A quantum neural network computes its own relative phase
Behrman, Elizabeth C. Steck, James E.
Behrman, Elizabeth C.
Steck, James E.
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2013-04-17
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Conference paper
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Mathematical model,Neural networks,Quantum computing,Quantum entanglement,Testing,Time measurement,Training
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Citation
Behrman, E.C.; Steck, J.E., "A quantum neural network computes its own relative phase," Swarm Intelligence (SIS), 2013 IEEE Symposium on , vol., no., pp.119-124, 16-19 April 2013 doi: 10.1109/SIS.2013.6615168
Abstract
Complete characterization of the state of a quantum system made up of subsystems requires determination of relative phase, because of interference effects between the subsystems. For a system of qubits used as a quantum computer this is especially vital, because the entanglement, which is the basis for the quantum advantage in computing, depends intricately on phase. We present here a first step towards that determination, in which we use a two-qubit quantum system as a quantum neural network, which is trained to compute and output its own relative phase.
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IEEE
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Swarm Intelligence (SIS), 2013 IEEE Symposium on; 16-19 Apr. 2013, Singapore