Quantum critical dynamics in a 5000-qubit programmable spin glass

• URL: http://arxiv.org/abs/2207.13800v2
• Date: Tue, 18 Apr 2023 18:00:57 GMT
• Title: Quantum critical dynamics in a 5000-qubit programmable spin glass
• Authors: Andrew D. King, Jack Raymond, Trevor Lanting, Richard Harris, Alex Zucca, Fabio Altomare, Andrew J. Berkley, Kelly Boothby, Sara Ejtemaee, Colin Enderud, Emile Hoskinson, Shuiyuan Huang, Eric Ladizinsky, Allison J.R. MacDonald, Gaelen Marsden, Reza Molavi, Travis Oh, Gabriel Poulin-Lamarre, Mauricio Reis, Chris Rich, Yuki Sato, Nicholas Tsai, Mark Volkmann, Jed D. Whittaker, Jason Yao, Anders W. Sandvik and Mohammad H. Amin
• Abstract summary: We realize quantum critical spin-glass dynamics on thousands of qubits with a superconducting quantum annealer. We extract critical exponents that clearly distinguish quantum annealing from Monte Carlo algorithms.
• Score: 1.1940694880568357
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Experiments on disordered alloys suggest that spin glasses can be brought into low-energy states faster by annealing quantum fluctuations than by conventional thermal annealing. Due to the importance of spin glasses as a paradigmatic computational testbed, reproducing this phenomenon in a programmable system has remained a central challenge in quantum optimization. Here we achieve this goal by realizing quantum critical spin-glass dynamics on thousands of qubits with a superconducting quantum annealer. We first demonstrate quantitative agreement between quantum annealing and time-evolution of the Schr\"odinger equation in small spin glasses. We then measure dynamics in 3D spin glasses on thousands of qubits, where simulation of many-body quantum dynamics is intractable. We extract critical exponents that clearly distinguish quantum annealing from the slower stochastic dynamics of analogous Monte Carlo algorithms, providing both theoretical and experimental support for a scaling advantage in reducing energy as a function of annealing time.

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