Quantum Illumination
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Quantum illumination is a paradigm for target detection that employs quantum entanglement between a signal electromagnetic mode and an idler electromagnetic mode, as well as joint measurement of these modes. The signal mode is propagated toward a region of space, and it is either lost or reflected, depending on whether a target is absent or present, respectively. In principle, quantum illumination can be beneficial even if the original entanglement is completely destroyed by a lossy and noisy environment.


Introduction

Many
quantum information Quantum information is the information of the state of a quantum system. It is the basic entity of study in quantum information theory, and can be manipulated using quantum information processing techniques. Quantum information refers to both th ...
applications, such as quantum teleportation,
quantum error correction Quantum error correction (QEC) is used in quantum computing to protect quantum information from errors due to decoherence and other quantum noise. Quantum error correction is theorised as essential to achieve fault tolerant quantum computing that ...
, and superdense coding, rely on entanglement. However, entanglement is a fragile quantum property between particles and can be easily destroyed by loss and noise arising from interaction with the environment, leading to
quantum decoherence Quantum decoherence is the loss of quantum coherence. In quantum mechanics, particles such as electrons are described by a wave function, a mathematical representation of the quantum state of a system; a probabilistic interpretation of the wave ...
. Entanglement is therefore considered very hard to use in lossy and noisy environment. Lloyd, Shapiro and collaborators showed that even though entanglement itself may not survive, the residual correlation between the two initially entangled systems remains much higher than any initial classical states can provide. This implies that the use of entanglement should not be dismissed in entanglement-breaking scenarios. Quantum illumination takes advantage of this stronger-than-classical residual correlations between two systems to achieve a performance enhancement over all schemes based on transmitting classical states with comparable power levels. Quantum illumination is particularly useful in extremely lossy and noisy situations.


History


Theory

The concept of quantum illumination was first introduced by Seth Lloyd and collaborators at MIT in 2008. A theoretical proposal for quantum illumination using Gaussian states was proposed by Jeffrey Shapiro and collaborators. The basic setup of quantum illumination is target detection. Here the sender prepares two entangled systems, called signal and idler. The idler is retained while the signal is sent to probe the presence of a low-reflectivity object in a region with bright background noise. The reflection from the object is then combined with the retained idler system in a joint quantum measurement providing two possible outcomes: object present or object absent. More precisely, the probing process is repeated many times so that many pairs of signal-idler systems are collected at the receiver for the joint quantum detection. The advantage of the scheme is evident at low energies where the mean number of photons in each signal system is very low (of the order of one photon or less). In this case, at fixed low energy, the probability of success in detecting a target has a remarkable improvement with respect to classical detection schemes, where entanglement is not used and signal systems are prepared in coherent states (technically, there is a 6 dB improvement in the error exponent ). A key feature of quantum illumination is that the entanglement between the idler system and the reflected signal system is completely lost in the process. However, the residual quantum correlations between these two systems (idler-reflected signal) remain so strong that they could only be created by the presence of entanglement in the initial systems (idler-signal). Because the reflected signal is quantum-correlated with the retained idler system, it can be distinguished among all the uncorrelated background thermal photons that are also received by the detector. Because of this quantum labeling of the systems, the detection of quantum illumination is very efficient. In 2015, an international collaboration coordinated by Stefano Pirandola extended the protocol of quantum illumination to the microwave frequencies, thus providing the first theoretical prototype of
quantum radar Quantum radar is a speculative Remote sensing, remote-sensing technology based on quantum-mechanical effects, such as the uncertainty principle or quantum entanglement. Broadly speaking, a quantum radar can be seen as a device working in the microwa ...
. The original proposal from was analyzed in the Bayesian setting of hypothesis testing, in which prior probabilities are assigned to the hypotheses that the target is absent or present. In 2017, a research paper analyzed quantum illumination in the Neyman-Pearson or asymmetric setting of hypothesis testing, which is a setting of interest in
quantum radar Quantum radar is a speculative Remote sensing, remote-sensing technology based on quantum-mechanical effects, such as the uncertainty principle or quantum entanglement. Broadly speaking, a quantum radar can be seen as a device working in the microwa ...
applications. It was found that the performance gains of quantum illumination are even greater than those from. In 2017, an optimum receiver design was proposed by Quntao Zhuang, Zheshen Zhang, and Jeffrey Shapiro. Quantum illumination has also been extended to the scenario of target fading. In 2020, the ultimate limits for quantum illumination, allowing for an arbitrary number of optical modes entangled with a quantum memory were derived by Ranjith Nair and Mile Gu for all levels of background noise. The results also showed that the 6 dB improvement cannot be surpassed - and is only achievable for very large background noise.


Related work on secure communication

In 2009, a secure communication scheme based on quantum illumination was proposed. This scheme is a variant of the quantum cryptographic protocols based on continuous variables and two-way quantum communication introduced by Stefano Pirandola, Seth Lloyd and collaborators in 2008.


Experiment

In 2013, Lopaeva ''et al.'' exploited photon number correlations, instead of entanglement, in a sub-optimal target detection experiment. To illustrate the benefit of quantum entanglement, in 2013 Zhang ''et al.'' reported a secure communication experiment based on quantum illumination and demonstrated for the first time that entanglement can enable a substantial performance advantage in the presence of
quantum decoherence Quantum decoherence is the loss of quantum coherence. In quantum mechanics, particles such as electrons are described by a wave function, a mathematical representation of the quantum state of a system; a probabilistic interpretation of the wave ...
. In 2015, Zhang ''et al.'' applied quantum illumination in sensing and showed that employing entanglement can yield a higher
signal-to-noise ratio Signal-to-noise ratio (SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise. SNR is defined as the ratio of signal power to the noise power, often expressed in deci ...
than the optimal classical scheme can provide, even though the highly lossy and noisy environment completely destroys the initial entanglement. This sensing experiment thus proved the original theoretical proposals of quantum illumination. The first experimental effort to perform microwave quantum illumination was based on using Josephson parametric amplifier and a digital receiver. As applied to imaging, in 2019 England ''et al.'' demonstrated this principle by imaging through noise in a scanning configuration. The first full-field imaging system based on quantum illumination that uses spatially-entangled photon pairs for imaging in the presence of noise and losses was reported in a two successive publications in 2019 and 2020 by two research groups from the University of Glasgow.


Applications

Potential applications of quantum illumination include target detection in high background noise environments, but also ultra-sensitive biological imaging and sensing, and secure communication.


Media reporting

Several news articles on quantum illumination have appeared in popular science media, with the goal of elucidating the concept of quantum illumination in less technical terms.


References

{{quantum computing Quantum information science