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arXiv:1110.5058 · Physical Review Letters

Continuous Quantum Hypothesis Testing

Mankei Tsang

Published Apr 26, 2012• 40 citations
arXivHTMLPDF

Abstract

I propose a general quantum hypothesis testing theory that enables one to test hypotheses about any aspect of a physical system, including its dynamics, based on a series of observations. For example, the hypotheses can be about the presence of a weak classical signal continuously coupled to a quantum sensor, or about competing quantum or classical models of the dynamics of a system. This generalization makes the theory useful for quantum detection and experimental tests of quantum mechanics in general. In the case of continuous measurements, the theory is significantly simplified to produce compact formulas for the likelihood ratio, the central quantity in statistical hypothesis testing. The likelihood ratio can then be computed efficiently in many cases of interest. Two potential applications of the theory, namely, quantum detection of a classical stochastic waveform and test of harmonic-oscillator energy quantization, are discussed.

DOI
10.1103/physrevlett.108.170502

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I propose a general quantum hypothesis testing theory that enables one to test hypotheses about any aspect of a physical system, including its dynamics, based on a series of observations. For example, the hypotheses can be about the presence of a weak classical signal continuously coupled to a quantum sensor, or about competing quantum or classical models of the dynamics of a system. This generalization makes the theory useful for quantum detection and experimental tests of quantum mechanics in general. In the case of continuous measurements, the theory is significantly simplified to produce compact formulas for the likelihood ratio, the central quantity in statistical hypothesis testing. The likelihood ratio can then be computed efficiently in many cases of interest. Two potential applications of the theory, namely, quantum detection of a classical stochastic waveform and test of harmonic-oscillator energy quantization, are discussed.
Although there are many ideas for the formulations of statistical hypothesis testing, we consider that the likelihood ratio test is the most reasonable and orthodox. However, it is not handy, and thus, it is not usual in elementary books. That is, the statistical hypothesis testing written in elementary books is different from the likelihood ratio test. Thus, from the theoretical point of view, we have the following question: "What is the statistical hypothesis testing written in elementary books?" For example, we consider that even the difference between "one sided test" and "two sided test" is not clear yet. In this paper, we give an answer to this question. That is, we propose a new formulation of statistical hypothesis testing, which is contrary to the confidence interval methods. In other words, they are two sides of the same coin. This will be done in quantum language (or, measurement theory), which is characterized as the linguistic turn of the Copenhagen interpretation of quantum mechanics, and also, a kind of system theory such that it is applicable to both classical and quantum systems. Since quantum language is suited for theoretical arguments, we believe that our results are essentially final as a general theory.
In this thesis we investigate the theory of quantum hypothesis testing and its potential applications for the new area of quantum technologies. We first consider the asymmetric formulation of quantum hypothesis testing where the aim is to minimize the probability of false negatives and the main tool is provided by the quantum Hoeffding bound. In this context we provide a general recipe for computing this bound in the most important scenario for continuous variable quantum information, that of Gaussian states. We then study both asymmetric and symmetric quantum hypothesis testing in the context of quantum channel discrimination. Here we show how the use of quantum-correlated light can enhance the detection of small variations of transmissivity in a sample of photodegrabable material, while a classical source of light either cannot retrieve information or would destroy the sample. This non-invasive quantum technique might be useful to realize in-vivo and real-time probing of very fragile biological samples, such as DNA or RNA. We also show that the same principle can be exploited to build next-generation memories for the confidential storage of confidential data, where information can be read only by well-tailored sources of entangled light.
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The information-spectrum analysis made by Han for classical hypothesis testing for simple hypotheses is extended to a unifying framework including both classical and quantum hypothesis testing. The results are also applied to fixed-length source coding when loosening the normalizing condition for probability distributions and for quantum states. We establish general formulas for several quantities relating to the asymptotic optimality of tests/codes in terms of classical and quantum information spectra
Abstract As experiments continue to push the quantum-classical boundary using increasingly complex dynamical systems, the interpretation of experimental data becomes more and more challenging: when the observations are noisy, indirect, and limited, how can we be sure that we are observing quantum behavior? This tutorial highlights some of the difficulties in such experimental tests of quantum mechanics, using optomechanics as the central example, and discusses how the issues can be resolved using techniques from statistics and insights from quantum information theory.
Much of the research in quantum hypothesis testing has focused on simple hypotheses. In practical situations, though, we need to consider more complex, or composite, hypotheses. This paper introduces an approach for testing these composite hypotheses in quantum systems. It combines repeating projective measurements with the quantum Neyman-Pearson test including quantum correlations, which improves the effectiveness of the tests. We also clarify theoretically how the type-II error (false negative) probability of the proposed test behaves asymptotically and show that the proposed test is better at distinguishing hypotheses than traditional approaches. In addition, through numerical calculation, we demonstrate that the proposed test enhances performance in quantum statistical models, where we usually use the classical binomial test. This result shows the practical benefits of applying quantum correlations in hypothesis testing scenarios.