Quantum state tomography (QST) is a fundamental technique in quantum information
processing (QIP) for reconstructing unknown quantum states. However, the conventional …

Quantum state tomography aims to estimate the state of a quantum mechanical system
which is described by a trace one, Hermitian positive semidefinite complex matrix, given a …

Quantum state tomography (QST) is the task of statistically constructing the density matrix of
an unknown quantum state by measuring its several copies. The presence of noise in the …

High-dimensional quantum information processing has become a mature field of research
with several different approaches being adopted for the encoding of D-dimensional quantum …

We introduce an entanglement measure, the Modified Bloch Norm ($ MBN $), for finite-
dimensional bipartite mixed states, based on the improved Bloch matrix criteria. $ MBN $ is …

Abstract We revisit the Pseudo-Bayesian approach to the problem of estimating density
matrix in quantum state tomography in this paper. Pseudo-Bayesian inference has been …

Quantum state tomography (QST) can be posed as an optimization problem, where the goal
is to find the quantum state ρ that makes the observed data more likely. Obtaining the …

Quantum states tomography (QST) relies on the accurate measurements of an unknown
quantum state to re-construct its density matrix representation. When the unknown quantum …

Quantum state tomography (QST) is a task in quantum information processing to determine
the state of an unknown quantum state. This task is accomplished by measuring an …