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This paper introduces a method to compute certified bounds on state-eigenstate overlaps using Hamiltonian moments, offering a practical screening tool to improve the success probability of quantum phase estimation. By leveraging linear and semidefinite programs, the approach enables efficient selection of initial states for strongly correlated molecular systems, with implementation options ranging from classical computation to quantum expectation estimation.
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Bounding Eigenstate Overlap from Hamiltonian Moments: Success Probability Guarantees for Quantum Phase Estimation

arXiv2 min read

arXiv:2503.12224v2 Announce Type: replace Abstract: Estimating the overlap between a prepared state and a target eigenstate is crucial for the efficiency of quantum phase estimation (QPE), since QPE succeeds with probability equal to this overlap. We present a systematically improvable method to compute certified upper and lower bounds on such overlaps using a finite set of Hamiltonian moments. Our approach constructs optimal polynomial upper/lower bounds on an energy-window indicator and evaluates them through linear and semidefinite programs, yielding the tightest bounds consistent with the available moment and spectral-interval information. We demonstrate the method on strongly correlated molecular Hamiltonians and study the impact of approximate moments obtained from tensor-network contractions. The resulting bounds provide a practical pre-QPE screening tool for selecting initial states and can be implemented with either classical moment computation or quantum expectation estimation.

Abstract:Estimating the overlap between a prepared state and a target eigenstate is crucial for the efficiency of quantum phase estimation (QPE), since QPE succeeds with probability equal to this overlap. We present a systematically improvable method to compute certified upper and lower bounds on such overlaps using a finite set of Hamiltonian moments. Our approach constructs optimal polynomial upper/lower bounds on an energy-window indicator and evaluates them through linear and semidefinite programs, yielding the tightest bounds consistent with the available moment and spectral-interval information. We demonstrate the method on strongly correlated molecular Hamiltonians and study the impact of approximate moments obtained from tensor-network contractions. The resulting bounds provide a practical pre-QPE screening tool for selecting initial states and can be implemented with either classical moment computation or quantum expectation estimation.

Quantum Physics (quant-ph); Chemical Physics (physics.chem-ph)

arXiv:2503.12224 [quant-ph]

(or arXiv:2503.12224v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2503.12224 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 225 words

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