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Ans\"atz Expressivity and Optimization in Variational Quantum Simulations of Transverse-field Ising Model Across System Sizes

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers analyzed VQE’s performance in simulating the Transverse Field Ising Model (TFIM) across 1D, 2D, and 3D systems with up to 27 spins, benchmarking against exact diagonalization to assess accuracy in capturing critical phenomena like entanglement entropy. Three ansätze were compared: Qiskit’s hardware-efficient EfficientSU2, the physics-inspired Hamiltonian Variational Ansatz (HVA), and a symmetry-breaking HVA variant, evaluated using energy variance, entanglement entropy, and magnetization metrics. The study reveals how ansatz expressivity and optimization strategies impact VQE’s ability to simulate highly entangled states, with HVA-based methods showing superior performance in larger systems. Findings highlight challenges in scaling variational algorithms for quantum simulations, particularly in maintaining accuracy as system size and dimensionality increase. Implications suggest trade-offs between hardware efficiency and physical accuracy, guiding future ansatz design for near-term quantum devices.
Ans\"atz Expressivity and Optimization in Variational Quantum Simulations of Transverse-field Ising Model Across System Sizes

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Quantum Physics arXiv:2604.20961 (quant-ph) [Submitted on 22 Apr 2026] Title:Ansätz Expressivity and Optimization in Variational Quantum Simulations of Transverse-field Ising Model Across System Sizes Authors:Ashutosh P. Tripathi, Nilmani Mathur, Vikram Tripathi View a PDF of the paper titled Ans\"atz Expressivity and Optimization in Variational Quantum Simulations of Transverse-field Ising Model Across System Sizes, by Ashutosh P. Tripathi and 1 other authors View PDF HTML (experimental) Abstract:We explore the application of the Variational Quantum Eigensolver (VQE) to investigate the ground state properties, particularly the entanglement entropy, of the Transverse Field Ising Model (TFIM) in one, two, and three dimensions, considering systems of up to 27 spins. By benchmarking VQE results against exact diagonalization and analyzing the entanglement properties across different system sizes and geometries, we assess the algorithm's effectiveness in capturing critical phenomena. Using results of TFIM, we also investigate how VQE's expressivity and optimization influence the simulation of highly entangled quantum states. We employ different ansätze: the hardware-efficient EfficientSU2 from Qiskit, the physics-inspired Hamiltonian Variational ansätz (HVA) and HVA with symmetry breaking, and benchmark their performance using energy variance, entanglement entropy, spin correlations, and magnetization. We further discuss the implications for scaling these methods to larger quantum systems. Comments: Subjects: Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech); High Energy Physics - Lattice (hep-lat) Report number: TIFR/TH/26-16 Cite as: arXiv:2604.20961 [quant-ph] (or arXiv:2604.20961v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2604.20961 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Ashutosh P. Tripathi [view email] [v1] Wed, 22 Apr 2026 18:00:11 UTC (2,307 KB) Full-text links: Access Paper: View a PDF of the paper titled Ans\"atz Expressivity and Optimization in Variational Quantum Simulations of Transverse-field Ising Model Across System Sizes, by Ashutosh P. Tripathi and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-04 Change to browse by: cond-mat cond-mat.stat-mech hep-lat 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?) 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?)

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Source: arXiv Quantum Physics