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Coherent quantum annealing in a programmable 2000-qubit Ising chain

Authors :
King, Andrew D.
Suzuki, Sei
Raymond, Jack
Zucca, Alex
Lanting, Trevor
Altomare, Fabio
Berkley, Andrew J.
Ejtemaee, Sara
Hoskinson, Emile
Huang, Shuiyuan
Ladizinsky, Eric
MacDonald, Allison
Marsden, Gaelen
Oh, Travis
Poulin-Lamarre, Gabriel
Reis, Mauricio
Rich, Chris
Sato, Yuki
Whittaker, Jed D.
Yao, Jason
Harris, Richard
Lidar, Daniel A.
Nishimori, Hidetoshi
Amin, Mohammad H.
Source :
Nature Physics Vol. 18, 1324-1328 (2022)
Publication Year :
2022

Abstract

Quantum simulation has emerged as a valuable arena for demonstrating and understanding the capabilities of near-term quantum computers. Quantum annealing has been used successfully in simulating a range of open quantum systems, both at equilibrium and out of equilibrium. However, in all previous experiments, annealing has been too slow to simulate a closed quantum system coherently, due to the onset of thermal effects from the environment. Here we demonstrate coherent evolution through a quantum phase transition in the paradigmatic setting of the 1D transverse-field Ising chain, using up to 2000 superconducting flux qubits in a programmable quantum annealer. In large systems we observe the quantum Kibble-Zurek mechanism with theoretically predicted kink statistics, as well as characteristic positive kink-kink correlations, independent of system temperature. In small chains, excitation statistics validate the picture of a Landau-Zener transition at a minimum gap. In both cases, results are in quantitative agreement with analytical solutions to the closed-system quantum model. For slower anneals we observe anti-Kibble-Zurek scaling in a crossover to the open quantum regime. These experiments demonstrate that large-scale quantum annealers can be operated coherently, paving the way to exploiting coherent dynamics in quantum optimization, machine learning, and simulation tasks.

Subjects

Subjects :
Quantum Physics

Details

Database :
arXiv
Journal :
Nature Physics Vol. 18, 1324-1328 (2022)
Publication Type :
Report
Accession number :
edsarx.2202.05847
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/s41567-022-01741-6