Elizabeth C. Behrman

Publication Activity (10 Years)

Years Active: 1994-2022
Publications (10 Years): 13

Top Topics

Ibm Zenterprise

Vehicle Routing Problem

Quantum Computation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth C. Behrman
Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
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)
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)
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)
Elizabeth C. Behrman, James Edward Steck
Dynamic learning of pairwise and three-way entanglement. NaBIC (2011)
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)
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)