English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Near optimal discrimination of binary coherent signals via atom–light interaction

MPS-Authors
/persons/resource/persons201079

Han,  Rui
Quantumness, Tomography, Entanglement, and Codes, Leuchs Division, Max Planck Institute for the Science of Light, Max Planck Society;

/persons/resource/persons201115

Leuchs,  Gerd
Leuchs Division, Max Planck Institute for the Science of Light, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Han_2018_New_J._Phys._20_043005.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
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), 043005. doi:10.1088/1367-2630/aab2c5.


Cite as: https://hdl.handle.net/21.11116/0000-0002-9885-C
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.