Work

A quantum neural network computes its own relative phase

Year: 2013
Type: preprint
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.
Authors: Behrman, E. C., Steck, J. E.
Language: English
Open Access status: green
OpenAlex ID: W2266680412
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Cited by: 6
Related to: 20