A quantum neural network computes entanglement
Abstract
An outstanding problem in quantum computing is the calculation of entanglement, for which no general 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 any pure or mixed input state, something neither an algorithmic quantum computer nor a classical neural network can do.
- Publication:
-
APS March Meeting Abstracts
- Pub Date:
- March 2003
- Bibcode:
- 2003APS..MARS19011B