Finite Sample Analysis In Quantum Estimation
DOWNLOAD
Download Finite Sample Analysis In Quantum Estimation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Finite Sample Analysis In Quantum Estimation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Finite Sample Analysis In Quantum Estimation
DOWNLOAD
Author : Takanori Sugiyama
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-15
Finite Sample Analysis In Quantum Estimation written by Takanori Sugiyama and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with Science categories.
In this thesis, the author explains the background of problems in quantum estimation, the necessary conditions required for estimation precision benchmarks that are applicable and meaningful for evaluating data in quantum information experiments, and provides examples of such benchmarks. The author develops mathematical methods in quantum estimation theory and analyzes the benchmarks in tests of Bell-type correlation and quantum tomography with those methods. Above all, a set of explicit formulae for evaluating the estimation precision in quantum tomography with finite data sets is derived, in contrast to the standard quantum estimation theory, which can deal only with infinite samples. This is the first result directly applicable to the evaluation of estimation errors in quantum tomography experiments, allowing experimentalists to guarantee estimation precision and verify quantitatively that their preparation is reliable.
Statistical Analysis Of Quantum Annealing Models And Density Matrix Estimation In Quantum Homodyne Tomography
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2015
Statistical Analysis Of Quantum Annealing Models And Density Matrix Estimation In Quantum Homodyne Tomography written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Quantum computation is of great current interest in computer science, mathematics, physical sciences and engineering. The thesis is devoted to the statistical analysis of the model of quantum annealing, and statistical methodologies to construct density matrix estimators. The D-Wave One machine was announced in 2011 as "the world's first commercially available quantum computer" and claimed to run quantum annealing to solve optimization problem. Since the announcement, the model of the D-Wave One machine has been heavily debated. We conduct statistical analysis to compare the result of D-Wave One with the result of the simulated annealing, the simulated quantum annealing and a mean field approximation to quantum annealing. Our statistical analysis shows none of the simulated models fit the D-Wave model well. Meanwhile, comparison of plots and test statistics suggests the model of the D-Wave one is more or less similar to the simulated quantum annealing and the mean field approximation, while different from the simulated annealing. Density matrices describe the quantum states of quantum systems. It is important while difficult to estimate the density matrices, for the elements of density matrices cannot be measured directly. We propose statistical methodologies to construct density matrix estimators from quantum homodyne tomography measurements. We establish an asymptotic theory showing that the proposed density matrix estimators are consistent and have good convergence rates. A numerical study is conducted to demonstrate the finite sample performances of the proposed estimators.
Frontiers In Analysis And Probability
DOWNLOAD
Author : Nalini Anantharaman
language : en
Publisher: Springer Nature
Release Date : 2020-11-21
Frontiers In Analysis And Probability written by Nalini Anantharaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-21 with Mathematics categories.
The volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory. Subjects discussed in this Work are those treated in the so-called Strasbourg–Zürich Meetings. These meetings occur twice yearly in each of the cities, Strasbourg and Zürich, venues of vibrant mathematical communication and worldwide gatherings. The topical scope of the book includes the study of monochromatic random waves defined for general Riemannian manifolds, notions of entropy related to a compact manifold of negative curvature, interacting electrons in a random background, lp-cohomology (in degree one) of a graph and its connections with other topics, limit operators for circular ensembles, polyharmonic functions for finite graphs and Markov chains, the ETH-Approach to Quantum Mechanics, 2-dimensional quantum Yang–Mills theory, Gibbs measures of nonlinear Schrödinger equations, interfaces in spectral asymptotics and nodal sets. Contributions in this Work are composed by experts from the international community, who have presented the state-of-the-art research in the corresponding problems treated. This volume is expected to be a valuable resource to both graduate students and research mathematicians working in analysis, probability as well as their interconnections and applications.
Asymptotic Theory Of Quantum Statistical Inference Selected Papers
DOWNLOAD
Author : Masahito Hayashi
language : en
Publisher: World Scientific
Release Date : 2005-02-21
Asymptotic Theory Of Quantum Statistical Inference Selected Papers written by Masahito Hayashi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-21 with Science categories.
Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has made remarkable progress since 1990. In particular, its asymptotic theory has been developed during this period. However, there has hitherto been no book covering this remarkable progress after 1990; the famous textbooks by Holevo and Helstrom deal only with research results in the earlier stage (1960s-1970s).This book presents the important and recent results of quantum statistical inference. It focuses on the asymptotic theory, which is one of the central issues of mathematical statistics and had not been investigated in quantum statistical inference until the early 1980s. It contains outstanding papers after Holevo's textbook, some of which are of great importance but are not available now.The reader is expected to have only elementary mathematical knowledge, and therefore much of the content will be accessible to graduate students as well as research workers in related fields. Introductions to quantum statistical inference have been specially written for the book. Asymptotic Theory of Quantum Statistical Inference: Selected Papers will give the reader a new insight into physics and statistical inference.
Quantum Bio Informatics From Quantum Information To Bio Informatics
DOWNLOAD
Author : Luigi Accardi
language : en
Publisher: World Scientific
Release Date : 2008-03-10
Quantum Bio Informatics From Quantum Information To Bio Informatics written by Luigi Accardi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-10 with Science categories.
