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Simulating Floquet scrambling circuits on trapped-ion quantum computers

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arxiv 2405.07613 v3 pith:MVGGMU5T submitted 2024-05-13 quant-ph cond-mat.str-elhep-th

Simulating Floquet scrambling circuits on trapped-ion quantum computers

classification quant-ph cond-mat.str-elhep-th
keywords quantumscramblingcircuitsprotocolcomputerscorrelatorsdemonstrateentire
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Complex quantum many-body dynamics spread initially localized quantum information across the entire system. Information scrambling refers to such a process, whose simulation is one of the promising applications of quantum computing. We demonstrate the Hayden-Preskill recovery protocol and the interferometric protocol for calculating out-of-time-ordered correlators to study the scrambling property of a one-dimensional kicked-Ising model on 20-qubit trapped-ion quantum processors. The simulated quantum circuits have a geometrically local structure that exhibits the ballistic growth of entanglement, resulting in the circuit depth being linear in the number of qubits for the entire state to be scrambled. We experimentally confirm the growth of signals in the Hayden-Preskill recovery protocol and the decay of out-of-time-ordered correlators at late times. As an application of the created scrambling circuits, we also experimentally demonstrate the calculation of the microcanonical expectation values of local operators adopting the idea of thermal pure quantum states. Our experiments are made possible by extensively utilizing one of the highest-fidelity quantum processors currently available and, thus, should be considered as a benchmark for the current status of the most advanced quantum computers.

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Cited by 1 Pith paper

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  1. Microscopic Side Information Controls Ordered Hayden--Preskill Recovery

    quant-ph 2026-07 conditional novelty 7.0

    Without microscopic position labels, Hayden–Preskill recovery of a fixed diary requires Θ(n^{2/3}) output qubits; coarse block labels reduce this to n^{2/3}B^{-1/3} or n/B.