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Algorithmic cooling based on cross-relaxation and decoherence-free subspace
Science China Physics, Mechanics & Astronomy ( IF 4.226 ) Pub Date : 2020-03-26 , DOI: 10.1007/s11433-019-1492-4
HengYan Wang, Jian Pan, WenQiang Zheng, XinHua Peng

Heat-bath algorithmic cooling (HBAC) has been proven to be a powerful and effective method for obtaining high polarization of the target system. Its cooling upper bound has been recently found using a specific algorithm, the partner pairing algorithm (PPA-HBAC). It has been shown that by including cross-relaxation, it is possible to surpass the cooling bounds. Herein, by combining cross-relaxation and decoherence-free subspace, we present a two-qubit reset sequence and then generate a new algorithmic cooling (AC) technique using irreversible polarization compression to further surpass the bound. The proposed two-qubit reset sequence can prepare one of the two qubits to four times the polarization of a single-qubit reset operation in PPA-HBAC for low polarization. When the qubit number is large, the cooling limit of the proposed AC is approximately five times as high as the PPA-HBAC. The results reveal that cross-relaxation and decoherence-free subspace are promising resources to create new AC for higher polarization.
更新日期:2020-04-22

 

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