Thermalization and Criticality on an Analog-Digital Quantum Simulator, Part 2: benchmarking
ORAL
Abstract
Achieving quantum simulations of complex physical phenomena that are intractable for classical computers is a major milestone in quantum computing. We demonstrate such a regime by studying the analog time-evolution of a 2D XY spin model implemented on a 69-qubit quantum processor. To accurately benchmark this evolution, we introduce a novel and scalable calibration technique specifically designed for analog quantum simulation. Our experiments, validated by cross-entropy benchmarking at systems up to 35 qubits, exhibit error rates under 0.1% per qubit per cycle, rapid entanglement saturation and convergence to a robust Porter-Thomas bitstring distribution.
The combination of fast dynamics and low error rates results in a very pure and entangled state quantified by the maximum reached mixed-state entanglement entropy. This combination ensures high computational complexity even using state-of-the-art classical techniques.
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Publication: https://arxiv.org/abs/2405.17385
Presenters
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Nikita Astrakhantsev
Google Quantum AI
Authors
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Nikita Astrakhantsev
Google Quantum AI
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Trond Ikdahl Andersen
Google LLC
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Amir H Karamlou
Google Quantum AI
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Aaron M S Szasz
Google LLC
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Julia Berndtsson
Google Quantum AI
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Johannes Motruk
University of Geneva
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Jonathan A Gross
Google LLC
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Tom Westerhout
Radboud University
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Alexander Schuckert
University of Maryland College Park
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Xiao Mi
Google LLC
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Dmitry Abanin
Google LLC
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Guifre Vidal Bonafont
Google LLC
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Pedram Roushan
Google LLC
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Andreas M Laeuchli
Univ of Innsbruck