Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Nagao, Kazuma, Julià-Farré, Sergi, Vovrosh, Joseph, Dauphin, Alexandre, Yunoki, Seiji
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866908466975604736
author Nagao, Kazuma
Julià-Farré, Sergi
Vovrosh, Joseph
Dauphin, Alexandre
Yunoki, Seiji
author_facet Nagao, Kazuma
Julià-Farré, Sergi
Vovrosh, Joseph
Dauphin, Alexandre
Yunoki, Seiji
contents We explore a pulse-based variational quantum eigensolver (VQE) algorithm for Rydberg atoms in optical tweezer arrays and evaluate its performance on prototypical quantum spin models. We numerically demonstrate that the ground states of the one-dimensional antiferromagnetic Heisenberg model and the mixed-field Ising model can be accurately prepared using an adaptive update algorithm that randomly segments pulse sequences, for systems of up to ten qubits. Furthermore, we propose and validate a hybrid scheme that integrates this pulse-level analog quantum algorithm with a variational quantum gate approach, where digital quantum gates are approximated by optimized analog pulses. This enables efficient measurement of the cost function for target many-body Hamiltonians.
format Preprint
id arxiv_https___arxiv_org_abs_2507_19153
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays
Nagao, Kazuma
Julià-Farré, Sergi
Vovrosh, Joseph
Dauphin, Alexandre
Yunoki, Seiji
Quantum Physics
Quantum Gases
Statistical Mechanics
We explore a pulse-based variational quantum eigensolver (VQE) algorithm for Rydberg atoms in optical tweezer arrays and evaluate its performance on prototypical quantum spin models. We numerically demonstrate that the ground states of the one-dimensional antiferromagnetic Heisenberg model and the mixed-field Ising model can be accurately prepared using an adaptive update algorithm that randomly segments pulse sequences, for systems of up to ten qubits. Furthermore, we propose and validate a hybrid scheme that integrates this pulse-level analog quantum algorithm with a variational quantum gate approach, where digital quantum gates are approximated by optimized analog pulses. This enables efficient measurement of the cost function for target many-body Hamiltonians.
title Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays
topic Quantum Physics
Quantum Gases
Statistical Mechanics
url https://arxiv.org/abs/2507.19153