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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
Undoing a weak quantum measurement of a solid-state qubit.
Alexander N Korotkov1, Andrew N Jordan
1Department of Electrical Engineering, University of California, Riverside, CA 92521-0204, USA.
Researchers demonstrate undoing weak quantum measurements on solid-state qubits, fully restoring unknown initial states. This quantum measurement undoing has a finite success probability, decreasing with measurement strength.
Area of Science:
- Quantum Information Science
- Solid-State Quantum Computing
Background:
- Continuous quantum measurement is crucial for monitoring qubit states.
- Traditional measurements are irreversible, collapsing quantum states.
- Understanding measurement back-action is key for quantum technologies.
Purpose of the Study:
- To propose and detail an experiment for undoing weak continuous quantum measurements.
- To demonstrate the restoration of an unknown initial qubit state after measurement.
- To explore the relationship between measurement strength and the success probability of undoing.
Main Methods:
- Proposing a theoretical framework for measurement undoing.
- Utilizing a secondary measurement (quantum eraser) to reverse the effect of the initial measurement.
- Analyzing the nonunitary nature of quantum measurement and its impact on undoing probability.
- Considering experimental implementations with quantum dot (charge) and superconducting (phase) qubits.
Main Results:
- The proposed experiment can fully restore an unknown initial qubit state.
- The undoing procedure has a finite probability of success, dependent on measurement strength.
- Success probability approaches zero for strong, projective measurements.
- An experimental indication of success or failure is inherent to the procedure.
Conclusions:
- Weak continuous quantum measurement can be undone, restoring the initial qubit state.
- Measurement undoing offers a form of quantum state control and information management.
- This technique has potential applications in quantum computing and quantum information processing.
- The experiment is feasible with current solid-state qubit technologies.
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