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The European Physical Journal Plus

, 129:266

Focus Point on Quantum information and complexity

Abstract

Algorithmic cooling AC is a method to purify quantum systems, such as ensembles of nuclear spins, or cold atoms in an optical lattice. When applied to spins, AC produces ensembles of highly polarized spins, which enhance the signal strength in nuclear magnetic resonance NMR. According to this cooling approach, spin-half nuclei in a constant magnetic field are considered as bits, or more precisely quantum bits, in a known probability distribution. Algorithmic steps on these bits are then translated into specially designed NMR pulse sequences using common NMR quantum computation tools. The algorithmic cooling of spins is achieved by alternately combining reversible, entropy-preserving manipulations borrowed from data compression algorithms with selective reset, the transfer of entropy from selected spins to the environment. In theory, applying algorithmic cooling to sufficiently large spin systems may produce polarizations far beyond the limits due to conservation of Shannon entropy. Here, only selective reset steps are performed, hence we prefer to call this process -heat-bath- cooling, rather than algorithmic cooling. We experimentally implemented two consecutive steps of selective reset, thus transferring entropy from two selected spins to the environment. We performed such cooling experiments, with commercially available labeled molecules, on standard liquid-state NMR spectrometers. We report in particular on our original experiment, unpublished until now except on the arXiv quant-ph-0511156 in 2005, which was, to the best of our knowledge, the world’s first experiment that yielded polarizations results that bypassed Shannon’s entropy-conservation bound, so that the entire spin-system was cooled.

This article is published with open access at Springerlink.com

Contribution to the Focus Point on -Quantum information and complexity- edited by S. Mancini, G. Marmo, S. Pascazio.

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Author: G. Brassard - Y. Elias - J. M. Fernandez - H. Gilboa - J. A. Jones - T. Mor - Y. Weinstein - L. Xiao

Source: https://link.springer.com/







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