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https://doi.org/10.1088/1367-2630/aab2c5
Title: | Near optimal discrimination of binary coherent signals via atom-light interaction | Authors: | Han, R Bergou, J.A Leuchs, G |
Keywords: | Atoms Nondestructive examination Quantum communication Quantum entanglement Atom-light interactions Coherent state Helstrom bounds Non-destructive measurement State discrimination Coherent light |
Issue Date: | 2018 | Publisher: | Institute of Physics Publishing | Citation: | Han, R, Bergou, J.A, Leuchs, G (2018). Near optimal discrimination of binary coherent signals via atom-light interaction. New Journal of Physics 20 (4) : 43005. ScholarBank@NUS Repository. https://doi.org/10.1088/1367-2630/aab2c5 | Rights: | Attribution 4.0 International | Abstract: | We study the discrimination of weak coherent states of light with significant overlaps by nondestructive measurements on the light states through measuring atomic states that are entangled to the coherent states via dipole coupling. In this way, the problem of measuring and discriminating coherent light states is shifted to finding the appropriate atom-light interaction and atomic measurements. We show that this scheme allows us to attain a probability of error extremely close to the Helstrom bound, the ultimate quantum limit for discriminating binary quantum states, through the simple Jaynes-Cummings interaction between the field and ancilla with optimized light-atom coupling and projective measurements on the atomic states. Moreover, since the measurement is nondestructive on the light state, information that is not detected by one measurement can be extracted from the post-measurement light states through subsequent measurements. © 2018 The Author(s). Published by IOP Publishing Ltd on behalf of Deutsche Physikalische Gesellschaft. | Source Title: | New Journal of Physics | URI: | https://scholarbank.nus.edu.sg/handle/10635/179045 | ISSN: | 13672630 | DOI: | 10.1088/1367-2630/aab2c5 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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