Quantum neural computation of entanglement is robust to noise and decoherence
E.C. Behrman; N.H. Nguyen; J.E. Steck; M. McCann Wichita State University, Wichita, KS, United States
Abstract
Measurement and witnesses of entanglement remain an important issue in quantum computing. Most witnesses will work for only a very restricted class of states, while measurements commonly require lengthy procedures. Quantum neural entanglement indicators are both more general and easier to implement. The neural network entanglement indicator can be used for a pure or a mixed state, and the system need not be “close” to any particular state; moreover, as the size of the system grows, the amount of additional training necessary diminishes. Here ...
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