2020
DOI: 10.48550/arxiv.2001.11637
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Probing the Universality of Topological Defect Formation in a Quantum Annealer: Kibble-Zurek Mechanism and Beyond

Yuki Bando,
Yuki Susa,
Hiroki Oshiyama
et al.

Abstract: The number of topological defects created in a system driven through a quantum phase transition exhibits a power-law scaling with the driving time. This universal scaling law is the key prediction of the Kibble-Zurek mechanism (KZM), and testing it using a hardware-based quantum simulator is a coveted goal of quantum information science. Here we provide such a test using quantum annealing. Specifically, we report on extensive experimental tests of topological defect formation via the one-dimensional transverse… Show more

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Cited by 3 publications
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“…Another research direction is the extension of this work to open systems where the annealing dynamics is incoherent, driven by coupling with an external reservoir [30,31]. This would open up the opportunity of testing the balanced embedding approach on D-Wave machines as well [32]. agonal matrix…”
Section: Discussionmentioning
confidence: 99%
“…Another research direction is the extension of this work to open systems where the annealing dynamics is incoherent, driven by coupling with an external reservoir [30,31]. This would open up the opportunity of testing the balanced embedding approach on D-Wave machines as well [32]. agonal matrix…”
Section: Discussionmentioning
confidence: 99%
“…Alternative superconducting approaches to QA with more coherent flux qubits are also being pursued, but have not yet approached similar scales [16][17][18][19][20], as is true for Rydberg atoms, which in theory feature high programmability and long-range connectivity [21,22]. Recently, the D-Wave processors were used as quantum simulators [23][24][25][26][27][28], thus joining gate-based approaches such as ion traps [29][30][31], quantum gas microscopes [32,33], Rydberg atoms [34][35][36], and transmon-based superconducting qubits [37][38][39][40]. This excursion to quantum simulation demonstrates that quantum annealing has started to transcend its original scope of heuristic optimization, connecting the field to the historical origins of quantum computation [41,42].…”
Section: Introductionmentioning
confidence: 99%
“…While concrete evidence illustrating their usefulness as practical solvers of optimization problems is still scarce [15,16] the possibility that they can function as efficient Boltzmann samplers [17][18][19] or as effective quantum simulators [20][21][22][23] has been gaining traction.…”
Section: Introductionmentioning
confidence: 99%