Simulating magic state cultivation with few Clifford terms

Summarize this article with:
AbstractBuilding upon $\textit{Wan, Zhong (2025)}$ [5] we present a few methods on how to simulate the non-Clifford $d=5$ magic state cultivation circuits[4] with a sum of $\approx 8$ Clifford ZX-diagrams on average, at $0.1\%$ noise. Compared to a magic cat state stabiliser decomposition of all $53$ non-Clifford spiders ($6{,}377{,}292$ terms required), this is more than $7 \times 10^{5}$ times reduction in the number of terms. Our stabiliser decomposition has the advantage of representing the final non-Clifford state (in light of circuit errors) as a sum of Clifford ZX-diagrams. This will be useful in simulating the escape stage of magic state cultivation, where one needs to port the resultant state of cultivation into a larger Clifford circuit with many more qubits. Still, it's necessary to only track $\approx 8$ Clifford terms. Our result sheds light on the simulability of operationally relevant, high $T$-count quantum circuits with some internal structure. Finally, we provide numerical results for full non-Clifford stabiliser rank simulation based on $\mathtt{tsim}$ along with optimisations using our cutting decompositions. Nearly $4\times 10^{6}$ shots per second can be obtained on a laptop for the smaller $d = 3$ circuits at uniform circuit level noise $p=0.0005$, making it only $\sim$$1.1$ times slower than its (circuit-unspecific and un-optimised) fully Clifford proxy simulation via $\mathtt{stim}$ using $S$ gates.Featured image: Distance 3 magic state cultivation circuit as a ZX-diagram.► BibTeX data@article{Wan2026simulatingmagic, doi = {10.22331/q-2026-06-12-2134}, url = {https://doi.org/10.22331/q-2026-06-12-2134}, title = {Simulating magic state cultivation with few {C}lifford terms}, author = {Wan, Kwok Ho and Zhong, Zhenghao and Zapirain, Ainhoa}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}}, volume = {10}, pages = {2134}, month = jun, year = {2026} }► References [1] Sergey Bravyi and Alexei Kitaev. Universal quantum computation with ideal Clifford gates and noisy ancillas. Physical Review A, 71 (2), February 2005. ISSN 1094-1622. 10.1103/physreva.71.022316. URL http://dx.doi.org/10.1103/PhysRevA.71.022316. https://doi.org/10.1103/physreva.71.022316 [2] Daniel Litinski.
Magic State Distillation: Not as Costly as You Think. Quantum, 3: 205, December 2019a. ISSN 2521-327X. 10.22331/q-2019-12-02-205. URL http://dx.doi.org/10.22331/q-2019-12-02-205. https://doi.org/10.22331/q-2019-12-02-205 [3] Daniel Litinski. A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery. Quantum, 3: 128, March 2019b. ISSN 2521-327X. 10.22331/q-2019-03-05-128. URL http://dx.doi.org/10.22331/q-2019-03-05-128. https://doi.org/10.22331/q-2019-03-05-128 [4] Craig Gidney, Noah Shutty, and Cody Jones. Magic state cultivation: growing T states as cheap as CNOT gates, 2024. URL https://arxiv.org/abs/2409.17595. arXiv:2409.17595 [5] Kwok Ho Wan and Zhenghao Zhong. Cutting stabiliser decompositions of magic state cultivation with ZX-calculus, 2025. URL https://arxiv.org/abs/2509.01224. arXiv:2509.01224 [6] Rafael Haenel et al. tsim: Universal Quantum Circuit Sampler based on ZX Stabilizer Rank Decomposition, 2026a. URL https://github.com/QuEraComputing/tsim. Version 0.1.0, Apache-2.0 License. https://github.com/QuEraComputing/tsim [7] Rafael Haenel, Xiuzhe Luo, and Chen Zhao. Tsim: Fast Universal Simulator for Quantum Error Correction, 2026b. URL https://arxiv.org/abs/2604.01059. arXiv:2604.01059 [8] Matthew Sutcliffe. Novel Methods for Classical Simulation of Quantum Circuits via ZX-Calculus. PhD thesis, University of Oxford, 2025. URL https://ora.ox.ac.uk/objects/uuid:54d6e7f4-b845-4275-98cd-cf6749530d9b/files/d9s1616869. https://ora.ox.ac.uk/objects/uuid:54d6e7f4-b845-4275-98cd-cf6749530d9b/files/d9s1616869 [9] Sergey Bravyi, Graeme Smith, and John A. Smolin. Trading Classical and Quantum Computational Resources. Phys. Rev. X, 6: 021043, Jun 2016. 10.1103/PhysRevX.6.021043. URL https://doi.org/10.1103/PhysRevX.6.021043. https://doi.org/10.1103/PhysRevX.6.021043 [10] Daniel Gottesman.
