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Quantum Information Processing

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

  • 01-03-2018
Published in:
Authors
Ying-ying Tan
Xue-yun Cheng
Zhi-jin Guan
Yang Liu
Haiying Ma
Published in
Quantum Information Processing | Issue 3/2018

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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.

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previous article Characterization of classical static noise via qubit as probe
next article Efficient experimental design of high-fidelity three-qubit quantum gates via genetic programming
Title
Multi-strategy based quantum cost reduction of linear nearest-neighbor quantum circuit
Authors
Ying-ying Tan
Xue-yun Cheng
Zhi-jin Guan
Yang Liu
Haiying Ma
Publication date
01-03-2018
Publisher
Springer US
Published in
Quantum Information Processing / Issue 3/2018
Print ISSN: 1570-0755
Electronic ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-018-1832-y
This content is only visible if you are logged in and have the appropriate permissions.

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