Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/124762
Title: Variational Gibbs state preparation on noisy intermediate-scale quantum devices
Authors: Consiglio, Mirko
Settino, Jacopo
Giordano, Andrea
Mastroianni, Carlo
Plastina, Francesco
Lorenzo, Salvatore
Maniscalco, Sabrina
Goold, John
Apollaro, Tony John George
Keywords: Computational intelligence
Quantum computers
Quantum physics
White noise theory
Nonequilibrium thermodynamics
Issue Date: 2024
Publisher: American Physical Society
Citation: Consiglio, M., Settino, J., Giordano, A., Mastroianni, C., Plastina, F., Lorenzo, S.,...Apollaro, T. J. (2024). Variational Gibbs state preparation on noisy intermediate-scale quantum devices. Physical Review A, 110(1), 012445.
Abstract: The preparation of an equilibrium thermal state of a quantum many-body system on noisy intermediatescale quantum (NISQ) devices is an important task in order to extend the range of applications of quantum computation. Faithful Gibbs state preparation would pave the way to investigate protocols such as thermalization and out-of-equilibrium thermodynamics and provide useful resources for quantum algorithms, where sampling from Gibbs states constitutes a key subroutine. We propose a variational quantum algorithm (VQA) to prepare Gibbs states of a quantum many-body system. The novelty of our VQA consists of implementing a parameterized quantum circuit acting on two distinct, yet connected (via CNOT gates), quantum registers. The VQA evaluates the Helmholtz free energy, where the von Neumann entropy is obtained via postprocessing of computational-basis measurements on one register, while the Gibbs state is prepared on the other register via a unitary rotation in the energy basis. Finally, we benchmark our VQA by preparing Gibbs states of the transverse-field Ising and Heisenberg XXZ models and achieve remarkably high fidelities across a broad range of temperatures in state-vector simulations. We also assess the performance of the VQA on IBM quantum computers, showcasing.
URI: https://www.um.edu.mt/library/oar/handle/123456789/124762
Appears in Collections:Scholarly Works - FacSciPhy

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