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Novel technique for robust optimal algorithmic cooling

Raeisi, S ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1103/PhysRevLett.122.220501
  3. Publisher: American Physical Society , 2019
  4. Abstract:
  5. 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. © 2019 American Physical Society
  6. Keywords:
  7. Cooling ; Optimization ; Quantum theory ; Asymptotic state ; Complex iterative process ; Fixed operation ; Heat-bath algorithmic cooling ; Novel techniques ; Quantum state ; Quantum technologies ; Realistic applications ; Iterative methods ; Article ; Feasibility study ; Heat
  8. Source: Physical Review Letters ; Volume 122, Issue 22 , 2019 ; 00319007 (ISSN)
  9. URL: https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.122.220501