Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Behrman E"'
Designing and implementing algorithms for medium and large scale quantum computers is not easy. In previous work we have suggested, and developed, the idea of using machine learning techniques to train a quantum system such that the desired process i
Externí odkaz:
http://arxiv.org/abs/1902.07754
Publikováno v:
IEEE TNNLS vol 31 pp 2522-2531 (2020)
The power of quantum computers is still somewhat speculative. While they are certainly faster than classical ones at some tasks, the class of problems they can efficiently solve has not been mapped definitively onto known classical complexity theory.
Externí odkaz:
http://arxiv.org/abs/1807.03253
Publikováno v:
Quantum information and computation 17, 0469-0487 (2017)
We propose and develop a new procedure, whereby a quantum system can learn to anneal to a desired ground state. We demonstrate successful learning to produce an entangled state for a two-qubit system, then demonstrate generalizability to larger syste
Externí odkaz:
http://arxiv.org/abs/1603.01752
Publikováno v:
Quantum Inspired Computational Intelligence: Research and Applications, S. Bhattacharyya, ed. (Morgan Kaufmann, Elsevier, 2016) rks and Learning Systems 25, 1696-1703 (2014)
In previous work, we have proposed an entanglement indicator for a general multiqubit state, which can be "learned" by a quantum system, acting as a neural network. The indicator can be used for a pure or a mixed state, and it need not be "close" to
Externí odkaz:
http://arxiv.org/abs/1510.09173
Publikováno v:
IEEE-Transactions on Neural Networks and Learning Systems 25, 1696-1703 (2014)
Entanglement of a quantum system depends upon relative phase in complicated ways, which no single measurement can reflect. Because of this, entanglement witnesses are necessarily limited in applicability and/or utility. We propose here a solution to
Externí odkaz:
http://arxiv.org/abs/1301.6107
Autor:
Behrman, E. C., Steck, J. E.
Publikováno v:
IEEE Symposium Series on Computational Intelligence 2013, Singapore, April 15-19, 2013. (Institute of Electrical and Electronics Engineers)
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 computer this is especially vi
Externí odkaz:
http://arxiv.org/abs/1301.2808
Autor:
Behrman, E. C., Steck, J. E.
Publikováno v:
Quantum Information and Computation 13, 36-53 (2013)
Measurement of entanglement remains an important problem for quantum information. We present the design and simulation of an experimental method for entanglement estimation for a general multiqubit state. The system can be in a pure or a mixed state,
Externí odkaz:
http://arxiv.org/abs/1108.1955
Publikováno v:
Physical Review A 75, 022310 (2007)
We present a general scheme for implementing bi-directional quantum state transfer in a quantum swapping channel. Unlike many other schemes for quantum computation and communication, our method does not require qubit couplings to be switched on and o
Externí odkaz:
http://arxiv.org/abs/0808.2306
Publikováno v:
Quantum Information and Computation, vol. 8, No. 1&2, pp. 12-29 (2008)
We present a dynamic learning paradigm for "programming" a general quantum computer. A learning algorithm is used to find the control parameters for a coupled qubit system, such that the system at an initial time evolves to a state in which a given m
Externí odkaz:
http://arxiv.org/abs/0808.1558
Autor:
Behrman, E. J.
Publikováno v:
Water Environment Research, 2018 May 01. 90(5), 479-479.
Externí odkaz:
https://www.jstor.org/stable/26662209