Finite quantum tomography via semidefinite programming

Abstract

Using the the convex semidefinite programming method and superoperator formalism we obtain the finite quantum tomography of some mixed quantum states such as: qudit tomography, N-qubit tomography, phase tomography and coherent spin state tomography, where that obtained results are in agreement with those of References \cite{schack,Pegg,Barnett,Buzek,Weigert}.

25 pages

References in corpus (7)

• Distinguishing separable and entangled states
• Designing Optimal Quantum Detectors Via Semidefinite Programming
• Quantum computers in phase space
• Reconstructing the density operator by using generalized field quadratures
• Quorum of observables for universal quantum estimation
• Qudit Entanglement
• Finite quantum tomography via semidefinite programming

Cited by in corpus (5)

• Phase-space interference of states optically truncated by quantum scissors: Generation of distinct superpositions of qudit coherent states by displacement of vacuum
• Optimal Unambiguous Discrimination of Quantum States
• Investigating a Class of $2\otimes 2\otimes d$ Chessboard Density Matrices via Linear and Non-linear Entanglement Witnesses Constructed by Exact Convex Optimization
• The minimum-error discrimination via Helstrom family of ensembles and Convex Optimization
• Finite quantum tomography via semidefinite programming