science, 273 (5278): 1073–1078, 1996. 10.1126/science.273.5278.1073. URL https://www.science.org/doi/abs/10.1126/science.273.5278.1073. https://doi.org/10.1126/science.273.5278.1073 [61] A. Lovato, S. Gandolfi, J. Carlson, Ewing Lusk, Steven C. Pieper, and R. Schiavilla. Quantum monte carlo calculation of neutral-current ${\nu}{-}^{12}\mathrm{C}$ inclusive quasielastic scattering. Phys. Rev. C, 97: 022502, Feb 2018. 10.1103/PhysRevC.97.022502. URL https://doi.org/10.1103/PhysRevC.97.022502. https://doi.org/10.1103/PhysRevC.97.022502 [62] A. Lovato, J. Carlson, S. Gandolfi, N. Rocco, and R. Schiavilla. Ab initio study of $({{\nu}}_{{\ell}},{{\ell}}^{{-}})$ and $({\overline{{\nu}}}_{{\ell}},{{\ell}}^{+})$ inclusive scattering in $^{12}\mathrm{C}$: Confronting the miniboone and t2k ccqe data. Phys. Rev. X, 10: 031068, Sep 2020. 10.1103/PhysRevX.10.031068. URL https://doi.org/10.1103/PhysRevX.10.031068. https://doi.org/10.1103/PhysRevX.10.031068 [63] Guang Hao Low and Isaac L. Chuang. Optimal hamiltonian simulation by quantum signal processing. Phys. Rev. Lett., 118: 010501, Jan 2017. 10.1103/PhysRevLett.118.010501. URL https://doi.org/10.1103/PhysRevLett.118.010501. https://doi.org/10.1103/PhysRevLett.118.010501 [64] Guang Hao Low and Isaac L. Chuang. Hamiltonian simulation by qubitization. Quantum, 3: 163, jul 2019. 10.22331/q-2019-07-12-163. URL https://doi.org/10.22331/2Fq-2019-07-12-163. https://doi.org/10.22331/q-2019-07-12-163 [65] Bing-Nan Lu, Ning Li, Serdar Elhatisari, Dean Lee, Evgeny Epelbaum, and Ulf-G. Meißner. Essential elements for nuclear binding. Physics Letters B, 797: 134863, 2019. ISSN 0370-2693. https://doi.org/10.1016/j.physletb.2019.134863. URL https://www.sciencedirect.com/science/article/pii/S0370269319305775. https://doi.org/10.1016/j.physletb.2019.134863 https://www.sciencedirect.com/science/article/pii/S0370269319305775 [66] R. Machleidt and D.R. Entem. Chiral effective field theory and nuclear forces. Physics Reports, 503 (1): 1–75, 2011. ISSN 0370-1573. https://doi.org/10.1016/j.physrep.2011.02.001. URL https://www.sciencedirect.com/science/article/pii/S0370157311000457. https://doi.org/10.1016/j.physrep.2011.02.001 https://www.sciencedirect.com/science/article/pii/S0370157311000457 [67] Ulf-G. Meißner, Shihang Shen, Serdar Elhatisari, and Dean Lee. Ab initio calculation of the alpha-particle monopole transition form factor. Phys. Rev. Lett., 132: 062501, Feb 2024. 10.1103/PhysRevLett.132.062501. URL https://doi.org/10.1103/PhysRevLett.132.062501. https://doi.org/10.1103/PhysRevLett.132.062501 [68] Danial Motlagh and Nathan Wiebe. Generalized quantum signal processing, 2023. [69] Yunseong Nam, Yuan Su, and Dmitri Maslov. Approximate quantum fourier transform with o(n log(n)) t gates. npj Quantum Information, 6 (1), March 2020. ISSN 2056-6387. 10.1038/s41534-020-0257-5. URL http://dx.doi.org/10.1038/s41534-020-0257-5. https://doi.org/10.1038/s41534-020-0257-5 [70] Petr Navrátil, Sofia Quaglioni, Guillaume Hupin, Carolina Romero-Redondo, and Angelo Calci. Unified ab initio approaches to nuclear structure and reactions. Physica Scripta, 91 (5): 053002, apr 2016. 