Analysis of quantum Krylov algorithms with errors

This work provides a nonasymptotic error analysis of quantum Krylov algorithms based on real-time evolutions, subject to generic errors in the outputs of the quantum circuits. We prove upper and lower bounds on the resulting ground state energy estimates, and the error associated to the upper bound is linear in the input error rates. This resolves a misalignment between known numerics, which exhibit approximately linear error scaling, and prior theoretical analysis, which only provably obtained scaling with the error rate to the power <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mfrac><mml:mn>2</mml:mn><mml:mn>3</mml:mn></mml:mfrac></mml:math>. Our main technique is to express generic errors in terms of an effective target Hamiltonian studied in an effective Krylov space. These results provide a theoretical framework for understanding the main features of quantum Krylov errors.

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Publication Details

Journal
Quantum
Published
2024-08-29
DOI
https://doi.org/10.22331/q-2024-08-29-1457
Citations
15
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
5.21
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article

Analysis of quantum Krylov algorithms with errors

William Kirby
15 citations
Quantum
Quantum Computing Algorithms and Architecture
5.21
article

Analysis of quantum Krylov algorithms with errors

William Kirby
article en
15 citations

Abstract

This work provides a nonasymptotic error analysis of quantum Krylov algorithms based on real-time evolutions, subject to generic errors in the outputs of the quantum circuits. We prove upper and lower bounds on the resulting ground state energy estimates, and the error associated to the upper bound is linear in the input error rates. This resolves a misalignment between known numerics, which exhibit approximately linear error scaling, and prior theoretical analysis, which only provably obtained scaling with the error rate to the power <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mfrac><mml:mn>2</mml:mn><mml:mn>3</mml:mn></mml:mfrac></mml:math>. Our main technique is to express generic errors in terms of an effective target Hamiltonian studied in an effective Krylov space. These results provide a theoretical framework for understanding the main features of quantum Krylov errors.

QuantumVol. 8
Cambridge Scientific (United States) (US)
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Openalex Percentile: Top 4%
Quantum Computing Algorithms and Architecture
5.21
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Analysis of quantum Krylov algorithms with errors — William Kirby · Quantum (2024) | TGRS Research Map | TGRS