Characterization of quantum computable decision problems by state discrimination
Karl Svozil
备注:
9 pages
发表信息:
AIP Conference Proceedings 810. Quantum Theory. Reconsideration of Foundations--3, ed. by Guillaume Adenier, Andrei Yu. Khrennikov and Theo M. Nieuwenhuizen (American Institute of Physics, Melville, NY, 2006), pp. 271-279
One advantage of quantum algorithms over classical computation is the possibility to spread out, process, analyse and extract information in multipartite configurations in coherent superpositions of classical states. This will be discussed in terms of quantum state identification problems based on a proper partitioning of mutually orthogonal sets of states. The question arises whether or not it is possible to encode equibalanced decision problems into quantum systems, so that a single invocation of a filter used for state discrimination suffices to obtain the result.
Efficiently Computable Strategies and Limits for Bosonic Channel Discrimination
School of Science, STEM College, RMIT University(斯威本科技大学理学院STEM学院);Scuola Normale Superiore(比萨高等师范学院);Korteweg–de Vries Institute for Mathematics, University of Amsterdam(阿姆斯特丹大学科特韦格-德弗里斯数学研究所);Mathematical Quantum Information RIKEN Hakubi Research Team, RIKEN Pioneering Research Institute (PRI) and RIKEN Center for Quantum Computing (RQC)(理科院系量子信息RIKEN Hakubi研究团队,理化学研究所前沿研究院(PRI)和理化学研究所量子计算中心(RQC));School of Electrical and Computer Engineering, Cornell University(康奈尔大学电气与计算机工程学院)
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The problem of quantum state discrimination between two wave functions of a particle in a square well potential is considered. The optimal minimum-error probability is known to be given by the Helstrom bound. A new strategy is introduced by inserting an impenetrable barrier in the middle of the square well, which is either a nodal or non-nodal point of the wave function. The energy required to insert the barrier is dependent on the initial state. This enables the experimenter to gain additional information beyond the standard probing of the state envisaged by Helstrom and to improve the distin…
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A fundamental problem in Quantum Information Processing is the discrimination amongst a set of quantum states of a system. In this paper, we address this problem on an open quantum system described by a graph, whose evolution is defined by a Quantum Stochastic Walk. In particular, the structure of the graph mimics those of neural networks, with the quantum states to discriminate encoded on input nodes and with the discrimination obtained on the output nodes. We optimize the parameters of the network to obtain the highest probability of correct discrimination. Numerical simulations show that af…
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We examine how to distinguish between unitary operators, when the exact form of the possible operators is not known. Instead we are supplied with "programs" in the form of unitary transforms, which can be used as references for identifying the unknown unitary transform. All unitary transforms should be used as few times as possible. This situation is analoguous to programmable state discrimination. One difference, however, is that the quantum state to which we apply the unitary transforms may be entangled, leading to a richer variety of possible strategies. By suitable selection of an input st…
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The problem of quantum state discrimination between two wave functions on a ring is considered. The optimal minimum-error probability is known to be given by the Helstrom bound. A new strategy is introduced by inserting either adiabatically or instantaneously an impenetrable barrier. The insertion point, independent of the shape of the initial wave function, becomes a node. The resulting modified wave functions can be, if the initial functions are judiciously chosen, distinguished with a smaller error probability, and as a consequence the Helstrom bound can be violated under idealised conditio…
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Robust multi-hypothesis quantum-state discrimination under unknown common unitary perturbations via least favorable priors
Graduate School of Engineering Science, The University of Osaka(大阪大学工程科学研究科);Center for Education in Liberal Arts and Sciences, The University of Osaka(大阪大学通识教育中心);Center for Quantum Information and Quantum Biology, The University of Osaka(大阪大学量子信息与量子生物学中心)
Postselection is the process of discarding outcomes from statistical trials that are not the event one desires. Postselection can be useful in many applications where the cost of getting the wrong event is implicitly high. However, unless this cost is specified exactly, one might conclude that discarding all data is optimal. Here we analyze the optimal decision rules and quantum measurements in a decision theoretic setting where a prespecified cost is assigned to discarding data. Our scheme interpolates between unambiguous state discrimination (when the cost of postselection is zero) and a min…