Back to News
quantum-computing

Exact Factorization of Unitary Transformations with Spin-Adapted Generators

Paarth Jain, Artur F. Izmaylov, Erik R. Kjellgren
Loading...
3 min read
0 likes
⚡ Quantum Brief
Researchers Paarth Jain, Artur Izmaylov, and Erik Kjellgren introduced a breakthrough method for exact factorization of spin-adapted unitary transformations in quantum algorithms, addressing a key challenge in quantum chemistry simulations. Their approach enables precise decomposition of fermionic double excitation rotations into ordered Pauli operator exponentials, preserving spin symmetry by design—a critical requirement for accurate electronic wavefunction modeling on quantum hardware. The method leverages small Lie algebras formed by elementary operators, reformulating the factorization as a low-dimensional nonlinear optimization problem in the adjoint representation, avoiding computationally expensive symbolic manipulations. This technique reduces quantum circuit implementation costs while maintaining physical meaning in variational quantum algorithms, particularly for molecular simulations where spin symmetry is often violated by traditional methods. The work provides a practical, numerically efficient framework for constructing symmetry-conserving quantum circuits, advancing the feasibility of near-term quantum simulations in electronic structure problems.
AI Audio Summary
0:00 / 0:00
Click to play
Quantum computing technology
Unsplash · Validated Fallback

Quantum Physics arXiv:2511.14914 (quant-ph) [Submitted on 18 Nov 2025] Title:Exact Factorization of Unitary Transformations with Spin-Adapted Generators Authors:Paarth Jain, Artur F. Izmaylov, Erik R. Kjellgren View a PDF of the paper titled Exact Factorization of Unitary Transformations with Spin-Adapted Generators, by Paarth Jain and 2 other authors View PDF HTML (experimental) Abstract:Preserving spin symmetry in variational quantum algorithms is essential for producing physically meaningful electronic wavefunctions. Implementing spin-adapted transformations on quantum hardware, however, is challenging because the corresponding fermionic generators translate into noncommuting Pauli operators. In this work, we introduce an exact and computationally efficient factorization of spin-adapted unitaries derived from fermionic double excitation and deexcitation rotations. These unitaries are expressed as ordered products of exponentials of Pauli operators. Our method exploits the fact that the elementary operators in these generators form small Lie algebras. By working in the adjoint representation of these algebras, we reformulate the factorization problem as a low-dimensional nonlinear optimization over matrix exponentials. This approach enables precise numerical reparametrization of the unitaries without relying on symbolic manipulations. The proposed factorization provides a practical strategy for constructing symmetry-conserving quantum circuits within variational algorithms. It preserves spin symmetry by design, reduces implementation cost, and ensures the accurate representation of electronic states in quantum simulations of molecular systems. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2511.14914 [quant-ph] (or arXiv:2511.14914v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2511.14914 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Erik Kjellgren [view email] [v1] Tue, 18 Nov 2025 21:06:54 UTC (40 KB) Full-text links: Access Paper: View a PDF of the paper titled Exact Factorization of Unitary Transformations with Spin-Adapted Generators, by Paarth Jain and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-11 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

Read Original

Tags

government-funding
quantum-algorithms
quantum-hardware
quantum-machine-learning
quantum-simulation

Source Information

Source: arXiv Quantum Physics

Discussion

0 professional contributions

Sign in to join this professional discussion.

Be the first to add a constructive contribution.