Gaussian hypothesis testing and quantum illumination
Mark M. Wilde, Marco Tomamichel, Seth Lloyd, and Mario Berta

TL;DR
This paper derives a formula for the decay rate of the minimal Type-II error in quantum hypothesis testing of Gaussian states and demonstrates a quantum advantage in quantum illumination, especially under certain noise conditions.
Contribution
The paper introduces a new formula linking error decay rates to Gaussian state parameters and applies it to show quantum illumination outperforms classical methods under specific noise regimes.
Findings
Quantum illumination can achieve a higher error exponent than classical transmitters.
Quantum advantage is more accessible in high or low thermal noise environments.
The formula has potential applications in quantum communication and estimation tasks.
Abstract
Quantum hypothesis testing is one of the most basic tasks in quantum information theory and has fundamental links with quantum communication and estimation theory. In this paper, we establish a formula that characterizes the decay rate of the minimal Type-II error probability in a quantum hypothesis test of two Gaussian states given a fixed constraint on the Type-I error probability. This formula is a direct function of the mean vectors and covariance matrices of the quantum Gaussian states in question. We give an application to quantum illumination, which is the task of determining whether there is a low-reflectivity object embedded in a target region with a bright thermal-noise bath. For the asymmetric-error setting, we find that a quantum illumination transmitter can achieve an error probability exponent stronger than a coherent-state transmitter of the same mean photon number, and…
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