A dynamic programming approach for distributing quantum circuits by bipartite graphs

• URL: http://arxiv.org/abs/2005.01052v1
• Date: Sun, 3 May 2020 11:08:37 GMT
• Title: A dynamic programming approach for distributing quantum circuits by bipartite graphs
• Authors: Zohreh Davarzani, Mariam Zomorodi-Moghadam, Mahboobeh Houshmand, Mostafa Nouri-baygi
• Abstract summary: Near-term large quantum computers are not able to operate as a single processing unit. It is required to partition a quantum circuit into smaller parts, and then each part is executed on a small unit. In this study, a dynamic programming algorithm is proposed to minimize the number of communications in a distributed quantum circuit.
• Score: 1.3249509346606656
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Near-term large quantum computers are not able to operate as a single processing unit. It is therefore required to partition a quantum circuit into smaller parts, and then each part is executed on a small unit. This approach is known as distributed quantum computation. In this study, a dynamic programming algorithm is proposed to minimize the number of communications in a distributed quantum circuit (DQC). This algorithm consists of two steps: first, the quantum circuit is converted into a bipartite graph model, and then a dynamic programming approach (DP) is proposed to partition the model into low-capacity quantum circuits. The proposed approach is evaluated on some benchmark quantum circuits with remarkable reduction in the number of required teleportations.

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