When simulating the time evolution of quantum many-body systems on a digital quantum
computer, one faces the challenges of quantum noise and of the Trotter error due to time …

Reconstructing the state of quantum many-body systems is of fundamental importance in
quantum information tasks, but extremely challenging due to the curse of dimensionality. In …

Precise reconstruction of unknown quantum states from measurement data, a process
commonly called quantum state tomography, is a crucial component in the development of …

Quantum state tomography identifies target quantum states by performing repetitive
measurements on identical copies. In this paper, we have two key contributions aimed at …

We propose a non-convex optimization algorithm, based on the Burer-Monteiro (BM)
factorization, for the quantum process tomography problem, in order to estimate a low-rank …

Quantum state tomography is a cornerstone of quantum information technologies to
characterize and benchmark quantum systems from measurement statistics. In this work, we …

Quantum state tomography (QST) is one of the key steps in determining the state of the
quantum system, which is essential for understanding and controlling it. With statistical data …

Quantum state tomography (QST) is essential for characterizing unknown quantum states.
Several methods of estimating quantum states already exist and can be classified mainly …

The recovery of an unknown density matrix of large size requires huge computational
resources. State-of-the-art performance has recently been achieved with the factored …

The process of reconstructing quantum states from experimental measurements,
accomplished through quantum state tomography (QST), plays a crucial role in verifying and …