Abstract
Application of multiple rounds of Quantum Error Correction (QEC) is an essential milestone towards the construction of scalable quantum information processing devices. The requirements for multiple rounds QEC are high control fidelity and the ability to extract entropy from ancilla qubits. Nuclear Magnetic Resonance (NMR) based quantum devices have demonstrated high control fidelity with up to 12 qubits. On the other hand, the major challenge in the NMR QEC experiment is to efficiently supply ancilla qubits in highly pure states at the beginning of each round of QEC. Purification of spin qubits can be accomplished through Heat Bath Algorithmic Cooling (HBAC). It is an efficient method for extracting entropy from qubits that interact with a heat bath, allowing cooling below the bath temperature. For practical HBAC, hyperfine coupled electron-nuclear spin systems are more promising than conventional NMR quantum processors, since electron spin polarization is about 103 times greater than that of a proton under the same experimental conditions. We provide an overview on both theoretical and experimental aspects of HBAC focusing on spin and magnetic resonance based systems, and discuss the prospects of exploiting electron-nuclear hyperfine coupled systems for the realization of HBAC and multiple-round QEC.
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Acknowledgements
This work is supported by CIFAR, Industry Canada, and NSERC. We thank Dr. Tal Mor and Dr. Yossi Weinstein for helpful discussions, and Dr. Rolf Horn for proofreading the manuscript. NRB acknowledges CONACYT-COZCyT and SEP for support.
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Park, D.K., Rodriguez-Briones, N.A., Feng, G., Rahimi, R., Baugh, J., Laflamme, R. (2016). Heat Bath Algorithmic Cooling with Spins: Review and Prospects. In: Takui, T., Berliner, L., Hanson, G. (eds) Electron Spin Resonance (ESR) Based Quantum Computing. Biological Magnetic Resonance, vol 31. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-3658-8_8
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