James Edward Steck

Publication Activity (10 Years)

Years Active: 1990-2021
Publications (10 Years): 13

Top Topics

Machine Learning

Quantum Computation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
Quantum circuit representation of Bayesian networks. Expert Syst. Appl. 176 (2021)
Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
Quantum learning with noise and decoherence: a robust quantum neural network. Quantum Mach. Intell. 2 (1) (2020)
Nathan L. Thompson, James Edward Steck, Elizabeth C. Behrman
A non-algorithmic approach to "programming" quantum computers via machine learning. QCE (2020)
Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck
Experimental evaluation of quantum Bayesian networks on IBM QX hardware. CoRR (2020)
Nam H. Nguyen, Elizabeth C. Behrman, Mohamed A. Moustafa, James Edward Steck
Benchmarking Neural Networks For Quantum Computations. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Ramkumar Harikrishnakumar, Saideep Nannapaneni, Nam H. Nguyen, James Edward Steck, Elizabeth C. Behrman
A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem. CoRR (2020)
Sam Heim, Jason Clemens, James Edward Steck, Christopher Basic, David Timmons, Kourtney Zwiener
Predictive Maintenance on Aircraft and Applications with Digital Twin. IEEE BigData (2020)
Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck
Experimental evaluation of quantum Bayesian networks on IBM QX hardware. QCE (2020)
Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
Quantum circuit representation of Bayesian networks. CoRR (2020)
Nathan L. Thompson, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
Experimental pairwise entanglement estimation for an N-qubit system. Quantum Inf. Process. 19 (10) (2020)
Elizabeth C. Behrman, James Edward Steck
Programming quantum annealing computers using machine learning. SMC (2017)
James Edward Steck, Elizabeth C. Behrman
Biologically motivated quantum neural networks. SMC (2017)
Elizabeth C. Behrman, James Edward Steck, Mohamed A. Moustafa
Learning quantum annealing. Quantum Inf. Comput. 17 (5&6) (2017)
Elizabeth C. Behrman, Richard E. F. Bonde, James Edward Steck, Joanna F. Behrman
On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25 (9) (2014)
Geethalakshmi S. Lakshmikanth, Radhakant Padhi, John M. Watkins, James Edward Steck
Adaptive Flight-Control Design Using Neural-Network-Aided Optimal Nonlinear Dynamic Inversion. J. Aerosp. Inf. Syst. 11 (11) (2014)
Venkatasubramani S. R. Pappu, James Edward Steck, Viswanathan Shanmugham, Guruganesh Ramamurthi
Modified State Observer based adaptive control law design for the Black Kite MAV. ACC (2014)
Elizabeth C. Behrman, James Edward Steck
A quantum neural network computes its own relative phase. SIS (2013)
Elizabeth C. Behrman, James Edward Steck
Multiqubit entanglement of a general input state. Quantum Inf. Comput. 13 (1-2) (2013)
James Edward Steck, Geethalakshmi S. Lakshmikanth, John M. Watkins
Adaptive Critic Optimization of Dynamic Inverse Control. Infotech@Aerospace (2012)
Elizabeth C. Behrman, James Edward Steck
Dynamic learning of pairwise and three-way entanglement. NaBIC (2011)
Geethalakshmi S. Lakshmikanth, Radhakant Padhi, John M. Watkins, James Edward Steck
Single Network Adaptive Critic aided nonlinear dynamic inversion for suboptimal command tracking. ISIC (2011)
Silvia Ferrari, James Edward Steck, Rajeev Chandramohan
Adaptive Feedback Control by Constrained Approximate Dynamic Programming. IEEE Trans. Syst. Man Cybern. Part B 38 (4) (2008)
Elizabeth C. Behrman, James Edward Steck, Prem Kumar, K. A. Walsh
Quantum algorithm design using dynamic learning. Quantum Inf. Comput. 8 (1) (2008)
Elizabeth C. Behrman, James Edward Steck, Preethika K. Gagnebin, Steven R. Skinner
Towards the Dynamic Learning of an Experimental Entanglement Witness. IEEE Congress on Evolutionary Computation (2006)
Binod Pant, Steven R. Skinner, James Edward Steck
Paint Thickness Measurement Using Acoustic Interference. IEEE Trans. Instrum. Meas. 55 (5) (2006)
Alvaro A. Cruz-Cabrara, Mingtao Yang, Guoqi Cui, Elizabeth C. Behrman, James Edward Steck, Steven R. Skinner
Reinforcement and backpropagation training for an optical neural network using self-lensing effects. IEEE Trans. Neural Networks Learn. Syst. 11 (6) (2000)
Elizabeth C. Behrman, L. R. Nash, James Edward Steck, V. G. Chandrashekar, Steven R. Skinner
Simulations of quantum neural networks. Inf. Sci. 128 (3-4) (2000)
Steven R. Skinner, James Edward Steck, Alvaro A. Cruz-Cabrara, Mingtao Yang, Elizabeth C. Behrman
Optical hardware backpropagation neural network. IJCNN (1999)
Elizabeth C. Behrman, James Edward Steck, Steven R. Skinner
A spatial quantum neural computer. IJCNN (1999)
James Edward Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman
A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks. NIPS (1994)
James Edward Steck, Bruce M. McMillin, K. Krishnamurthy, Gary G. Leininger
Parallel Implementation of a Recursive Least-Squares Neural Network Training Method on the Intel iPSC/2. J. Parallel Distributed Comput. 18 (1) (1993)
James Edward Steck, Bruce M. McMillin, K. Krishnamurthy, M. R. Ashouri, Gary G. Leininger
Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2. IJCNN (1990)