Search Results - "Behrman, E. C."

Benchmarking Neural Networks For Quantum Computations by Nguyen, Nam H., Behrman, E. C., Moustafa, Mohamed A., Steck, J. E.

“…The power of quantum computers is still somewhat speculative. Although they are certainly faster than classical ones at some tasks, the class of problems they…”
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Simulations of quantum neural networks by Behrman, E.C., Nash, L.R., Steck, J.E., Chandrashekar, V.G., Skinner, S.R.

“…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…”
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Experimental pairwise entanglement estimation for an N-qubit system :A machine learning approach for programming quantum hardware by Thompson, N. L, Nguyen, N. H, Behrman, E. C, Steck, J. E

“…Designing and implementing algorithms for medium and large scale quantum computers is not easy. In previous work we have suggested, and developed, the idea of…”
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Benchmarking neural networks for quantum computation by Nguyen, N. H, Behrman, E. C, Moustafa, M. A, Steck, J. E

“…IEEE TNNLS vol 31 pp 2522-2531 (2020) The power of quantum computers is still somewhat speculative. While they are certainly faster than classical ones at some…”
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Experimental pairwise entanglement estimation for an N-qubit system: A machine learning approach for programming quantum hardware by Thompson, Nathan L., Nguyen, N. H., Behrman, E. C., Steck, James E.

“…Designing and implementing algorithms for medium- and large-scale quantum computers is not easy. In the previous work, we have suggested, and developed, the…”
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Experimental pairwise entanglement estimation for an N-qubit system by Thompson, Nathan L, Nguyen, N H, Behrman, E C, Steck, James E

“…Designing and implementing algorithms for medium- and large-scale quantum computers is not easy. In the previous work, we have suggested, and developed, the…”
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Possibility of stable spheroid molecules of ZnO by Behrman, EC, Foehrweiser, RK, Myers, JR, French, BR, Zandler, ME

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Reinforcement and backpropagation training for an optical neural network using self-lensing effects by Cruz-Cabrera, A.A., Mingtao Yang, Guoqi Cui, Behrman, E.C., Steck, J.E., Skinner, S.R.

“…The optical bench training of an optical feedforward neural network, developed by the authors, is presented. The network uses an optical nonlinear material for…”
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Quantum state transfer with untuneable couplings by Gagnebin, P. K, Skinner, S, Behrman, E. C, Steck, J. E

“…Physical Review A 75, 022310 (2007) We present a general scheme for implementing bi-directional quantum state transfer in a quantum swapping channel. Unlike…”
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Quantum gates using a pulsed bias scheme by Gagnebin, P. K., Skinner, S. R., Behrman, E. C., Steck, J. E., Zhou, Z., Han, S.

“…We propose a scheme for realizing quantum gates [controlled-NOT (CNOT) and Toffoli] using a two-level quantum system by means of a pulsed bias. We show how to…”
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Magnetic and structural properties of YBa2Cu3O7-xFy as prepared by a NF3 gas anneal by LAGRAFF, J. R, BEHRMAN, E. C, TAYLOR, J. A. T, ROTELLA, F. J, JORGENSEN, J. D, WANG, L. Q, MATTOCKS, P. G

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Programming quantum annealing computers using machine learning by Behrman, E. C., Steck, J. E.

“…Commercial quantum annealing (QA) machines are now being built with hundreds of quantum bits (qubits). These are used as analog computers, to solve…”
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Learning quantum annealing by Behrman, E. C, Steck, J. E, Moustafa, M. A

“…Quantum information and computation 17, 0469-0487 (2017) We propose and develop a new procedure, whereby a quantum system can learn to anneal to a desired…”
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Dynamic learning of pairwise and three-way entanglement by Behrman, E. C., Steck, J. E.

“…In previous work, we have developed a dynamic learning paradigm for "programming" a general quantum computer. A learning algorithm is used to find a set of…”
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A quantum neural network computes its own relative phase by Behrman, E. C, Steck, J. E

“…IEEE Symposium Series on Computational Intelligence 2013, Singapore, April 15-19, 2013. (Institute of Electrical and Electronics Engineers) Complete…”
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Quantum neural computation of entanglement is robust to noise and decoherence by Behrman, E. C, Nguyen, N. H, Steck, J. E, McCann, M

“…Quantum Inspired Computational Intelligence: Research and Applications, S. Bhattacharyya, ed. (Morgan Kaufmann, Elsevier, 2016) rks and Learning Systems 25,…”
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Semiempirical molecular orbital calculation of geometric, electronic, and vibrational structures of metal oxide, metal sulfide, and other inorganic fullerene spheroids by Zandler, M.E., Behrman, E.C., Arrasmith, M.B., Myers, J.R., Smith, T.V.

“…We have performed semiempirical molecular orbital calculations, using the Austin Model 1# (AM1) and Parametric Method 3# (PM3) Hamiltonians of the program…”
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Multiqubit entanglement of a general input state by Behrman, E. C, Steck, J. E

“…Quantum Information and Computation 13, 36-53 (2013) Measurement of entanglement remains an important problem for quantum information. We present the design…”
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Towards the Dynamic Learning of an Experimental Entanglement Witness by Behrman, E.C., Steck, J.E., Gagnebin, P.K., Skinner, S.R.

“…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…”
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Quantum state transfer with untunable couplings by Gagnebin, P. K., Skinner, S. R., Behrman, E. C., Steck, J. E.

“…We present a general scheme for implementing bidirectional quantum state transfer in a quantum swapping channel. Unlike many other schemes for quantum…”
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