CyberIntel ⬡ News
★ Saved ◆ Cyber Reads
← Back ◌ Quantum Computing Mar 25, 2026

Enabling Chemically Accurate Quantum Phase Estimation in the Early Fault-Tolerant Regime

arXiv Quantum Archived Mar 25, 2026 ✓ Full text saved

arXiv:2603.22778v1 Announce Type: new Abstract: Quantum simulation of molecular electronic structure is one of the most promising applications of quantum computing. However, achieving chemically accurate predictions for strongly correlated systems requires quantum phase estimation (QPE) on fault-tolerant quantum computing (FTQC) devices. Existing resource estimates for typical FTQC architectures suggest that such calculations demand millions of physical qubits, thereby placing them beyond the re

Full text archived locally
✦ AI Summary · Claude Sonnet


    Quantum Physics [Submitted on 24 Mar 2026] Enabling Chemically Accurate Quantum Phase Estimation in the Early Fault-Tolerant Regime Shota Kanasugi, Riki Toshio, Kazunori Maruyama, Hirotaka Oshima Quantum simulation of molecular electronic structure is one of the most promising applications of quantum computing. However, achieving chemically accurate predictions for strongly correlated systems requires quantum phase estimation (QPE) on fault-tolerant quantum computing (FTQC) devices. Existing resource estimates for typical FTQC architectures suggest that such calculations demand millions of physical qubits, thereby placing them beyond the reach of near-term devices. Here, we investigate the feasibility of performing QPE for chemically relevant molecular systems in an early-FTQC regime, characterized by partial fault tolerance, constrained qubit budgets, and limited circuit depth. Our framework is based on single-ancilla, Trotter-based QPE implementations combined with partially randomized time evolution. Within this framework, we develop a novel Hamiltonian optimization strategy, termed unitary weight concentration, that reduces algorithmic cost by reshaping linear-combination-of-unitaries representations. Applying this framework to active-space models of iron-sulfur clusters, cytochrome P450 active sites, and CO_2-utilization catalysts, we perform end-to-end resource estimation using the latest version of the space-time efficient analog rotation (STAR) architecture. Our results indicate that ground-state energy estimation for active spaces of approximately 20 to 50 spatial orbitals, well beyond the reach of classical full configuration interaction, is achievable using \sim 10^5 physical qubits, with runtimes on the order of days to weeks. These findings demonstrate that while full-fledged fault-tolerant quantum computers will be required for even larger molecular simulations, chemically meaningful quantum chemistry problems are already within reach in an experimentally relevant, early-FTQC regime. Comments: 43 pages, 10 figures Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2603.22778 [quant-ph]   (or arXiv:2603.22778v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2603.22778 Focus to learn more Submission history From: Shota Kanasugi [view email] [v1] Tue, 24 Mar 2026 04:12:25 UTC (242 KB) Access Paper: HTML (experimental) view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-03 References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation 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 Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
    💬 Team Notes
    Article Info
    Source
    arXiv Quantum
    Category
    ◌ Quantum Computing
    Published
    Mar 25, 2026
    Archived
    Mar 25, 2026
    Full Text
    ✓ Saved locally
    Open Original ↗