A quantum neural network computes its own relative phase
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.
Description
Click on the DOI link to access this conference paper (may not be free).