DocumentCode :
3495198
Title :
Extracting one-way quantum computation patterns from quantum circuits
Author :
Houshmand, Mahboobeh ; Samavatian, Mohammad Hossein ; Zamani, Morteza Saheb ; Sedighi, Mehdi
Author_Institution :
Dept. of Comput. Eng. & Inf. Technol., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2012
fDate :
2-3 May 2012
Firstpage :
64
Lastpage :
69
Abstract :
In one-way quantum computations (1WQC), quantum correlations in an entangled state, called a cluster or graph state, are exploited to perform universal quantum computations using single-qubit measurements. The choices of bases for these measurements as well as the structure of the entanglements specify a quantum algorithm. The needed computations in this model are organized as patterns. Previously, an approach to extract a 1WQC pattern from a quantum circuit was proposed. The approach takes a quantum circuit consisting of only CZ andj(oc) gates and translates it into a 1WQC pattern after performing some known optimizations. However, most quantum synthesis algorithms decompose circuits using a library containing CNOT and any single-qubit gates. In this paper, we show how this approach can be modified in a way that it can take a circuit consisting of CNOT and any single-qubit gates as well as CZ and J(oc) gates to produce a 1WQC pattern. Experimental results show that adding CNOT gate directly to the pattern decreases the translation run-time.
Keywords :
circuit optimisation; quantum gates; 1WQC pattern; CNOT gate; CZ gate; J(α) gate; library containing CNOT; one-way quantum computation pattern; optimization; quantum circuit; quantum correlation; quantum synthesis algorithm; single-qubit gate; Computational modeling; Equations; Logic gates; Optimization methods; Quantum computing; Quantum entanglement; One-way quantum computations; measurement patterns; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Architecture and Digital Systems (CADS), 2012 16th CSI International Symposium on
Conference_Location :
Shiraz, Fars
Print_ISBN :
978-1-4673-1481-7
Type :
conf
DOI :
10.1109/CADS.2012.6316421
Filename :
6316421
Link To Document :
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