The Heisenberg Representation of Quantum Computers, 1998. URL https://arxiv.org/abs/quant-ph/9807006. arXiv:quant-ph/9807006 [11] Scott Aaronson and Daniel Gottesman. Improved simulation of stabilizer circuits. Physical Review A, 70 (5), November 2004. ISSN 1094-1622. 10.1103/physreva.70.052328. URL http://dx.doi.org/10.1103/PhysRevA.70.052328. https://doi.org/10.1103/physreva.70.052328 [12] Bryan Eastin and Emanuel Knill. Restrictions on Transversal Encoded Quantum Gate sets.
Physical Review Letters, 102 (11), March 2009. ISSN 1079-7114. 10.1103/physrevlett.102.110502. URL http://dx.doi.org/10.1103/PhysRevLett.102.110502. https://doi.org/10.1103/physrevlett.102.110502 [13] Bob Coecke and Aleks Kissinger.
Picturing Quantum Processes: A First Course in Quantum Theory and Diagrammatic Reasoning.
Cambridge University Press, 2017. 10.1017/9781316219317. https://doi.org/10.1017/9781316219317 [14] John van de Wetering. ZX-calculus for the working quantum computer scientist, 2020. URL https://arxiv.org/abs/2012.13966. arXiv:2012.13966 [15] Aleks Kissinger and John van de Wetering.
Picturing Quantum Software: An Introduction to the ZX-Calculus and Quantum Compilation. Preprint, 2024. URL https://github.com/zxcalc/book. https://github.com/zxcalc/book [16] Aleks Kissinger and John van de Wetering. Simulating quantum circuits with ZX-calculus reduced stabiliser decompositions. Quantum Science and Technology, 7 (4): 044001, 2022. 10.1088/2058-9565/ac5d20. https://doi.org/10.1088/2058-9565/ac5d20 [17] Matthew Sutcliffe and Aleks Kissinger.
Fast Classical Simulation of Quantum Circuits via Parametric Rewriting in the ZX-Calculus. Electronic Proceedings in Theoretical Computer Science, 426: 247–269, August 2025. ISSN 2075-2180. 10.4204/eptcs.426.10. URL http://dx.doi.org/10.4204/EPTCS.426.10. https://doi.org/10.4204/eptcs.426.10 [18] Aleks Kissinger and John van de Wetering. PyZX: Large Scale Automated Diagrammatic Reasoning.
In Bob Coecke and Matthew Leifer, editors, Proceedings 16th International Conference on Quantum Physics and Logic, Chapman University, Orange, CA, USA., 10-14 June 2019, volume 318 of Electronic Proceedings in Theoretical Computer Science, pages 229–241.
