Publication | Open Access
Efficient Quantum Measurement Engines
135
Citations
21
References
2018
Year
Quantum ScienceEngineeringQuantum ComputingPhysicsNatural SciencesQuantum FeedbackQuantum EnginesQuantum InformationQuantum AlgorithmQuantum MeasurementComputer ScienceQuantum ParticleQuantum EntanglementEngine ParametersQuantum SensingQuantum AlgorithmsMeasurement Problem
We propose quantum engines powered entirely by a position-resolving measurement performed on a quantum particle. These engines produce work by moving the quantum particle against a force. Unlike classical information-driven engines (e.g., Maxwell's demon), the energy is not extracted from a thermal hot source but directly from the observation process via a partial wave-function collapse of the particle. We present results for the work done and the efficiency for different values of the engine parameters. Feedback is required for optimal performance. We find that unit efficiency can be approached when one measurement outcome prepares the initial state of the next engine cycle, while the other outcomes leave the original state nearly unchanged.
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