The purpose of this volume is examine bio-informatics and quantum information, which are growing rapidly at present, and to attempt to connect the two, with a view to enumerating and solving the many fundamental problems they entail. To this end, we look for interdisciplinary bridges in mathematics, physics, and information and life sciences. In particular, research into a new paradigm for information science and life science on the basis of quantum theory is emphasized.
Financial Econometrics Bayesian Analysis Quantum Uncertainty And Related Topics
DOWNLOAD
Author : Nguyen Ngoc Thach
language : en
Publisher: Springer Nature
Release Date : 2022-05-28
Financial Econometrics Bayesian Analysis Quantum Uncertainty And Related Topics written by Nguyen Ngoc Thach and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-28 with Technology & Engineering categories.
This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.
Quantum Cryptography And Computing
DOWNLOAD
Author : Ryszard Horodecki
language : en
Publisher: IOS Press
Release Date : 2010
Quantum Cryptography And Computing written by Ryszard Horodecki and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
Theory and Implementation. This volume contains papers presented at the NATO Advanced Research Workshop September 9-12, 2009, Quantum Cryptography and Computing Theory and Implementation, that was held in Sopot, Poland and organized by the National Quantum Information Centre of
Microcomputer Quantum Mechanics
DOWNLOAD
Author : J.P. Killingbeck
language : en
Publisher: CRC Press
Release Date : 2018-01-18
Microcomputer Quantum Mechanics written by J.P. Killingbeck and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Science categories.
Microcomputer Quantum Mechanics combines the teaching of computing skills with depth of mathematical understanding. This practical text demonstrates how computation can be integrated with theoretical analysis as part of a unified attack on problems in one of the most interesting areas of modern physics. The author discusses the mathematical principles behind the programs and actually creates new methods to facilitate the application of microcomputers in quantum mechanics.Microcomputer Quantum Mechanics combines the teaching of computing skills with depth of mathematical understanding. This practical text demonstrates how computation can be integrated with theoretical analysis as part of a unified attack on problems in one of the most interesting areas of modern physics. The author discusses the mathematical principles behind the programs and actually creates new methods to facilitate the application of microcomputers in quantum mechanics.
Statistical Inferences On High Frequency Financial Data And Quantum State Tomography
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2016
Statistical Inferences On High Frequency Financial Data And Quantum State Tomography written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
In this dissertation, we study two topics, the volatility analysis based on the high-frequency financial data and quantum state tomography. In Part I, we study the volatility analysis based on the high-frequency financial data. We first investigate how to estimate large volatility matrices effectively and efficiently. For example, we introduce threshold rules to regularize kernel realized volatility, pre-averaging realized volatility, and multi-scale realized volatility. Their convergence rates are derived under sparsity on the large integrated volatility matrix. To account for the sparse structure well, we employ the factor-based Itô processes and under the proposed factor-based model, we develop an estimation scheme called “blocking and regularizing". Also, we establish a minimax lower bound for the eigenspace estimation problem and propose sparse principal subspace estimation methods by using the multi-scale realized volatility matrix estimator or the pre-averaging realized volatility matrix estimator. Finally, we introduce a unified model, which can accommodate both continuous-time Itô processes used to model high-frequency stock prices and GARCH processes employed to model low-frequency stock prices, by embedding a discrete-time GARCH volatility in its continuous-time instantaneous volatility. We adopt realized volatility estimators based on high-frequency financial data and the quasi-likelihood function for the low-frequency GARCH structure to develop parameter estimation methods for the combined high-frequency and low-frequency data. In Part II, we study the quantum state tomography with Pauli measurements. In the quantum science, the dimension of the quantum density matrix usually grows exponentially with the size of the quantum system, and thus it is important to develop effective and efficient estimation methods for the large quantum density matrices. We study large density matrix estimation methods and obtain the minimax lower bound under some sparse structures, for example, (i) the coefficients of the density matrix with respect to the Pauli basis are sparse; (ii) the rank is low; (iii) the eigenvectors are sparse. Their performances may depend on the sparse structure, and so it is essential to choose appropriate estimation methods according to the sparse structure. In light of this, we study how to conduct hypothesis tests for the sparse structure. Specifically, we propose hypothesis test procedures and develop central limit theorems for each test statistics. A simulation study is conducted to check the finite sample performances of proposed estimation methods and hypothesis tests.
Formulation And Numerical Solution Of Quantum Control Problems
DOWNLOAD
Author : Alfio Borzi
language : en
Publisher: SIAM
Release Date : 2017-07-06
Formulation And Numerical Solution Of Quantum Control Problems written by Alfio Borzi and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-06 with Technology & Engineering categories.
This book provides an introduction to representative nonrelativistic quantum control problems and their theoretical analysis and solution via modern computational techniques. The quantum theory framework is based on the Schr?dinger picture, and the optimization theory, which focuses on functional spaces, is based on the Lagrange formalism. The computational techniques represent recent developments that have resulted from combining modern numerical techniques for quantum evolutionary equations with sophisticated optimization schemes. Both finite and infinite-dimensional models are discussed, including the three-level Lambda system arising in quantum optics, multispin systems in NMR, a charged particle in a well potential, Bose?Einstein condensates, multiparticle spin systems, and multiparticle models in the time-dependent density functional framework. This self-contained book covers the formulation, analysis, and numerical solution of quantum control problems and bridges scientific computing, optimal control and exact controllability, optimization with differential models, and the sciences and engineering that require quantum control methods. ??