利用隐形传态分布量子电路

R. Sundaram, Himanshu Gupta
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引用次数: 2

摘要

可扩展性是目前量子计算领域最受追捧的目标之一。在量子网络中分布量子电路是使用当前量子计算机进行大规模计算的一种方法。在本文中,我们考虑了在异构量子计算机网络中分布量子电路的问题,同时最小化实现跨多台计算机的门所需的隐形传态数量(通信成本)。我们为这个问题设计了两种算法。第一种被称为Local-Best,最初在整个网络中分配量子位,然后只在必要时才尝试传送量子位,在不久的将来,传送会受到门的影响。第二种,称为零拼接,将给定电路分成子电路,这样每个子电路可以使用零隐形传输执行,并且在子电路边界产生的隐形传输成本最小。我们在广泛的随机生成电路以及已知的基准上评估我们的算法,并将其性能与先前的工作进行比较。我们观察到,我们的技术比之前的方法有显著的优势(高达50%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributing Quantum Circuits Using Teleportations
Scalability is currently one of the most sought-after objectives in the field of quantum computing. Distributing a quantum circuit across a quantum network is one way to facilitate large computations using current quantum computers. In this paper, we consider the problem of distributing a quantum circuit across a network of heterogeneous quantum computers, while minimizing the number of teleportations (the communication cost) needed to implement gates spanning multiple computers. We design two algorithms for this problem. The first, called Local-Best, initially distributes the qubits across the network, then tries to teleport qubits only when necessary, with teleportations being influenced by gates in the near future. The second, called Zero-Stitching, divides the given circuit into sub-circuits such that each sub-circuit can be executed using zero teleportations and the teleportation cost incurred at the borders of the sub-circuits is minimal. We evaluate our algorithms over a wide range of randomly-generated circuits as well as known benchmarks, and compare their performance to prior work. We observe that our techniques outperform the prior approach by a significant margin (up to 50%).
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