Open Publishing Association, 2020. 10.4204/EPTCS.318.14. https://doi.org/10.4204/EPTCS.318.14 [19] Hector Bombin, Daniel Litinski, Naomi Nickerson, Fernando Pastawski, and Sam Roberts. Unifying flavors of fault tolerance with the ZX calculus. Quantum, 8: 1379, June 2024. ISSN 2521-327X. 10.22331/q-2024-06-18-1379. URL http://dx.doi.org/10.22331/q-2024-06-18-1379. https://doi.org/10.22331/q-2024-06-18-1379 [20] Benjamin Rodatz, Boldizsár Poór, and Aleks Kissinger. Fault Tolerance by Construction, 2025. URL https://arxiv.org/abs/2506.17181. arXiv:2506.17181 [21] Ying Li. A magic state’s fidelity can be superior to the operations that created it. New Journal of Physics, 17 (2): 023037, February 2015. ISSN 1367-2630. 10.1088/1367-2630/17/2/023037. URL http://dx.doi.org/10.1088/1367-2630/17/2/023037. https://doi.org/10.1088/1367-2630/17/2/023037 [22] Hammam Qassim, Hakop Pashayan, and David Gosset. Improved upper bounds on the stabilizer rank of magic states. Quantum, 5: 606, December 2021. ISSN 2521-327X. 10.22331/q-2021-12-20-606. URL http://dx.doi.org/10.22331/q-2021-12-20-606. https://doi.org/10.22331/q-2021-12-20-606 [23] Julien Codsi. Cutting-Edge Graphical Stabiliser Decompositions for Classical Simulation of Quantum Circuits. Master's thesis, University of Oxford, 2022. URL https://www.cs.ox.ac.uk/people/aleks.kissinger/theses/codsi-thesis.pdf. https://www.cs.ox.ac.uk/people/aleks.kissinger/theses/codsi-thesis.pdf [24] Aleks Kissinger, John van de Wetering, and Renaud Vilmart. Classical Simulation of Quantum Circuits with Partial and Graphical Stabiliser Decompositions. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022. 10.4230/LIPICS.TQC.2022.5. URL https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TQC.2022.5. https://doi.org/10.4230/LIPICS.TQC.2022.5 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TQC.2022.5 [25] Sergey Bravyi, Dan Browne, Padraic Calpin, Earl Campbell, David Gosset, and Mark Howard. Simulation of quantum circuits by low-rank stabilizer decompositions. Quantum, 3: 181, 2019. ISSN 2521-327X. 10.22331/q-2019-09-02-181. URL http://dx.doi.org/10.22331/q-2019-09-02-181. https://doi.org/10.22331/q-2019-09-02-181 [26] Matthew Sutcliffe and Aleks Kissinger. Procedurally Optimised ZX-Diagram Cutting for Efficient T-Decomposition in Classical Simulation. Electronic Proceedings in Theoretical Computer Science, 406: 63–78, August 2024. ISSN 2075-2180. 10.4204/eptcs.406.3. URL http://dx.doi.org/10.4204/EPTCS.406.3. https://doi.org/10.4204/eptcs.406.3 [27] Pedro Sales Rodriguez, John M. Robinson, Paul Niklas Jepsen, Zhiyang He, Casey Duckering, Chen Zhao, Kai-Hsin Wu, Joseph Campo, Kevin Bagnall, Minho Kwon, Thomas Karolyshyn, Phillip Weinberg, Madelyn Cain, Simon J. Evered, et al. Experimental demonstration of logical magic state distillation. Nature, 645 (8081): 620–625, 2025. ISSN 1476-4687. 10.1038/s41586-025-09367-3. URL http://dx.doi.org/10.1038/s41586-025-09367-3. https://doi.org/10.1038/s41586-025-09367-3 [28] Mark Koch, Richie Yeung, and Quanlong Wang. Speedy Contraction of ZX Diagrams with Triangles via Stabiliser Decompositions, 2023. URL https://doi.org/10.1088/1402-4896/ad6fd8. https://doi.org/10.1088/1402-4896/ad6fd8 [29] Yves Vollmeier.
