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Multi-strategy based quantum cost reduction of linear nearest-neighbor quantum circuit

Research paper by Ying-ying Tan, Xue-yun Cheng, Zhi-jin Guan, Yang Liu, Haiying Ma

Indexed on: 01 Feb '18Published on: 31 Jan '18Published in: Quantum Information Processing



Abstract

With the development of reversible and quantum computing, study of reversible and quantum circuits has also developed rapidly. Due to physical constraints, most quantum circuits require quantum gates to interact on adjacent quantum bits. However, many existing quantum circuits nearest-neighbor have large quantum cost. Therefore, how to effectively reduce quantum cost is becoming a popular research topic. In this paper, we proposed multiple optimization strategies to reduce the quantum cost of the circuit, that is, we reduce quantum cost from MCT gates decomposition, nearest neighbor and circuit simplification, respectively. The experimental results show that the proposed strategies can effectively reduce the quantum cost, and the maximum optimization rate is 30.61% compared to the corresponding results.