A Quantum Neural Network Computes Entanglement
arXiv:quant-ph/0202131
Abstract
An outstanding problem in quantum computing is the calculation of entanglement, for which no closed-form algorithm exists. Here we solve that problem, and demonstrate the utility of a quantum neural computer, by showing, in simulation, that such a device can be trained to calculate the entanglement of an input state, something neither an algorithmic quantum computer nor a classical neural net can do.
8 pages; 2 figures; 3 tables. Submitted to Phys. Rev. Lett