Graphical Stabilizer Decompositions for Multi-Control Toffoli Gate Dense Quantum Circuits, 2025. URL https://arxiv.org/abs/2503.03798. arXiv:2503.03798 [30] Craig Gidney. Data for "Magic state cultivation: growing T states as cheap as CNOT gates". Zenodo, September 2024. 10.5281/zenodo.13777072. https://doi.org/10.5281/zenodo.13777072 [31] James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. JAX: composable transformations of Python+NumPy programs, 2018. URL http://github.com/jax-ml/jax. http://github.com/jax-ml/jax [32] Rafael Haenel. PyZX-Param, 2026. URL https://github.com/rafaelha/pyzx. Fork of PyZX based on ParamZX: https://github.com/mjsutcliffe99/ParamZX. https://github.com/rafaelha/pyzx [33] Craig Gidney. Stim: a fast stabilizer circuit simulator. Quantum, 5: 497, July 2021. ISSN 2521-327X. 10.22331/q-2021-07-06-497. URL http://dx.doi.org/10.22331/q-2021-07-06-497. https://doi.org/10.22331/q-2021-07-06-497 [34] Chris J. Maddison, Daniel Tarlow, and Tom Minka. A$^{\ast}$ Sampling, 2015. URL https://arxiv.org/abs/1411.0030. arXiv:1411.0030 [35] E. J. Gumbel and J. Lieblein. Statistical theory of extreme values and some practical applications: A series of lectures. 1954. [36] Kaavya Sahay, Pei-Kai Tsai, Kathleen Chang, Qile Su, Thomas B. Smith, Shraddha Singh, and Shruti Puri. Fold-transversal surface code cultivation, 2025. URL https://arxiv.org/abs/2509.05212. arXiv:2509.05212 [37] Jahan Claes. Cultivating T states on the surface code with only two-qubit gates, 2025. URL https://arxiv.org/abs/2509.05232. arXiv:2509.05232 [38] Samyak Surti, Lucas Daguerre, and Isaac H. Kim. Efficient Simulation of Logical Magic State Preparation Protocols. PRX Quantum, 7: 020329, May 2026. 10.1103/fby6-xjbm. URL https://doi.org/10.1103/fby6-xjbm. https://doi.org/10.1103/fby6-xjbm [39] Yotam Vaknin, Shoham Jacoby, Arne Grimsmo, and Alex Retzker.
High Rate Magic State Cultivation on the Surface Code. PRX Quantum, 7: 010353, Mar 2026. 10.1103/p8tw-6kq9. URL https://doi.org/10.1103/p8tw-6kq9. https://doi.org/10.1103/p8tw-6kq9 [40] Zi-Han Chen, Ming-Cheng Chen, Chao-Yang Lu, and Jian-Wei Pan.
Efficient Magic State Cultivation on ${\mathbb{R}\mathbb{P}}^{2}$. PRX Quantum, 7: 010315, Jan 2026. 10.1103/9kys-3whh. URL https://doi.org/10.1103/9kys-3whh. https://doi.org/10.1103/9kys-3whh [41] Riling Li, Keli Zheng, Yiming Zhang, Huazhe Lou, Shenggang Ying, Ke Liu, and Xiaoming Sun. SOFT: a high-performance simulator for universal fault-tolerant quantum circuits, 2025. URL https://arxiv.org/abs/2512.23037. arXiv:2512.23037 [42] Kwok Ho Wan, Zhenghao Zhong, and Ainhoa Zapirain.
Accelerated Exact Sampling for Magic State Cultivation, 2026. URL https://github.com/kh428/accel-cutting-magic-state. Apache-2.0 License. https://github.com/kh428/accel-cutting-magic-stateCited by[1] William J. Huggins, Tanuj Khattar, Amanda Xu, Matthew Harrigan, Christopher Kang, Guang Hao Low, Austin Fowler, Nicholas C. Rubin, and Ryan Babbush, "The FLuid Allocation of Surface code Qubits (FLASQ) cost model for early fault-tolerant quantum algorithms", arXiv:2511.08508, (2025). [2] Samyak Surti, Lucas Daguerre, and Isaac H. Kim, "Efficient Simulation of Logical Magic State Preparation Protocols", PRX Quantum 7 2, 020329 (2026). [3] Jordan Hines, Corey Ostrove, Kenneth Rudinger, Stefan Seritan, Kevin Young, Robin Blume-Kohout, and Timothy Proctor, "Simulating Quantum Error Correction beyond Pauli Stochastic Errors", arXiv:2603.18457, (2026). [4] Beatriz Dias, Jan Lukas Bosse, and James R. Seddon, "Optimal and improved gate decompositions for accelerated classical simulation of near-Gaussian fermionic circuits", arXiv:2603.18869, (2026). [5] Dongmin Kim, Jeonggeun Seo, Aniket Patra, and Youngsun Han, "Reducing Postselection Overhead in Magic-State Cultivation by In-Patch Multiplexing", arXiv:2605.03616, (2026). The above citations are from SAO/NASA ADS (last updated successfully 2026-06-12 12:07:26). The list may be incomplete as not all publishers provide suitable and complete citation data.Could not fetch Crossref cited-by data during last attempt 2026-06-12 12:07:24: Could not fetch cited-by data for 10.22331/q-2026-06-12-2134 from Crossref. This is normal if the DOI was registered recently.