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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