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PARAMAGNETIC MATERIALS AND PRACTICAL ALGORITHMIC COOLING FOR NMR

Title: PARAMAGNETIC MATERIALS AND PRACTICAL ALGORITHMIC COOLING FOR NMR
Authors: Quantum Computing; José M. Fernandez; Départment De Génie Informatique; École Polytechnique; Tal Mor; Yossi Weinstein
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://www.cs.technion.ac.il/~talmo/CV/my-new-papers/FMW-PSalt-proofreading.pdf.
Publication Year: 2004
Collection: CiteSeerX
Subject Terms: Algorithmic cooling; spin cooling; thermalization times ratio; paramagnetic
Description: Algorithmic cooling is a method that uses novel data compression techniques and simple quantum 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 thermalizationtimes 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.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.7668
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.7668; http://www.cs.technion.ac.il/~talmo/CV/my-new-papers/FMW-PSalt-proofreading.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.84CDB4C
Database: BASE