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. AbstractBuilding upon $\textit{Wan, Zhong (2025)}$ [5] we present a few methods on how to simulate the non-Clifford $d=5$ magic state cultivation circuits[4] with a sum of $\approx 8$ Clifford ZX-diagrams on average, at $0.1\%$ noise. Compared to a magic cat state stabiliser decomposition of all $53$ non-Clifford spiders ($6{,}377{,}292$ terms required), this is more than $7 \times 10^{5}$ times reduction in the number of terms. Our stabiliser decomposition has the advantage of representing the final non-Clifford state (in light of circuit errors) as a sum of Clifford ZX-diagrams. This will be useful in simulating the escape stage of magic state cultivation, where one needs to port the resultant state of cultivation into a larger Clifford circuit with many more qubits. Still, it's necessary to only track $\approx 8$ Clifford terms. Our result sheds light on the simulability of operationally relevant, high $T$-count quantum circuits with some internal structure. Finally, we provide numerical results for full non-Clifford stabiliser rank simulation based on $\mathtt{tsim}$ along with optimisations using our cutting decompositions. Nearly $4\times 10^{6}$ shots per second can be obtained on a laptop for the smaller $d = 3$ circuits at uniform circuit level noise $p=0.0005$, making it only $\sim$$1.1$ times slower than its (circuit-unspecific and un-optimised) fully Clifford proxy simulation via $\mathtt{stim}$ using $S$ gates.Featured image: Distance 3 magic state cultivation circuit as a ZX-diagram.► BibTeX data@article{Wan2026simulatingmagic, doi = {10.22331/q-2026-06-12-2134}, url = {https://doi.org/10.22331/q-2026-06-12-2134}, title = {Simulating magic state cultivation with few {C}lifford terms}, author = {Wan, Kwok Ho and Zhong, Zhenghao and Zapirain, Ainhoa}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}}, volume = {10}, pages = {2134}, month = jun, year = {2026} }► References [1] Sergey Bravyi and Alexei Kitaev. Universal quantum computation with ideal Clifford gates and noisy ancillas. Physical Review A, 71 (2), February 2005. ISSN 1094-1622. 10.1103/physreva.71.022316. URL http://dx.doi.org/10.1103/PhysRevA.71.022316. https://doi.org/10.1103/physreva.71.022316 [2] Daniel Litinski.
Magic State Distillation: Not as Costly as You Think. Quantum, 3: 205, December 2019a. ISSN 2521-327X. 10.22331/q-2019-12-02-205. URL http://dx.doi.org/10.22331/q-2019-12-02-205. https://doi.org/10.22331/q-2019-12-02-205 [3] Daniel Litinski. A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery. Quantum, 3: 128, March 2019b. ISSN 2521-327X. 10.22331/q-2019-03-05-128. URL http://dx.doi.org/10.22331/q-2019-03-05-128. https://doi.org/10.22331/q-2019-03-05-128 [4] Craig Gidney, Noah Shutty, and Cody Jones. Magic state cultivation: growing T states as cheap as CNOT gates, 2024. URL https://arxiv.org/abs/2409.17595. arXiv:2409.17595 [5] Kwok Ho Wan and Zhenghao Zhong. Cutting stabiliser decompositions of magic state cultivation with ZX-calculus, 2025. URL https://arxiv.org/abs/2509.01224. arXiv:2509.01224 [6] Rafael Haenel et al. tsim: Universal Quantum Circuit Sampler based on ZX Stabilizer Rank Decomposition, 2026a. URL https://github.com/QuEraComputing/tsim. Version 0.1.0, Apache-2.0 License. https://github.com/QuEraComputing/tsim [7] Rafael Haenel, Xiuzhe Luo, and Chen Zhao. Tsim: Fast Universal Simulator for Quantum Error Correction, 2026b. URL https://arxiv.org/abs/2604.01059. arXiv:2604.01059 [8] Matthew Sutcliffe. Novel Methods for Classical Simulation of Quantum Circuits via ZX-Calculus. PhD thesis, University of Oxford, 2025. URL https://ora.ox.ac.uk/objects/uuid:54d6e7f4-b845-4275-98cd-cf6749530d9b/files/d9s1616869. https://ora.ox.ac.uk/objects/uuid:54d6e7f4-b845-4275-98cd-cf6749530d9b/files/d9s1616869 [9] Sergey Bravyi, Graeme Smith, and John A. Smolin. Trading Classical and Quantum Computational Resources. Phys. Rev. X, 6: 021043, Jun 2016. 10.1103/PhysRevX.6.021043. URL https://doi.org/10.1103/PhysRevX.6.021043. https://doi.org/10.1103/PhysRevX.6.021043 [10] Daniel Gottesman.