10.1088/0031-8949/91/5/053002. URL https://dx.doi.org/10.1088/0031-8949/91/5/053002. https://doi.org/10.1088/0031-8949/91/5/053002 [71] Junhong Nie, Wei Zi, and Xiaoming Sun. Quantum circuit for multi-qubit toffoli gate with optimal resource, 2024. URL https://arxiv.org/abs/2402.05053. arXiv:2402.05053 [72] S. Pastore, J. Carlson, V. Cirigliano, W. Dekens, E. Mereghetti, and R. B. Wiringa. Neutrinoless double-${\beta}$ decay matrix elements in light nuclei. Phys. Rev. C, 97: 014606, Jan 2018. 10.1103/PhysRevC.97.014606. URL https://doi.org/10.1103/PhysRevC.97.014606. https://doi.org/10.1103/PhysRevC.97.014606 [73] S. Pastore, J. Carlson, S. Gandolfi, R. Schiavilla, and R. B. Wiringa. Quasielastic lepton scattering and back-to-back nucleons in the short-time approximation. Phys. Rev. C, 101: 044612, Apr 2020. 10.1103/PhysRevC.101.044612. URL https://doi.org/10.1103/PhysRevC.101.044612. https://doi.org/10.1103/PhysRevC.101.044612 [74] Hyper-Kamiokande Proto-Collaboration, K. Abe, et al. Physics potential of a long-baseline neutrino oscillation experiment using a j-parc neutrino beam and hyper-kamiokande. Progress of Theoretical and Experimental Physics, 2015 (5): 053C02, 05 2015. ISSN 2050-3911. 10.1093/ptep/ptv061. URL https://doi.org/10.1093/ptep/ptv061. https://doi.org/10.1093/ptep/ptv061 [75] N. Rocco and C. Barbieri. Inclusive electron-nucleus cross section within the self-consistent green's function approach. Phys. Rev. C, 98: 025501, Aug 2018. 10.1103/PhysRevC.98.025501. URL https://doi.org/10.1103/PhysRevC.98.025501. https://doi.org/10.1103/PhysRevC.98.025501 [76] A. Roggero. Spectral-density estimation with the gaussian integral transform. Phys. Rev. A, 102: 022409, Aug 2020. 10.1103/PhysRevA.102.022409. URL https://doi.org/10.1103/PhysRevA.102.022409. https://doi.org/10.1103/PhysRevA.102.022409 [77] Alessandro Roggero and Joseph Carlson. Dynamic linear response quantum algorithm. Phys. Rev. C, 100: 034610, Sep 2019. 10.1103/PhysRevC.100.034610. URL https://doi.org/10.1103/PhysRevC.100.034610. https://doi.org/10.1103/PhysRevC.100.034610 [78] Alessandro Roggero, Andy C. Y. Li, Joseph Carlson, Rajan Gupta, and Gabriel N. Perdue. Quantum computing for neutrino-nucleus scattering. Physical Review D, 101 (7), apr 2020. 10.1103/physrevd.101.074038. URL https://doi.org/10.1103. https://doi.org/10.1103/physrevd.101.074038 [79] A Rokash, E Epelbaum, H Krebs, D Lee, and U-G Meißner. Finite volume effects in low-energy neutron–deuteron scattering. Journal of Physics G: Nuclear and Particle Physics, 41 (1): 015105, dec 2013. 10.1088/0954-3899/41/1/015105. URL https://dx.doi.org/10.1088/0954-3899/41/1/015105. https://doi.org/10.1088/0954-3899/41/1/015105 [80] Emma Rosenfeld, Craig Gidney, Gabrielle Roberts, Alexis Morvan, Nathan Lacroix, Dvir Kafri, Jeffrey Marshall, Ming Li, Volodymyr Sivak, Dmitry Abanin, et al. Magic state cultivation on a superconducting quantum processor. arXiv preprint arXiv:2512.13908, 2025. arXiv:2512.13908 [81] E. Rule, I. A. Chernyshev, I. Stetcu, J. Carlson, and R. Weiss. Recursive algorithm for constructing antisymmetric fermionic states in first quantization mapping. Quantum, 10: 2056, 4 2026. ISSN 2521-327X. 10.22331/q-2026-04-08-2056. URL https://doi.org/10.22331/q-2026-04-08-2056. https://doi.org/10.22331/q-2026-04-08-2056 [82] Yuval R. Sanders, Dominic W. Berry, Pedro C.S. Costa, Louis W. Tessler, Nathan Wiebe, Craig Gidney, Hartmut Neven, and Ryan Babbush. Compilation of fault-tolerant quantum heuristics for combinatorial optimization. PRX Quantum, 1: 020312, Nov 2020. 