Quantum computers solve ever more complex tasks using steadily growing system sizes.
Characterizing these quantum systems is vital, yet becoming increasingly challenging. The …

Quantum state tomography (QST) is plagued by the``curse of dimensionality''due to the
exponentially-scaled complexity in measurement and data post-processing. Efficient QST …

Reliable and efficient reconstruction of pure quantum states under the processing of noisy
measurement data is a vital tool in fundamental and applied quantum information sciences …

This paper introduces photon-varied quantum states (PVQSs), which generalize the
nonclassical states obtained via photon addition or subtraction operations. We provide a …

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

Quantum state preparation is an important ingredient in successfully implementing higher-
level quantum algorithms. The information is first encoded into a quantum state for a …

Well-justified error analysis of a self-guided quantum state tomography algorithm will help us
precisely characterize quantum devices. The robustness of the noise property of the self …

In this paper, we present a neural network quantum state tomography scheme, which offers
improvement in generalization to unseen data over conventional methods. Quantum state …