The Heisenberg Representation of Quantum Computers, 1998. URL https://arxiv.org/abs/quant-ph/9807006. arXiv:quant-ph/9807006 [11] Scott Aaronson and Daniel Gottesman. Improved simulation of stabilizer circuits. Physical Review A, 70 (5), November 2004. ISSN 1094-1622. 10.1103/physreva.70.052328. URL http://dx.doi.org/10.1103/PhysRevA.70.052328. https://doi.org/10.1103/physreva.70.052328 [12] Bryan Eastin and Emanuel Knill. Restrictions on Transversal Encoded Quantum Gate sets.
Physical Review Letters, 102 (11), March 2009. ISSN 1079-7114. 10.1103/physrevlett.102.110502. URL http://dx.doi.org/10.1103/PhysRevLett.102.110502. https://doi.org/10.1103/physrevlett.102.110502 [13] Bob Coecke and Aleks Kissinger.
Picturing Quantum Processes: A First Course in Quantum Theory and Diagrammatic Reasoning.
Cambridge University Press, 2017. 10.1017/9781316219317. https://doi.org/10.1017/9781316219317 [14] John van de Wetering. ZX-calculus for the working quantum computer scientist, 2020. URL https://arxiv.org/abs/2012.13966. arXiv:2012.13966 [15] Aleks Kissinger and John van de Wetering.
Picturing Quantum Software: An Introduction to the ZX-Calculus and Quantum Compilation. Preprint, 2024. URL https://github.com/zxcalc/book. https://github.com/zxcalc/book [16] Aleks Kissinger and John van de Wetering. Simulating quantum circuits with ZX-calculus reduced stabiliser decompositions. Quantum Science and Technology, 7 (4): 044001, 2022. 10.1088/2058-9565/ac5d20. https://doi.org/10.1088/2058-9565/ac5d20 [17] Matthew Sutcliffe and Aleks Kissinger.
Fast Classical Simulation of Quantum Circuits via Parametric Rewriting in the ZX-Calculus. Electronic Proceedings in Theoretical Computer Science, 426: 247–269, August 2025. ISSN 2075-2180. 10.4204/eptcs.426.10. URL http://dx.doi.org/10.4204/EPTCS.426.10. https://doi.org/10.4204/eptcs.426.10 [18] Aleks Kissinger and John van de Wetering. PyZX: Large Scale Automated Diagrammatic Reasoning.
In Bob Coecke and Matthew Leifer, editors, Proceedings 16th International Conference on Quantum Physics and Logic, Chapman University, Orange, CA, USA., 10-14 June 2019, volume 318 of Electronic Proceedings in Theoretical Computer Science, pages 229–241.
