001022511 001__ 1022511
001022511 005__ 20240226075449.0
001022511 037__ $$aFZJ-2024-01501
001022511 1001_ $$0P:(DE-Juel1)196658$$aVodeb, Jaka$$b0
001022511 1112_ $$aNonequilibrium Quantum Workshop 2023$$cKrvavec$$d2023-12-10 - 2023-12-14$$wSlovenia
001022511 245__ $$aProbing dynamical resonances in a 5564 qubit quantum annealer
001022511 260__ $$c2023
001022511 3367_ $$033$$2EndNote$$aConference Paper
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001022511 520__ $$aUnderstanding the dynamics of complex, strongly interacting many-body systems is crucial in the field of quantum science and engineering. Recent advancements in controlling programmable many-body systems have provided insights into nonequilibrium states, often inaccessible to classical simulations [1-3]. This talk explores the concept of dynamical resonances, which are radically distinct magnetization dynamics occurring only within a very narrow parameter regime, in the transverse field Ising model realized on a quantum annealer. One example that emerges in such a resonant regime are quantum many-body scars, which are rare, non-thermalizing eigenstates that challenge our understanding of quantum thermalization and ergodicity [4-6].We will delve into the theoretical and experimental aspects of dynamical resonances, discussing their relevance in the context of quantum annealing [7,8]. In particular, we focus on their emergence in the ferromagnetic transverse field Ising model, examining how these elusive quantum phenomena might manifest in state-of-the-art quantum annealers equipped with up to 5564 qubits. The aim of this investigation is to shed light on the properties and dynamics of dynamical resonances, potentially leading to the largest non-equilibrium quantum simulation to date.This talk will encompass theoretical predictions, experimental setup, methodologies, and preliminary results. We will also touch upon the broader implications of understanding dynamical resonances, as they hold the potential to steer entanglement dynamics in complex many-body systems, opening new avenues in quantum science and engineering.[1] A.M. Kaufman et al. Science, 353, 794-800 (2016)[2] M. Schreiber et al. Science 349, 842–845 (2015)[3] T. Langen et al. Science 348, 207–211 (2015)[4] E. J. Heller Phys. Rev. Lett. 53, 1515–1518 (1984).[5] H. Bernien et al. Nature 551, 579–584 (2017).[6] C. J. Turner et al. Nat. Phys. 14, 745–749 (2018).[7] A.D. King et al. Nature 617, 61–66 (2023)[8] A.D. King et al. Nat. Phys. 18, 1324–1328 (2022)
001022511 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001022511 7001_ $$0P:(DE-Juel1)144355$$aJin, Fengping$$b1
001022511 7001_ $$0P:(DE-Juel1)167542$$aWillsch, Dennis$$b2
001022511 7001_ $$0P:(DE-Juel1)167543$$aWillsch, Madita$$b3
001022511 7001_ $$0P:(DE-Juel1)191142$$aRava, Andrea$$b4
001022511 7001_ $$0P:(DE-HGF)0$$aPapic, Zlatko$$b5
001022511 7001_ $$0P:(DE-HGF)0$$aDesaules, Jean-Yves$$b6
001022511 7001_ $$0P:(DE-Juel1)138295$$aMichielsen, Kristel$$b7
001022511 8564_ $$uhttps://nqw.ijs.si/
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001022511 9141_ $$y2023
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