James Edward Steck - researchr alias

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Viewing Publication 1 - 27 from 27

2021

Quantum circuit representation of Bayesian networksSima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck. eswa, 176:114768, 2021. [doi]

2020

Experimental evaluation of quantum Bayesian networks on IBM QX hardwareSima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck. qce 2020: 372-378 [doi]

Quantum learning with noise and decoherence: a robust quantum neural networkNam H. Nguyen, Elizabeth C. Behrman, James Edward Steck. qmi, 2(1):1-15, 2020. [doi]

Benchmarking Neural Networks For Quantum ComputationsNam H. Nguyen, Elizabeth C. Behrman, Mohamed A. Moustafa, James Edward Steck. tnn, 31(7):2522-2531, 2020. [doi]

A non-algorithmic approach to "programming" quantum computers via machine learningNathan L. Thompson, James Edward Steck, Elizabeth C. Behrman. qce 2020: 63-71 [doi]

Experimental pairwise entanglement estimation for an N -qubit systemNathan L. Thompson, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck. qip, 19(11):1-18, 2020. [doi]

Experimental pairwise entanglement estimation for an N-qubit systemNathan L. Thompson, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck. qip, 19(10):394, 2020. [doi]

2017

Learning quantum annealingElizabeth C. Behrman, James Edward Steck, M. A. Moustafa. qic, 17(5&6):469-487, 2017. [doi]

Programming quantum annealing computers using machine learningElizabeth C. Behrman, James Edward Steck. SMC 2017: 288-293 [doi]

2014

On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural NetworksElizabeth C. Behrman, Richard E. F. Bonde, James Edward Steck, Joanna F. Behrman. tnn, 25(9):1696-1703, 2014. [doi]

Adaptive Flight-Control Design Using Neural-Network-Aided Optimal Nonlinear Dynamic InversionGeethalakshmi S. Lakshmikanth, Radhakant Padhi, John M. Watkins, James Edward Steck. jacic, 11(11):785-806, 2014. [doi]

2013

Multiqubit entanglement of a general input stateElizabeth C. Behrman, James Edward Steck. qic, 13(1-2):36-53, 2013. [doi]

A quantum neural network computes its own relative phaseElizabeth C. Behrman, James Edward Steck. kit 2013: 119-124 [doi]

2012

Adaptive Critic Optimization of Dynamic Inverse ControlJames Edward Steck, Geethalakshmi S. Lakshmikanth, John M. Watkins. itaero 2012: [doi]

2011

Dynamic learning of pairwise and three-way entanglementElizabeth C. Behrman, James Edward Steck. nabic 2011: 99-104 [doi]

Single Network Adaptive Critic aided nonlinear dynamic inversion for suboptimal command trackingGeethalakshmi S. Lakshmikanth, Radhakant Padhi, John M. Watkins, James Edward Steck. IEEEisic 2011: 1347-1352 [doi]

2008

Quantum Simulataneous Recurrent Networks for Content Addressable MemoryRaheel Allauddin, Stuart Boehmer, Elizabeth C. Behrman, Kavitha Gaddam, James Edward Steck. In Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle, editors, Quantum Inspired Intelligent Systems. Volume 121 of Studies in Computational Intelligence, pages 57-76, Springer, 2008. [doi]

Quantum algorithm design using dynamic learningElizabeth C. Behrman, James Edward Steck, Prem Kumar, K. A. Walsh. qic, 8(1):12-29, 2008. [doi]

2006

Towards the Dynamic Learning of an Experimental Entanglement WitnessElizabeth C. Behrman, James Edward Steck, Preethika K. Gagnebin, Steven R. Skinner. cec 2006: 2613-2621 [doi]

Paint Thickness Measurement Using Acoustic InterferenceBinod Pant, Steven R. Skinner, James Edward Steck. tim, 55(5):1720-1724, 2006. [doi]

2000

Simulations of quantum neural networksElizabeth C. Behrman, L. R. Nash, James Edward Steck, V. G. Chandrashekar, Steven R. Skinner. isci, 128(3-4):257-269, 2000.

Reinforcement and backpropagation training for an optical neural network using self-lensing effectsAlvaro A. Cruz-Cabrara, Mingtao Yang, Guoqi Cui, Elizabeth C. Behrman, James Edward Steck, Steven R. Skinner. tnn, 11(6):1450-1457, 2000. [doi]

1999

Optical hardware backpropagation neural networkSteven R. Skinner, James Edward Steck, Alvaro A. Cruz-Cabrara, Mingtao Yang, Elizabeth C. Behrman. ijcnn 1999: 2351-2356 [doi]

1995

Neural networks-extraordinary variationHans Peter Graf, Leonardo Maria Reyneri, D. C. Burns, I. Underwood, Alan F. Murray, D. G. Vass, Steven R. Skinner, James Edward Steck, Elizabeth C. Behrman, Lionel Tarassenko, Stefan Rüping, Karl Goser, Ulrich Rückert 0001. micro, 15(3):48-59, 1995. [doi]

1994

A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical NetworksJames Edward Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman. nips 1995: 771-778 [doi]

1993

Parallel Implementation of a Recursive Least-Squares Neural Network Training Method on the Intel iPSC/2James Edward Steck, Bruce M. McMillin, K. Krishnamurthy, Gary G. Leininger. jpdc, 18(1):89-93, 1993.

1990

Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2James Edward Steck, Bruce M. McMillin, K. Krishnamurthy, M. R. Ashouri, Gary G. Leininger. ijcnn 1990: 631-636 [doi]

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