Quantum circuit representation of Bayesian networks - Sima Esfandiarpour Borujeni; Saideep Nannapaneni; Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Expert Syst. Appl., 2021)

Experimental pairwise entanglement estimation for an N-qubit system - Nathan L. Thompson; Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Quantum Inf. Process., 2020)

Quantum learning with noise and decoherence: a robust quantum neural network - Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Quantum Mach. Intell., 2020)

Benchmarking Neural Networks For Quantum Computations - Nam H. Nguyen; Elizabeth C. Behrman; Mohamed A. Moustafa; James Edward Steck (IEEE Trans. Neural Networks Learn. Syst., 2020)

Predictive Maintenance on Aircraft and Applications with Digital Twin - Sam Heim; Jason Clemens; James Edward Steck; Christopher Basic; David Timmons; Kourtney Zwiener (2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, 2020)

A non-algorithmic approach to "programming" quantum computers via machine learning - Nathan L. Thompson; James Edward Steck; Elizabeth C. Behrman (IEEE International Conference on Quantum Computing and Engineering, QCE 2020, Denver, CO, USA, October 12-16, 2020, 2020)

Experimental evaluation of quantum Bayesian networks on IBM QX hardware - Sima Esfandiarpour Borujeni; Nam H. Nguyen; Saideep Nannapaneni; Elizabeth C. Behrman; James Edward Steck (IEEE International Conference on Quantum Computing and Engineering, QCE 2020, Denver, CO, USA, October 12-16, 2020, 2020)

Quantum circuit representation of Bayesian networks - Sima Esfandiarpour Borujeni; Saideep Nannapaneni; Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (CoRR, 2020)

Experimental evaluation of quantum Bayesian networks on IBM QX hardware - Sima Esfandiarpour Borujeni; Nam H. Nguyen; Saideep Nannapaneni; Elizabeth C. Behrman; James Edward Steck (CoRR, 2020)

A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem - Ramkumar Harikrishnakumar; Saideep Nannapaneni; Nam H. Nguyen; James Edward Steck; Elizabeth C. Behrman (CoRR, 2020)

Learning quantum annealing - Elizabeth C. Behrman; James Edward Steck; Mohamed A. Moustafa (Quantum Inf. Comput., 2017)

Programming quantum annealing computers using machine learning - Elizabeth C. Behrman; James Edward Steck (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, 2017)

Biologically motivated quantum neural networks - James Edward Steck; Elizabeth C. Behrman (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, 2017)

Adaptive Flight-Control Design Using Neural-Network-Aided Optimal Nonlinear Dynamic Inversion - Geethalakshmi S. Lakshmikanth; Radhakant Padhi; John M. Watkins; James Edward Steck (J. Aerosp. Inf. Syst., 2014)

On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks - Elizabeth C. Behrman; Richard E. F. Bonde; James Edward Steck; Joanna F. Behrman (IEEE Trans. Neural Networks Learn. Syst., 2014)

Modified State Observer based adaptive control law design for the Black Kite MAV - Venkatasubramani S. R. Pappu; James Edward Steck; Viswanathan Shanmugham; Guruganesh Ramamurthi (American Control Conference, ACC 2014, Portland, OR, USA, June 4-6, 2014, 2014)

Multiqubit entanglement of a general input state - Elizabeth C. Behrman; James Edward Steck (Quantum Inf. Comput., 2013)

A quantum neural network computes its own relative phase - Elizabeth C. Behrman; James Edward Steck (2013 IEEE Symposium on Swarm Intelligence, SIS 2013, Singapore, April 16-19, 2013, 2013)

Adaptive Critic Optimization of Dynamic Inverse Control - James Edward Steck; Geethalakshmi S. Lakshmikanth; John M. Watkins (Infotech@Aerospace 2012, Garden Grove, California, USA, June 19-21, 2012, 2012)

Single Network Adaptive Critic aided nonlinear dynamic inversion for suboptimal command tracking - Geethalakshmi S. Lakshmikanth; Radhakant Padhi; John M. Watkins; James Edward Steck (2011 IEEE International Symposium on Intelligent Control, ISIC 2011, Denver, CO, USA, September 28-30, 2011, 2011)

Dynamic learning of pairwise and three-way entanglement - Elizabeth C. Behrman; James Edward Steck (Third World Congress on Nature & Biologically Inspired Computing, NaBIC 2011, Salamanca, Spain, October 19-21, 2011, 2011)

Quantum algorithm design using dynamic learning - Elizabeth C. Behrman; James Edward Steck; Prem Kumar; K. A. Walsh (Quantum Inf. Comput., 2008)

Adaptive Feedback Control by Constrained Approximate Dynamic Programming - Silvia Ferrari; James Edward Steck; Rajeev Chandramohan (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Quantum Simulataneous Recurrent Networks for Content Addressable Memory - Raheel Allauddin; Stuart Boehmer; Elizabeth C. Behrman; Kavitha Gaddam; James Edward Steck (Quantum Inspired Intelligent Systems, 2008)

Paint Thickness Measurement Using Acoustic Interference - Binod Pant; Steven R. Skinner; James Edward Steck (IEEE Trans. Instrum. Meas., 2006)

Towards the Dynamic Learning of an Experimental Entanglement Witness - Elizabeth C. Behrman; James Edward Steck; Preethika K. Gagnebin; Steven R. Skinner (IEEE International Conference on Evolutionary Computation, CEC 2006, part of WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, 2006)

Simulations of quantum neural networks - Elizabeth C. Behrman; L. R. Nash; James Edward Steck; V. G. Chandrashekar; Steven R. Skinner (Inf. Sci., 2000)

Reinforcement and backpropagation training for an optical neural network using self-lensing effects - Alvaro A. Cruz-Cabrara; Mingtao Yang; Guoqi Cui; Elizabeth C. Behrman; James Edward Steck; Steven R. Skinner (IEEE Trans. Neural Networks Learn. Syst., 2000)

A spatial quantum neural computer - Elizabeth C. Behrman; James Edward Steck; Steven R. Skinner (International Joint Conference Neural Networks, IJCNN 1999, Washington, DC, USA, July 10-16, 1999, 1999)

Optical hardware backpropagation neural network - Steven R. Skinner; James Edward Steck; Alvaro A. Cruz-Cabrara; Mingtao Yang; Elizabeth C. Behrman (International Joint Conference Neural Networks, IJCNN 1999, Washington, DC, USA, July 10-16, 1999, 1999)

A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks - James Edward Steck; Steven R. Skinner; Alvaro A. Cruz-Cabrara; Elizabeth C. Behrman (Advances in Neural Information Processing Systems 7, [NIPS Conference, Denver, Colorado, USA, 1994], 1994)

Parallel Implementation of a Recursive Least-Squares Neural Network Training Method on the Intel iPSC/2 - James Edward Steck; Bruce M. McMillin; K. Krishnamurthy; Gary G. Leininger (J. Parallel Distributed Comput., 1993)

Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2 - James Edward Steck; Bruce M. McMillin; K. Krishnamurthy; M. R. Ashouri; Gary G. Leininger (IJCNN 1990, International Joint Conference on Neural Networks, San Diego, CA, USA, June 17-21, 1990, 1990)