Browsing PHY Research Publications (from 2011) by Author "Steck, James E."
Now showing items 17 of 7

Biologically motivated quantum neural networks
Steck, James E.; Behrman, Elizabeth C. (IEEE, 2017)This paper presents one step toward creating the building blocks for machine intelligence that is inspired by its biological equivalent. The authors' quantum learning methods (deep quantum learning) are applied to quantum ... 
Chapter 1  Quantum neural computation of entanglement is robust to noise and decoherence
Behrman, Elizabeth C.; Nguyen, Nam H.; Steck, James E.; McCann, M. (Elsevier, 2017)Measurement and witnesses of entanglement remain an important issue in quantum computing. Most witnesses will work for only a very restricted class of states, while measurements commonly require lengthy procedures. Quantum ... 
Experimental pairwise entanglement estimation for an Nqubit system: a machine learning approach for programming quantum hardware
Thompson, Nathan L.; Nguyen, Nam H.; Behrman, Elizabeth C.; Steck, James E. (Springer, 20201103)Designing and implementing algorithms for medium and largescale quantum computers is not easy. In the previous work, we have suggested, and developed, the idea of using machine learning techniques to train a quantum ... 
Multiqubit entanglement of a general input state
Behrman, Elizabeth C.; Steck, James E. (Rinton Press, Inc., 201301)Measurement of entanglement remains an important problem for quantum information. We present the design and simulation of an experimental method for an entanglement indicator for a general multiqubit state. The system can ... 
On the correction of anomalous phase oscillation in entanglement witnesses using quantum neural networks
Behrman, Elizabeth C.; Bonde, Richard E. F.; Steck, James E.; Behrman, Joanna F. (IEEE, 20131001)Entanglement of a quantum system depends upon the relative phase in complicated ways, which no single measurement can reflect. Because of this, "entanglement witnesses'' (measures that estimate entanglement) are necessarily ... 
A quantum neural network computes its own relative phase
Behrman, Elizabeth C.; Steck, James E. (IEEE, 20130417)Complete characterization of the state of a quantum system made up of subsystems requires determination of relative phase, because of interference effects between the subsystems. For a system of qubits used as a quantum ... 
Reinforcement and backpropagation training for an optical neural network using selflensing effects
CruzCabrera, A.A.; Yang, Mingtao; Cui, Guogi; Behrman, Elizabeth C.; Steck, James E.; Skinner, Steven R. (IEEE, 200011)The optical bench training of an optical feedforward neural network, developed by the authors, is presented. The network uses an optical nonlinear material for neuron processing and a trainable applied optical pattern as ...