CANOE: Classically Assisted Non-Orthogonal Eigensolver
Jihyeon Park, Collin C. D. Frink, Matthew Otten

TL;DR
CANOE is a hybrid quantum-classical eigensolver that combines quantum states with classical basis states to improve ground-state approximations, using efficient overlap evaluation and stabilization techniques for early fault-tolerant quantum simulations.
Contribution
It introduces a novel hybrid basis framework with protocols for overlap evaluation and stabilization, advancing practical quantum simulation methods.
Findings
Hybrid basis improves ground-state representation.
Histogram-based protocol approaches chemical accuracy.
Stabilization mitigates ill-conditioning in eigenvalue problems.
Abstract
In the early fault-tolerant regime, where quantum resources remain limited, hybrid quantum-classical strategies offer one possible route toward quantum advantage. We introduce CANOE, the Classically Assisted Non-Orthogonal Eigensolver, as such an approach, distributing Rayleigh-Ritz basis states between quantum and classical hardware. This approach leverages the expressive power of quantum states, which are costly to reproduce classically, while augmenting them with a large pool of classically generated basis states that can be incorporated at negligible computational cost. We validate this through numerical simulations of a 76-qubit chromium atom system, quantifying how each additional quantum basis state enhances ground-state representability and how the inclusion of classical states further amplifies this improvement. Such a hybrid basis framework necessarily requires an efficient…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
