A Quantum Neural Network Computes Entanglement
E. C. Behrman, V. Chandrashekar, Z. Wang, C. K. Belur, J. E. Steck, S. R. Skinner
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.
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