We review the development of generative modeling techniques in machine learning for the
purpose of reconstructing real, noisy, many-qubit quantum states. Motivated by its …

We generalize the classical shadow tomography scheme to a broad class of finite-depth or
finite-time local unitary ensembles, known as locally scrambled quantum dynamics, where …

We report a proof-of-concept demonstration of a quantum order-finding algorithm for
factoring the integer 21. Our demonstration involves the use of a compiled version of the …

Polar molecules are a quantum resource with rich internal structure that can be coherently
controlled. The structure, however, also makes the state preparation and measurement …

In almost all quantum applications, one of the key steps is to verify that the fidelity of the
prepared quantum state meets expectations. In this Letter, we propose a new approach …

Nuclear magnetic resonance is arguably both the best available quantum technology for
implementing simple quantum computing experiments and the worst technology for building …

Quantum state tomography (QST) is a crucial ingredient for almost all aspects of
experimental quantum information processing. As an analog of the “imaging” technique in …

We consider the problem of quantum-state tomography under the assumption that the state
is pure, and more generally that its rank is bounded by a given value r. In this scenario two …

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

Quantum simulations of molecular systems on quantum computers often employ minimal
basis sets of Gaussian orbitals. In comparison with more realistic basis sets, quantum …