these multi-photon sources, are introduced to bridge the gap between discrete and continuous quantum degrees of freedom.This book is intended to serve as an instructive and self-contained medium for advanced undergraduate and postgraduate students to grasp the basics of quantum-state estimation. Any...
An algorithm for quantum-state estimation based on the maximum-likelihood estimation is proposed. Existing techniques for state reconstruction based on the inversion of measured data are shown to be overestimated since they do not guarantee the positive definiteness of the reconstructed density matrix.关...
A learned denoising-based approximate message passing (LDAMP) deep learning network is proposed and trained in this paper, which is applied to the estimation of quantum states. This network combines denoising convolutional neural network with denoising-b
2.1 Quantum state estimation Quantum state estimation is often referred to as quantum state tomography in the quantum technology community. The basic aim of quantum state estimation is to reconstruct unknown quantum states. According to the quantum measurement postulate, the measurement on a quantum sys...
Quantum-state estimation problem via optimal design of experimentsJun Suzuki ∗Graduate School of Informatics and Engineering, The University of Electro-Communications,1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan(Dated: December 23, 2020)In this paper, we study the quantum-state estimation...
quantum state estimationlarge deviationscovariant observablesIn this paper we propose a method to estimate the density matrix ρ of a d-level quantum system by measurements on the N-fold system in the joint state ρN. The scheme is based on covariant observables and representation theory of ...
We present an approach to Bayesian mean estimation of quantum states using hyperspherical parametrization and an experiment-specific likelihood which allows utilization of all available data, even when qubits are lost. With this method, we report the first closed-form Bayesian mean estimate (BME) for...
We study informationally overcomplete measurements for quantum state estimation so as to clarify their tomographic significance as compared with minimal informationally complete measurements. We show that informationally overcomplete measurements can improve the tomographic efficiency significantly over minimal measure...
预订 高被引Introduction to Quantum-State Estimation [ISBN:9789814678834] 【全球购】进口原版图书,约5-8周到达国内后发出 作者:Teo, Yong Siah出版社:World Scientific Publishing Company出版时间:2015年10月 手机专享价 ¥ 当当价 降价通知 ¥807.00 ...
The physical origin for the FDP state estimation approach, encapsulated in the functional of equation (3), can be understood by examining the Born rule, equation (1), applied to the probe states and estimated state. Minimization of the functional in equation (3) aims to reduce the difference...