量子比特电路的压缩:映射到混合维量子系统

Kevin Mato, S. Hillmich, R. Wille
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引用次数: 3

摘要

由于近年来取得的成就,量子计算机正在成为现实。目前可用的量子计算机提供数百个量子位,但在错误累积和量子态衰减之前,它们可以执行的操作数量仍然有限。在误差累积方面,CX或CZ等非局部操作是主要贡献者。减少所需非局部操作的一个有希望的解决方案是通过利用量子系统固有的高维能力来更有效地利用量子硬件。在一个称为电路压缩的过程中,量子位之间的非局部操作被映射到量子位(即高维系统)中的局部操作。在这项工作中,我们提出了一种实现量子电路压缩的策略,目的是将给定电路中的量子位簇映射到目标硬件的混合维量子位。此外,我们讨论了电路压缩的原理以及量子比特和量子位的物理结构,然后引入了一种新的表示,该表示捕捉了量子操作的本质,影响了图中节点和边的量子态的不同逻辑层次。在此基础上,我们提出了一种将任意门集的量子比特电路自动映射到混合维量子系统的方法,减少了非局部操作的数量。实证评估证实了所提议的方法的有效性,在几乎一半的情况下,将非本地业务的数量减少了50%。最后,相应的源代码可以在github.com/cda-tdum/qudit-compression上免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compression of Qubit Circuits: Mapping to Mixed-Dimensional Quantum Systems
Quantum computers are becoming a reality thanks to the accomplishments made in recent years. The quantum computers available today offer hundreds of qubits but are still limited in the number of operations they can perform before errors accumulate and the quantum state decays. In regard to the error accumulation, non-local operations such as CX or CZ are main contributors. One promising solution to reduce the number of required non-local operations is to make a more efficient use of the quantum hardware by exploiting the inherent high-dimensional capabilities of quantum systems. In a process called circuit compression, non-local operations between qubits are mapped to local operations in qudits, i.e., higher-dimensional systems. In this work, we present a strategy for enabling quantum circuit compression with the aim of mapping clusters of qubits in a given circuit to the mixed-dimensional qudits of the target hardware. Further, we discuss the principles of circuit compression as well as the physical structure of qubits and qudits, before introducing a new representation that captures the essence of quantum operations, affecting the different logical levels in the quantum states in nodes and edges of a graph. Based on this, we propose an automated approach for mapping qubit circuits of arbitrary gate sets to mixed-dimensional quantum systems, lowering the number of non-local operations. Empirical evaluations confirm the effectiveness of the proposed approach reducing the number of non-local operations by up to 50% for almost half of the cases. Finally, the corresponding source code is available freely at github.com/cda-tdum/qudit-compression.
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