James Edward Steck

According to our database1, James Edward Steck authored at least 31 papers between 1990 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Links

On csauthors.net:

Bibliography

2021
Quantum circuit representation of Bayesian networks.
Expert Syst. Appl., 2021

2020
Benchmarking Neural Networks For Quantum Computations.
IEEE Trans. Neural Networks Learn. Syst., 2020

Quantum learning with noise and decoherence: a robust quantum neural network.
Quantum Mach. Intell., 2020

Experimental pairwise entanglement estimation for an N-qubit system.
Quantum Inf. Process., 2020

A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem.
CoRR, 2020

A non-algorithmic approach to "programming" quantum computers via machine learning.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

Experimental evaluation of quantum Bayesian networks on IBM QX hardware.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

Predictive Maintenance on Aircraft and Applications with Digital Twin.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2017
Learning quantum annealing.
Quantum Inf. Comput., 2017

Biologically motivated quantum neural networks.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Programming quantum annealing computers using machine learning.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2014
On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

Adaptive Flight-Control Design Using Neural-Network-Aided Optimal Nonlinear Dynamic Inversion.
J. Aerosp. Inf. Syst., 2014

Modified State Observer based adaptive control law design for the Black Kite MAV.
Proceedings of the American Control Conference, 2014

2013
Multiqubit entanglement of a general input state.
Quantum Inf. Comput., 2013

A quantum neural network computes its own relative phase.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

2012
Adaptive Critic Optimization of Dynamic Inverse Control.
Proceedings of the Infotech@Aerospace 2012, 2012

2011
Dynamic learning of pairwise and three-way entanglement.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Single Network Adaptive Critic aided nonlinear dynamic inversion for suboptimal command tracking.
Proceedings of the 2011 IEEE International Symposium on Intelligent Control, 2011

2008
Quantum Simulataneous Recurrent Networks for Content Addressable Memory.
Proceedings of the Quantum Inspired Intelligent Systems, 2008

Adaptive Feedback Control by Constrained Approximate Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Quantum algorithm design using dynamic learning.
Quantum Inf. Comput., 2008

2006
Paint Thickness Measurement Using Acoustic Interference.
IEEE Trans. Instrum. Meas., 2006

Towards the Dynamic Learning of an Experimental Entanglement Witness.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2000
Reinforcement and backpropagation training for an optical neural network using self-lensing effects.
IEEE Trans. Neural Networks Learn. Syst., 2000

Simulations of quantum neural networks.
Inf. Sci., 2000

1999
Optical hardware backpropagation neural network.
Proceedings of the International Joint Conference Neural Networks, 1999

A spatial quantum neural computer.
Proceedings of the International Joint Conference Neural Networks, 1999

1994
A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Parallel Implementation of a Recursive Least-Squares Neural Network Training Method on the Intel iPSC/2.
J. Parallel Distributed Comput., 1993

1990
Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2.
Proceedings of the IJCNN 1990, 1990


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