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

Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …

Gate set tomography (GST) is a protocol for detailed, predictive characterization of logic
operations (gates) on quantum computing processors. Early versions of GST emerged …

During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …

The usual way to reveal properties of an unknown quantum state, given many copies of a
system in that state, is to perform measurements of different observables and to analyse the …

Strongly correlated quantum systems give rise to many exotic physical phenomena,
including high-temperature superconductivity. Simulating these systems on quantum …

Holographic reconstruction is troubled by the phase-conjugate wave front arising from
Hermitian symmetry of the complex field. The so-called twin image obfuscates the …

Low-light-level imaging techniques have application in many diverse fields, ranging from
biological sciences to security. A high-quality digital camera based on a multi-megapixel …

The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …

We provide a new quantum algorithm that efficiently determines the quality of a least-
squares fit over an exponentially large data set by building upon an algorithm for solving …