Quantum Illumination Advantage for Classification Among an Arbitrary Library of Targets
Ali Cox, Quntao Zhuang, Jeffrey H. Shapiro, Saikat Guha

TL;DR
This paper demonstrates that quantum illumination provides a fourfold improvement over classical methods in discriminating among multiple targets in high-loss, high-noise environments, extending previous results to arbitrary target libraries.
Contribution
It proves that quantum illumination offers a significant advantage in target discrimination among multiple known targets, generalizing prior results beyond simple detection.
Findings
Quantum illumination achieves a fourfold increase in error discrimination exponent.
The advantage holds for arbitrary target libraries, not just presence/absence detection.
Derived analytic expressions for quantum and classical Chernoff exponents.
Abstract
Quantum illumination (QI) is the task of querying a scene using a transmitter probe whose quantum state is entangled with a reference beam retained in ideal storage, followed by optimally detecting the target-returned light together with the stored reference, to make decisions on characteristics of targets at stand-off range, at precision that exceeds what is achievable with a classical transmitter of the same brightness and otherwise identical conditions. Using tools from perturbation theory, we show that in the limit of low transmitter brightness, high loss, and high thermal background, there is a factor of four improvement in the Chernoff exponent of the error probability in discriminating any number of apriori-known reflective targets when using a Gaussian-state entangled QI probe, over using classical coherent-state illumination (CI). While this advantage was known for detecting…
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