We explore by simulation ways in which an array of quantum dot molecules could serve as a quantum neural computer. First, we show that a single quantum dot molecule evolving in real time can act as a… (More)

We present a mathematical implementation of a quantum mechanical artificial neural network, in the quasi-continuu m regime, using the nonlinearity inherent in the real-time propagation of a quantum… (More)

We present a dynamic learning paradigm for " programming " a general quantum computer. A learning algorithm is used to find the control parameters for a coupled qubit system, such that the system at… (More)

An all-optical implementation of a feed-forward artificial neural network is presented that uses self-lensing materials in which the index of refraction is irradiance dependent. Many of these types… (More)

The optical bench training of an optical feedforward neural network, developed by the authors, is presented. The network uses an optical nonlinear material for neuron processing and a trainable… (More)

IEEE Transactions on Neural Networks and Learning…

2014

Entanglement of a quantum system depends upon the relative phase in complicated ways, which no single measurement can reflect. Because of this, “entanglement witnesses” (measures that estimate… (More)