Weighted Feedback-Based Quantum Algorithm for Excited States Calculation

Drawing inspiration from the Lyapunov control technique for quantum systems, feedback-based quantum al-gorithms have been proposed for calculating the ground states of Hamiltonians. In this work, we consider extending these algorithms to tackle calculating excited states. Inspired by the weighted subspace-search variational quantum eigensolver al-gorithm, we propose a novel weighted feedback-based quantum algorithm for excited state calculation. We show that depending on how we design the weights and the feedback law, we can prepare the pth excited state or lowest energy states up to the pth excited state. Through an application in quantum chemistry, we show the effectiveness of the proposed algorithm, evaluating its efficacy via numerical simulations.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.00029
Citations
2
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.69
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article

Weighted Feedback-Based Quantum Algorithm for Excited States Calculation

Rafał Wiśniewski, Salahuddin Abdul Rahman, Özkan Karabacak
2 citations
Quantum Computing Algorithms and Architecture
0.69
article

Weighted Feedback-Based Quantum Algorithm for Excited States Calculation

Rafał Wiśniewski, Salahuddin Abdul Rahman, Özkan Karabacak
article en
2 citations

Abstract

Drawing inspiration from the Lyapunov control technique for quantum systems, feedback-based quantum al-gorithms have been proposed for calculating the ground states of Hamiltonians. In this work, we consider extending these algorithms to tackle calculating excited states. Inspired by the weighted subspace-search variational quantum eigensolver al-gorithm, we propose a novel weighted feedback-based quantum algorithm for excited state calculation. We show that depending on how we design the weights and the feedback law, we can prepare the pth excited state or lowest energy states up to the pth excited state. Through an application in quantum chemistry, we show the effectiveness of the proposed algorithm, evaluating its efficacy via numerical simulations.

Kadir Has University (TR), Aalborg University (DK)
Openalex Percentile: Top 22%
Quantum Computing Algorithms and Architecture
0.69
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