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在量子处理器上实现拓扑有序态。

Realizing topologically ordered states on a quantum processor.

机构信息

Google Quantum AI, Mountain View, CA, USA.

Department of Physics, Technical University of Munich, 85748 Garching, Germany.

出版信息

Science. 2021 Dec 3;374(6572):1237-1241. doi: 10.1126/science.abi8378. Epub 2021 Dec 2.

Abstract

The discovery of topological order has revised the understanding of quantum matter and provided the theoretical foundation for many quantum error–correcting codes. Realizing topologically ordered states has proven to be challenging in both condensed matter and synthetic quantum systems. We prepared the ground state of the toric code Hamiltonian using an efficient quantum circuit on a superconducting quantum processor. We measured a topological entanglement entropy near the expected value of –ln2 and simulated anyon interferometry to extract the braiding statistics of the emergent excitations. Furthermore, we investigated key aspects of the surface code, including logical state injection and the decay of the nonlocal order parameter. Our results demonstrate the potential for quantum processors to provide insights into topological quantum matter and quantum error correction.

摘要

拓扑序的发现修正了人们对量子物质的理解,并为许多量子纠错码提供了理论基础。在凝聚态和合成量子系统中,实现拓扑有序态已被证明是具有挑战性的。我们使用超导量子处理器上的有效量子电路来制备托里码哈密顿量的基态。我们测量了接近预期值 -ln2 的拓扑纠缠熵,并模拟了任意子干涉测量以提取出涌现激发的辫子统计。此外,我们研究了表面码的关键方面,包括逻辑态注入和非局域序参量的衰减。我们的结果表明,量子处理器有可能深入了解拓扑量子物质和量子纠错。

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