Open Publishing Association, 2020. 10.4204/EPTCS.318.14. https://doi.org/10.4204/EPTCS.318.14 [19] Hector Bombin, Daniel Litinski, Naomi Nickerson, Fernando Pastawski, and Sam Roberts. Unifying flavors of fault tolerance with the ZX calculus. Quantum, 8: 1379, June 2024. ISSN 2521-327X. 10.22331/q-2024-06-18-1379. URL http://dx.doi.org/10.22331/q-2024-06-18-1379. https://doi.org/10.22331/q-2024-06-18-1379 [20] Benjamin Rodatz, Boldizsár Poór, and Aleks Kissinger. Fault Tolerance by Construction, 2025. URL https://arxiv.org/abs/2506.17181. arXiv:2506.17181 [21] Ying Li. A magic state’s fidelity can be superior to the operations that created it. New Journal of Physics, 17 (2): 023037, February 2015. ISSN 1367-2630. 10.1088/1367-2630/17/2/023037. URL http://dx.doi.org/10.1088/1367-2630/17/2/023037. https://doi.org/10.1088/1367-2630/17/2/023037 [22] Hammam Qassim, Hakop Pashayan, and David Gosset. Improved upper bounds on the stabilizer rank of magic states. Quantum, 5: 606, December 2021. ISSN 2521-327X. 10.22331/q-2021-12-20-606. URL http://dx.doi.org/10.22331/q-2021-12-20-606. https://doi.org/10.22331/q-2021-12-20-606 [23] Julien Codsi. Cutting-Edge Graphical Stabiliser Decompositions for Classical Simulation of Quantum Circuits. Master's thesis, University of Oxford, 2022. URL https://www.cs.ox.ac.uk/people/aleks.kissinger/theses/codsi-thesis.pdf. https://www.cs.ox.ac.uk/people/aleks.kissinger/theses/codsi-thesis.pdf [24] Aleks Kissinger, John van de Wetering, and Renaud Vilmart. Classical Simulation of Quantum Circuits with Partial and Graphical Stabiliser Decompositions. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022. 10.4230/LIPICS.TQC.2022.5. URL https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TQC.2022.5. https://doi.org/10.4230/LIPICS.TQC.2022.5 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TQC.2022.5 [25] Sergey Bravyi, Dan Browne, Padraic Calpin, Earl Campbell, David Gosset, and Mark Howard. Simulation of quantum circuits by low-rank stabilizer decompositions. Quantum, 3: 181, 2019. ISSN 2521-327X. 10.22331/q-2019-09-02-181. URL http://dx.doi.org/10.22331/q-2019-09-02-181. https://doi.org/10.22331/q-2019-09-02-181 [26] Matthew Sutcliffe and Aleks Kissinger. Procedurally Optimised ZX-Diagram Cutting for Efficient T-Decomposition in Classical Simulation. Electronic Proceedings in Theoretical Computer Science, 406: 63–78, August 2024. ISSN 2075-2180. 10.4204/eptcs.406.3. URL http://dx.doi.org/10.4204/EPTCS.406.3. https://doi.org/10.4204/eptcs.406.3 [27] Pedro Sales Rodriguez, John M. Robinson, Paul Niklas Jepsen, Zhiyang He, Casey Duckering, Chen Zhao, Kai-Hsin Wu, Joseph Campo, Kevin Bagnall, Minho Kwon, Thomas Karolyshyn, Phillip Weinberg, Madelyn Cain, Simon J. Evered, et al. Experimental demonstration of logical magic state distillation. Nature, 645 (8081): 620–625, 2025. ISSN 1476-4687. 10.1038/s41586-025-09367-3. URL http://dx.doi.org/10.1038/s41586-025-09367-3. https://doi.org/10.1038/s41586-025-09367-3 [28] Mark Koch, Richie Yeung, and Quanlong Wang. Speedy Contraction of ZX Diagrams with Triangles via Stabiliser Decompositions, 2023. URL https://doi.org/10.1088/1402-4896/ad6fd8. https://doi.org/10.1088/1402-4896/ad6fd8 [29] Yves Vollmeier.