10.1103/PRXQuantum.1.020312. URL https://doi.org/10.1103/PRXQuantum.1.020312. https://doi.org/10.1103/PRXQuantum.1.020312 [83] Savage, Martin J. Quantum computing for nuclear physics. EPJ Web Conf., 296: 01025, 2024. 10.1051/epjconf/202429601025. URL https://doi.org/10.1051/epjconf/202429601025. https://doi.org/10.1051/epjconf/202429601025 [84] Ansgar Schubert and Christian B. Mendl. Trotter error with commutator scaling for the fermi-hubbard model. Phys. Rev. B, 108: 195105, 1 2023. 10.1103/PhysRevB.108.195105. URL https://doi.org/10.1103/PhysRevB.108.195105. https://doi.org/10.1103/PhysRevB.108.195105 [85] J. E. Sobczyk and S. Bacca. $^{16}\mathrm{O}$ spectral function from coupled-cluster theory: Applications to lepton-nucleus scattering. Phys. Rev. C, 109: 044314, Apr 2024. 10.1103/PhysRevC.109.044314. URL https://doi.org/10.1103/PhysRevC.109.044314. https://doi.org/10.1103/PhysRevC.109.044314 [86] J. E. Sobczyk, B. Acharya, S. Bacca, and G. Hagen. Ab initio computation of the longitudinal response function in $^{40}\mathrm{Ca}$. Phys. Rev. Lett., 127: 072501, Aug 2021. 10.1103/PhysRevLett.127.072501. URL https://doi.org/10.1103/PhysRevLett.127.072501. https://doi.org/10.1103/PhysRevLett.127.072501 [87] J. E. Sobczyk, W. Jiang, and A. Roggero. Spin response of neutron matter in ab initio approach. Phys. Rev. Lett., 134: 192701, May 2025. 10.1103/PhysRevLett.134.192701. URL https://doi.org/10.1103/PhysRevLett.134.192701. https://doi.org/10.1103/PhysRevLett.134.192701 [88] Joanna E. Sobczyk and Alessandro Roggero. Spectral density reconstruction with chebyshev polynomials. Phys. Rev. E, 105: 055310, 5 2022. 10.1103/PhysRevE.105.055310. URL https://doi.org/10.1103/PhysRevE.105.055310. https://doi.org/10.1103/PhysRevE.105.055310 [89] Luca Spagnoli, Chiara Lissoni, and Alessandro Roggero. Code for quantum simulation of nuclear dynamics in first quantization, 5 2026. URL https://doi.org/10.5281/zenodo.20041384. https://doi.org/10.5281/zenodo.20041384 [90] Ionel Stetcu. Antisymmetrization of composite fermionic states for quantum simulations of nuclear reactions in first-quantization mapping. arXiv preprint arXiv:2512.16138, 2025. arXiv:2512.16138 [91] Yuan Su, Dominic W. Berry, Nathan Wiebe, Nicholas Rubin, and Ryan Babbush. Fault-tolerant quantum simulations of chemistry in first quantization. PRX Quantum, 2: 040332, Nov 2021a. 10.1103/PRXQuantum.2.040332. URL https://doi.orgi/10.1103/PRXQuantum.2.040332. https://doi.org/10.1103/PRXQuantum.2.040332 [92] Yuan Su, Hsin-Yuan Huang, and Earl T. Campbell. Nearly tight trotterization of interacting electrons. Quantum, 5: 495, jul 2021b. 10.22331/q-2021-07-05-495. URL https://doi.org/10.22331. https://doi.org/10.22331/q-2021-07-05-495 [93] Masuo Suzuki. General theory of fractal path integrals with applications to many‐body theories and statistical physics. Journal of Mathematical Physics, 32 (2): 400–407, 02 1991. ISSN 0022-2488. 