Improved algorithmic cooling for scalable NMR quantum computers

Alexei Kaltchenko

doi:10.1117/12.666498

12 May 2006 Improved algorithmic cooling for scalable NMR quantum computers

Alexei Kaltchenko

Proceedings Volume 6244, Quantum Information and Computation IV; 624412 (2006) https://doi.org/10.1117/12.666498
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

The scaling of NMR ensemble computers is currently one of the main obstacles to building larger-scale quantum computing devices. To achieve scalability, one needs a large number of highly polarized spins in liquid nuclear-spin systems at finite temperature. In quantum computing terminology, such spin-half states are (almost) pure qubit states. Producing highly polarized spins (almost pure qubit states) out of non-polarized spins (non-pure qubit states) is sometimes called "purification". From a thermodynamic point of view, purification can be viewed as cooling spins to a very low temperature. In this preliminary work, we study the optimality of purification as a tradeoff between the number of cooled spins and the closeness of their quantum state to the ideal pure state.

Citation Download Citation

Alexei Kaltchenko "Improved algorithmic cooling for scalable NMR quantum computers", Proc. SPIE 6244, Quantum Information and Computation IV, 624412 (12 May 2006); https://doi.org/10.1117/12.666498

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