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Approaching Heisenberg-scalable thermometry with built-in robustness against noise

Da-Jian Zhang, D. M. Tong

2022npj Quantum Information34 citationsDOIOpen Access PDF

Abstract

Abstract It is a major goal in quantum thermometry to reach a 1/ N scaling of thermometric precision known as Heisenberg scaling but is still in its infancy to date. The main obstacle is that the resources typically required are highly entangled states, which are very difficult to produce and extremely vulnerable to noises. Here, we propose an entanglement-free scheme of thermometry to approach Heisenberg scaling for a wide range of N , which has built-in robustness irrespective of the type of noise in question. Our scheme is amenable to a variety of experimental setups. Moreover, it can be used as a basic building block for promoting previous proposals of thermometry to reach Heisenberg scaling, and its applications are not limited to thermometry but can be straightforwardly extended to other metrological tasks.

Topics & Concepts

Quantum entanglementScalingRobustness (evolution)Computer scienceQuantum metrologyScalabilityQuantumObstacleNoise (video)Heisenberg limitAlgorithmStatistical physicsTheoretical computer scienceQuantum mechanicsPhysicsMathematicsArtificial intelligenceQuantum discordQuantum networkPolitical scienceLawChemistryBiochemistryDatabaseImage (mathematics)GeneGeometryQuantum Information and CryptographyAdvanced Thermodynamics and Statistical MechanicsQuantum Mechanics and Applications
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