10.1063/1.529425. URL https://doi.org/10.1063/1.529425. https://doi.org/10.1063/1.529425 [94] U. van Kolck. Effective field theory of short-range forces. Nuclear Physics A, 645 (2): 273–302, 1999. ISSN 0375-9474. https://doi.org/10.1016/S0375-9474(98)00612-5. URL https://www.sciencedirect.com/science/article/pii/S0375947498006125. https://doi.org/10.1016/S0375-9474(98)00612-5 https://www.sciencedirect.com/science/article/pii/S0375947498006125 [95] F Verstraete and J I Cirac. Mapping local hamiltonians of fermions to local hamiltonians of spins. Journal of Statistical Mechanics: Theory and Experiment, 2005 (09): P09012, sep 2005. 10.1088/1742-5468/2005/09/P09012. URL https://dx.doi.org/10.1088/1742-5468/2005/09/P09012. https://doi.org/10.1088/1742-5468/2005/09/P09012 [96] John Watrous. Frontmatter, pages i–iv.
Cambridge University Press, 2018. [97] James D. Watson, Jacob Bringewatt, Alexander F. Shaw, Andrew M. Childs, Alexey V. Gorshkov, and Zohreh Davoudi. Quantum algorithms for simulating nuclear effective field theories, 2023. URL https://arxiv.org/abs/2312.05344. arXiv:2312.05344 [98] R. Weiss, A. Baroni, J. Carlson, and I. Stetcu. Solving reaction dynamics with quantum computing algorithms. Phys. Rev. C, 111: 064004, Jun 2025. 10.1103/vs78-kwgz. URL https://doi.org/10.1103/vs78-kwgz. https://doi.org/10.1103/vs78-kwgz [99] M. Wiescher, C. A. Bertulani, C. R. Brune, R. J. deBoer, A. Diaz-Torres, L. R. Gasques, K. Langanke, P. Navrátil, W. Nazarewicz, J. Okołowicz, D. R. Phillips, M. Płoszajczak, S. Quaglioni, and A. Tumino. Quantum physics of stars. Rev. Mod. Phys., 97: 025003, May 2025. 10.1103/RevModPhys.97.025003. URL https://doi.org/10.1103/RevModPhys.97.025003. https://doi.org/10.1103/RevModPhys.97.025003 [100] E. Wigner. On the consequences of the symmetry of the nuclear hamiltonian on the spectroscopy of nuclei. Phys. Rev., 51: 106–119, Jan 1937. 10.1103/PhysRev.51.106. URL https://doi.org/10.1103/PhysRev.51.106. https://doi.org/10.1103/PhysRev.51.106 [101] Qian Xu, J Pablo Bonilla Ataides, Christopher A Pattison, Nithin Raveendran, Dolev Bluvstein, Jonathan Wurtz, Bane Vasić, Mikhail D Lukin, Liang Jiang, and Hengyun Zhou. Constant-overhead fault-tolerant quantum computation with reconfigurable atom arrays. Nature Physics, 20 (7): 1084–1090, 2024. 10.1038/s41567-024-02479-z. https://doi.org/10.1038/s41567-024-02479-z [102] Theodore J. Yoder, Eddie Schoute, Patrick Rall, Emily Pritchett, Jay M. Gambetta, Andrew W. Cross, Malcolm Carroll, and Michael E. Beverland. Tour de gross: A modular quantum computer based on bivariate bicycle codes, 2025. URL https://arxiv.org/abs/2506.03094. arXiv:2506.03094Cited byCould not fetch Crossref cited-by data during last attempt 2026-09-02 09:33:09: Could not fetch cited-by data for 10.22331/q-2026-09-02-2200 from Crossref. This is normal if the DOI was registered recently. Could not fetch ADS cited-by data during last attempt 2026-09-02 09:33:10: Cannot retrieve data from ADS due to rate limitations.This Paper is published in Quantum under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Copyright remains with the original copyright holders such as the authors or their institutions.
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