We perform quantum process tomography (QPT) for both discrete-and continuous-variable
quantum systems by learning a process representation using Kraus operators. The Kraus …

Dissipative collective effects are ubiquitous in quantum physics and their relevance ranges
from the study of entanglement in biological systems to noise mitigation in quantum …

Existing protocols for benchmarking current quantum coprocessors fail to meet the usual
standards for assessing the performance of high-performance-computing platforms. After a …

Rapid progress in quantum technology has transformed quantum computing and quantum
information science from theoretical possibilities into tangible engineering challenges …

Benchmarking and characterizing quantum states and logic gates is essential in the
development of devices for quantum computing. We introduce a Bayesian approach to self …

We present a general denoising algorithm for performing $\textit {simultaneous tomography}
$ of quantum states and measurement noise. This algorithm allows us to fully characterize …

We present a simple and powerful technique for finding a good error model for a quantum
processor. The technique iteratively tests a nested sequence of models against data …

Quantum tomography makes it possible to obtain a comprehensive information about certain
logical elements of a quantum computer. In this regard, it is a promising tool for debugging …

We describe a technique for self-consistently characterizing both the quantum state of a
single-qubit system, and the positive-operator-valued measure (POVM) that describes …

Closed-loop control algorithms for real-time calibration of quantum processors require
efficient filters that can estimate physical error parameters based on streams of measured …