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Probabilistic Transformations of Quantum Resources

Bartosz Regula

2022Physical Review Letters46 citationsDOIOpen Access PDF

Abstract

The difficulty in manipulating quantum resources deterministically often necessitates the use of probabilistic protocols, but the characterization of their capabilities and limitations has been lacking. We develop a general approach to this problem by introducing a new resource monotone that obeys a very strong type of monotonicity: it can rule out all transformations, probabilistic or deterministic, between states in any quantum resource theory. This allows us to place fundamental limitations on state transformations and restrict the advantages that probabilistic protocols can provide over deterministic ones, significantly strengthening previous findings and extending recent no-go theorems. We apply our results to obtain a substantial improvement in bounds for the errors and overheads of probabilistic distillation protocols, directly applicable to tasks such as entanglement or magic state distillation, and computable through convex optimization. In broad classes of resources, we strengthen our results to show that the monotone completely governs probabilistic transformations-it serves as a necessary and sufficient condition for state convertibility. This endows the monotone with a direct operational interpretation, as it can exactly quantify the highest fidelity achievable in resource distillation tasks by means of any probabilistic manipulation protocol.

Topics & Concepts

Probabilistic logicMonotone polygonComputer scienceQuantum entanglementQuantumTheoretical computer scienceResource (disambiguation)Quantum stateState (computer science)FidelityDistillationQuantum computerMonotonic functionMathematical optimizationRegular polygonStatistical modelResource allocationQubitStatistical physicsProbabilistic analysis of algorithmsQuantum systemTopology (electrical circuits)AlgorithmMathematicsQuantum information scienceQuantum Information and CryptographyQuantum Mechanics and ApplicationsQuantum Computing Algorithms and Architecture
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