Graphical Stabilizer Decompositions for Multi-Control Toffoli Gate Dense Quantum Circuits, 2025. URL https://arxiv.org/abs/2503.03798. arXiv:2503.03798 [30] Craig Gidney. Data for "Magic state cultivation: growing T states as cheap as CNOT gates". Zenodo, September 2024. 10.5281/zenodo.13777072. https://doi.org/10.5281/zenodo.13777072 [31] James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. JAX: composable transformations of Python+NumPy programs, 2018. URL http://github.com/jax-ml/jax. http://github.com/jax-ml/jax [32] Rafael Haenel. PyZX-Param, 2026. URL https://github.com/rafaelha/pyzx. Fork of PyZX based on ParamZX: https://github.com/mjsutcliffe99/ParamZX. https://github.com/rafaelha/pyzx [33] Craig Gidney. Stim: a fast stabilizer circuit simulator. Quantum, 5: 497, July 2021. ISSN 2521-327X. 10.22331/q-2021-07-06-497. URL http://dx.doi.org/10.22331/q-2021-07-06-497. https://doi.org/10.22331/q-2021-07-06-497 [34] Chris J. Maddison, Daniel Tarlow, and Tom Minka. A$^{\ast}$ Sampling, 2015. URL https://arxiv.org/abs/1411.0030. arXiv:1411.0030 [35] E. J. Gumbel and J. Lieblein. Statistical theory of extreme values and some practical applications: A series of lectures. 1954. [36] Kaavya Sahay, Pei-Kai Tsai, Kathleen Chang, Qile Su, Thomas B. Smith, Shraddha Singh, and Shruti Puri. Fold-transversal surface code cultivation, 2025. URL https://arxiv.org/abs/2509.05212. arXiv:2509.05212 [37] Jahan Claes. Cultivating T states on the surface code with only two-qubit gates, 2025. URL https://arxiv.org/abs/2509.05232. arXiv:2509.05232 [38] Samyak Surti, Lucas Daguerre, and Isaac H. Kim. Efficient Simulation of Logical Magic State Preparation Protocols. PRX Quantum, 7: 020329, May 2026. 10.1103/fby6-xjbm. URL https://doi.org/10.1103/fby6-xjbm. https://doi.org/10.1103/fby6-xjbm [39] Yotam Vaknin, Shoham Jacoby, Arne Grimsmo, and Alex Retzker.
High Rate Magic State Cultivation on the Surface Code. PRX Quantum, 7: 010353, Mar 2026. 10.1103/p8tw-6kq9. URL https://doi.org/10.1103/p8tw-6kq9. https://doi.org/10.1103/p8tw-6kq9 [40] Zi-Han Chen, Ming-Cheng Chen, Chao-Yang Lu, and Jian-Wei Pan.
Efficient Magic State Cultivation on ${\mathbb{R}\mathbb{P}}^{2}$. PRX Quantum, 7: 010315, Jan 2026. 10.1103/9kys-3whh. URL https://doi.org/10.1103/9kys-3whh. https://doi.org/10.1103/9kys-3whh [41] Riling Li, Keli Zheng, Yiming Zhang, Huazhe Lou, Shenggang Ying, Ke Liu, and Xiaoming Sun. SOFT: a high-performance simulator for universal fault-tolerant quantum circuits, 2025. URL https://arxiv.org/abs/2512.23037. arXiv:2512.23037 [42] Kwok Ho Wan, Zhenghao Zhong, and Ainhoa Zapirain.
Accelerated Exact Sampling for Magic State Cultivation, 2026. URL https://github.com/kh428/accel-cutting-magic-state. Apache-2.0 License. https://github.com/kh428/accel-cutting-magic-stateCited by[1] William J. Huggins, Tanuj Khattar, Amanda Xu, Matthew Harrigan, Christopher Kang, Guang Hao Low, Austin Fowler, Nicholas C. Rubin, and Ryan Babbush, "The FLuid Allocation of Surface code Qubits (FLASQ) cost model for early fault-tolerant quantum algorithms", arXiv:2511.08508, (2025). [2] Samyak Surti, Lucas Daguerre, and Isaac H. Kim, "Efficient Simulation of Logical Magic State Preparation Protocols", PRX Quantum 7 2, 020329 (2026). [3] Jordan Hines, Corey Ostrove, Kenneth Rudinger, Stefan Seritan, Kevin Young, Robin Blume-Kohout, and Timothy Proctor, "Simulating Quantum Error Correction beyond Pauli Stochastic Errors", arXiv:2603.18457, (2026). [4] Beatriz Dias, Jan Lukas Bosse, and James R. Seddon, "Optimal and improved gate decompositions for accelerated classical simulation of near-Gaussian fermionic circuits", arXiv:2603.18869, (2026). [5] Dongmin Kim, Jeonggeun Seo, Aniket Patra, and Youngsun Han, "Reducing Postselection Overhead in Magic-State Cultivation by In-Patch Multiplexing", arXiv:2605.03616, (2026). The above citations are from SAO/NASA ADS (last updated successfully 2026-06-12 12:07:26). The list may be incomplete as not all publishers provide suitable and complete citation data.Could not fetch Crossref cited-by data during last attempt 2026-06-12 12:07:24: Could not fetch cited-by data for 10.22331/q-2026-06-12-2134 from Crossref. This is normal if the DOI was registered recently.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.
