Algorithmic Cooling in Liquid State NMR
| Autor: | Atia, Yosi, Elias, Yuval, Mor, Tal, Weinstein, Yossi |
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| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | Phys. Rev. A 93, 012325 (2016) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1103/PhysRevA.93.012325 |
| Popis: | Algorithmic cooling is a method that employs thermalization to increase qubit purification level, namely it reduces the qubit-system's entropy. We utilized gradient ascent pulse engineering (GRAPE), an optimal control algorithm, to implement algorithmic cooling in liquid state nuclear magnetic resonance. Various cooling algorithms were applied onto the three qubits of $^{13}$C$_2$-trichloroethylene, cooling the system beyond Shannon's entropy bound in several different ways. In particular, in one experiment a carbon qubit was cooled by a factor of 4.61. This work is a step towards potentially integrating tools of NMR quantum computing into in vivo magnetic resonance spectroscopy. Comment: 6 pages, 7 figures |
| Databáze: | arXiv |
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