Feedback-based Quantum Algorithm Inspired by Counterdiabatic Driving

Fuente: arXiv
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Autori principali: Malla, Rajesh K., Sukeno, Hiroki, Yu, Hongye, Wei, Tzu-Chieh, Weichselbaum, Andreas, Konik, Robert M.
Natura: Preprint
Pubblicazione: 2024
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author Malla, Rajesh K.
Sukeno, Hiroki
Yu, Hongye
Wei, Tzu-Chieh
Weichselbaum, Andreas
Konik, Robert M.
author_facet Malla, Rajesh K.
Sukeno, Hiroki
Yu, Hongye
Wei, Tzu-Chieh
Weichselbaum, Andreas
Konik, Robert M.
contents In recent quantum algorithmic developments, a feedback-based approach has shown promise for preparing quantum many-body system ground states and solving combinatorial optimization problems. This method utilizes quantum Lyapunov control to iteratively construct quantum circuits. Here, we propose a substantial enhancement by implementing a protocol that uses ideas from quantum Lyapunov control and the counterdiabatic driving protocol, a key concept from quantum adiabaticity. Our approach introduces an additional control field inspired by counterdiabatic driving. We apply our algorithm to prepare ground states in one-dimensional quantum Ising spin chains. Comprehensive simulations demonstrate a remarkable acceleration in population transfer to low-energy states within a significantly reduced time frame compared to conventional feedback-based quantum algorithms. This acceleration translates to a reduced quantum circuit depth, a critical metric for potential quantum computer implementation. We validate our algorithm on the IBM cloud computer, highlighting its efficacy in expediting quantum computations for many-body systems and combinatorial optimization problems.
format Preprint
id arxiv_https___arxiv_org_abs_2401_15303
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Feedback-based Quantum Algorithm Inspired by Counterdiabatic Driving
Malla, Rajesh K.
Sukeno, Hiroki
Yu, Hongye
Wei, Tzu-Chieh
Weichselbaum, Andreas
Konik, Robert M.
Quantum Physics
In recent quantum algorithmic developments, a feedback-based approach has shown promise for preparing quantum many-body system ground states and solving combinatorial optimization problems. This method utilizes quantum Lyapunov control to iteratively construct quantum circuits. Here, we propose a substantial enhancement by implementing a protocol that uses ideas from quantum Lyapunov control and the counterdiabatic driving protocol, a key concept from quantum adiabaticity. Our approach introduces an additional control field inspired by counterdiabatic driving. We apply our algorithm to prepare ground states in one-dimensional quantum Ising spin chains. Comprehensive simulations demonstrate a remarkable acceleration in population transfer to low-energy states within a significantly reduced time frame compared to conventional feedback-based quantum algorithms. This acceleration translates to a reduced quantum circuit depth, a critical metric for potential quantum computer implementation. We validate our algorithm on the IBM cloud computer, highlighting its efficacy in expediting quantum computations for many-body systems and combinatorial optimization problems.
title Feedback-based Quantum Algorithm Inspired by Counterdiabatic Driving
topic Quantum Physics
url https://arxiv.org/abs/2401.15303