In recent years, neural network estimator-based quantum state tomography has gained its
popularity. Inspired by advances in the field of state-of-the-art deep learning techniques, we …

Efficient measurement of high-dimensional quantum correlations, especially spatial ones, is
essential for quantum technologies. We propose and demonstrate an adaptively gated …

Quantum state tomography, which aims to find the best description of a quantum state—the
density matrix, is an essential building block in quantum computation and communication …

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 …

Practical entanglement distillation is a critical component in quantum information theory.
Entanglement distillation is often utilized for designing quantum computer networks and …

This chapter delves deeply into quantum process tomography (QPT) and regression: two
critical approaches in the field of processing quantum information. The process of …

This research paper presents a novel approach to the classical k-means clustering problem
by using quantum computing. The k-means algorithm is a well-known method for grouping …

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 …

Shor algorithm is one of the most spectacular discoveries in quantum computing; that
quantum computer can solve problems which is not feasible on a classical computer …