|
| related topics |
| {spin, pulse, spins} |
| {qubit, qubits, gate} |
| {trap, ion, state} |
| {algorithm, log, probability} |
| {information, entropy, channel} |
| {temperature, thermal, energy} |
| {time, systems, information} |
|
Paramagnetic Materials and Practical Algorithmic Cooling for NMR Quantum
Computing
Jose M. Fernandez, Tal Mor, Yossi Weinstein
abstract: Algorithmic Cooling is a method that uses novel data compression techniques
and simplecquantum computing devices to improve NMR spectroscopy, and to offer
scalable NMR quantum computers. The algorithm recursively employs two steps. A
reversible entropy compression of the computation quantum-bits (qubits) of the
system and an irreversible heat transfer from the system to the environment
through a set of reset qubits that reach thermal relaxation rapidly.
Is it possible to experimentally demonstrate algorithmic cooling using
existing technology? To allow experimental algorithmic cooling, the
thermalization time of the reset qubits must be much shorter than the
thermalization time of the computation qubits. However such
thermalization-times ratios have yet to be reported.
We investigate here the effect of a paramagnetic salt on the
thermalization-times ratio of computation qubits (carbons) and a reset qubit
(hydrogen). We show that the thermalization-times ratio is improved by
approximately three-fold. Based on this result, an experimental demonstration
of algorithmic cooling by thermalization and magnetic ions is currently
performed by our group and collaborators.
- oai_identifier:
- oai:arXiv.org:quant-ph/0511153
- categories:
- quant-ph
- comments:
- 5 pages, A conference version of this paper appeared in SPIE, volume
5105, pages 185-194 (2003)
- doi:
- 10.1117/12.485841
- arxiv_id:
- quant-ph/0511153
- journal_ref:
- International Journal of Quantum Information, Vol. 3, pp. 281-285
(2005)
- created:
- 2005-11-16
Full article ▸
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