Quantum state transfer with untuneable couplings (2008)
Gagnebin, P. K., Skinner, S., Behrman, E. C., Steck, J. E.
We present a general scheme for implementing bi-directional quantum state transfer in a quantum swapping channel. Unlike many other schemes for quantum computation and communication, our method does...
Quantum algorithm design using dynamic learning (2008)
Behrman, E. C., Steck, J. E., Kumar, P., Walsh, K. A.
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 an...
A genetic algorithm for finding pulse sequences for NMR quantum computing (2004)
Rethinam, M. J., Javali, A. K., Behrman, E. C., Steck, J. E., Skinner, S. R.
We present a genetic algorithm for finding a set of pulse sequences, or rotations, for a given quantum logic gate, as implemented by NMR. We demonstrate the utility of the method by showing that...
A Quantum Neural Network Computes Entanglement (2002)
Behrman, E. C., Chandrashekar, V., Wang, Z., Belur, C. K., Steck, J. E., Skinner, S. R.
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...
A Quantum Dot Neural Network (1998)
E. C. Behrman, J. Niemel, J. E. Steck, S. R. Skinner
We present a mathematical implementation of a quantum mechanical artificial neural network, in the quasi-continuum regime, using the nonlinearity inherent in the real-time propagation of a quantum...