Quantum computers stand at the forefront of technological innovation, offering exponential
computational speed-ups that challenge classical computing capabilities. At the cutting edge …

Shadow tomography aims to build a classical description of a quantum state from a
sequence of simple random measurements. Physical observables are then reconstructed …

Analog quantum simulation is an essential routine for quantum computing and plays a
crucial role in studying quantum many-body physics. Typically, the quantum evolution of an …

Extracting information efficiently from quantum systems is a major component of quantum
information processing tasks. Randomized measurements, or classical shadows, enable …

Classical shadow tomography serves as a potent tool for extracting numerous properties
from quantum many-body systems with minimal measurements. Nevertheless, prevailing …

The rapid development of quantum technology demands efficient characterization of
complex quantum many-body states. However, full quantum state tomography requires an …

Characterizing quantum systems is a fundamental task that enables the development of
quantum technologies. Various approaches, ranging from full tomography to instances of …

Recently, neural networks (NNs) have become a powerful tool for detecting quantum phases
of matter. Unfortunately, NNs are black boxes and only identify phases without elucidating …

Remarkable breakthroughs in quantum science and technology are demanding for more
efficient methods in analyzing quantum many-body states. A significant challenge in this …

Recently, neural networks (NNs) have become a powerful tool for detecting quantum phases
of matter. Unfortunately, NNs are black boxes and only identify phases without elucidating …