The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

A major bottleneck in the development of scalable many-body quantum technologies is the
difficulty in benchmarking state preparations, which suffer from an exponential 'curse of …

Over the past few years, machine learning has emerged as a powerful computational tool to
tackle complex problems in a broad range of scientific disciplines. In particular, artificial …

The impressive pace of advance of quantum technology calls for robust and scalable
techniques for the characterization and validation of quantum hardware. Quantum process …

In the era of noisy intermediate-scale quantum devices, the number of controllable hardware
qubits is insufficient to implement quantum error correction. As an alternative, quantum error …

Classical shadow tomography provides an efficient method for predicting functions of an
unknown quantum state from a few measurements of the state. It relies on a unitary channel …

Understanding quantum systems is of significant importance for assessing the performance
of quantum hardware and software, as well as exploring quantum control and quantum …

Estimating physical properties of quantum states from measurements is one of the most
fundamental tasks in quantum science. In this work, we identify conditions on states under …

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 …

We train a generative language model on the randomized local measurement data collected
from Schrödinger's cat quantum state. We demonstrate that the classical reality emerges in …