Novel technique for robust optimal algorithmic cooling

Sadegh Raeisi, Mária Kieferová, Michele Mosca

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)


    Heat-bath algorithmic cooling provides algorithmic ways to improve the purity of quantum states. These techniques are complex iterative processes that change from each iteration to the next and this poses a significant challenge to implementing these algorithms. Here, we introduce a new technique that on a fundamental level, shows that it is possible to do algorithmic cooling and even reach the cooling limit without any knowledge of the state and using only a single fixed operation, and on a practical level, presents a more feasible and robust alternative for implementing heat-bath algorithmic cooling. We also show that our new technique converges to the asymptotic state of heat-bath algorithmic cooling and that the cooling algorithm can be efficiently implemented; however, the saturation could require exponentially many iterations and remains impractical. This brings heat-bath algorithmic cooling to the realm of feasibility and makes it a viable option for realistic application in quantum technologies.

    Original languageEnglish
    Article number220501
    Pages (from-to)1-5
    Number of pages5
    JournalPhysical Review Letters
    Issue number22
    Publication statusPublished - 7 Jun 2019


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