Hyperfine spin qubits in irradiated malonic acid: heat-bath algorithmic cooling

Hyperfine spin qubits in irradiated malonic acid: heat-bath algorithmic cooling The ability to perform quantum error correction is a significant hurdle for scalable quantum information processing. A key requirement for multiple-round quantum error correction is the ability to dynamically extract entropy from ancilla qubits. Heat-bath algorithmic cooling is a method that uses quantum logic operations to move entropy from one subsystem to another and permits cooling of a spin qubit below the closed system (Shannon) bound. Gamma-irradiated, $$^{13}$$ 13 C-labeled malonic acid provides up to five spin qubits: one spin-half electron and four spin-half nuclei. The nuclei are strongly hyperfine-coupled to the electron and can be controlled either by exploiting the anisotropic part of the hyperfine interaction or by using pulsed electron nuclear double resonance techniques. The electron connects the nuclei to a heat-bath with a much colder effective temperature determined by the electron’s thermal spin polarization. By accurately determining the full spin Hamiltonian and performing realistic algorithmic simulations, we show that an experimental demonstration of heat-bath algorithmic cooling beyond the Shannon bound is feasible in both three-qubit and five-qubit variants of this spin system. Similar techniques could be useful for polarizing nuclei in molecular or crystalline systems that allow for non-equilibrium optical polarization of the electron spin. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quantum Information Processing Springer Journals
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Publisher
Springer US
Copyright
Copyright © 2015 by Springer Science+Business Media New York
Subject
Physics; Quantum Information Technology, Spintronics; Quantum Computing; Data Structures, Cryptology and Information Theory; Quantum Physics; Mathematical Physics
ISSN
1570-0755
eISSN
1573-1332
D.O.I.
10.1007/s11128-015-0985-1
Publisher site
See Article on Publisher Site

Abstract

The ability to perform quantum error correction is a significant hurdle for scalable quantum information processing. A key requirement for multiple-round quantum error correction is the ability to dynamically extract entropy from ancilla qubits. Heat-bath algorithmic cooling is a method that uses quantum logic operations to move entropy from one subsystem to another and permits cooling of a spin qubit below the closed system (Shannon) bound. Gamma-irradiated, $$^{13}$$ 13 C-labeled malonic acid provides up to five spin qubits: one spin-half electron and four spin-half nuclei. The nuclei are strongly hyperfine-coupled to the electron and can be controlled either by exploiting the anisotropic part of the hyperfine interaction or by using pulsed electron nuclear double resonance techniques. The electron connects the nuclei to a heat-bath with a much colder effective temperature determined by the electron’s thermal spin polarization. By accurately determining the full spin Hamiltonian and performing realistic algorithmic simulations, we show that an experimental demonstration of heat-bath algorithmic cooling beyond the Shannon bound is feasible in both three-qubit and five-qubit variants of this spin system. Similar techniques could be useful for polarizing nuclei in molecular or crystalline systems that allow for non-equilibrium optical polarization of the electron spin.

Journal

Quantum Information ProcessingSpringer Journals

Published: Apr 21, 2015

References

  • State preservation by repetitive error detection in a superconducting quantum circuit
    Kelly, J; Barends, R; Fowler, AG; Megrant, A; Jeffrey, E; White, TC; Sank, D; Mutus, JY; Campbell, B; Chen, Y; Chen, Z; Chiaro, B; Dunsworth, A; Hoi, IC; Neill, C; Omalley, PJJ; Quintana, C; Roushan, P; Vainsencher, A; Wenner, J; Cleland, AN; Martinis, JM

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