Abstract
Any quantum algorithm has to be implemented by quantum circuit. However, due to the existence of decoherence time and the difficulty of importing ancillae qubits, we introduce a new method which can greatly reduce the operating time steps by making good use of relaxing qubits without new ancillae qubits.This concept presented in this paper can be generalized to the other quantum networks.
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© 2006 Springer-Verlag Berlin Heidelberg
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Jiang, M., Zhang, Zk., Tarn, TJ. (2006). Quantum Network Optimization Based on the Use of Relaxing Qubits. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_105
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DOI: https://doi.org/10.1007/978-3-540-37275-2_105
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37274-5
Online ISBN: 978-3-540-37275-2
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