Unconventional dynamical phases that violate ergodicity have been a subject of extensive
research in recent years. A periodically driven system is naively expected to lose all memory …

Noise mitigation and reduction will be crucial for obtaining useful answers from near-term
quantum computers. In this work, we present a general framework based on machine …

Quantum process tomography is a powerful tool for understanding quantum channels and
characterizing the properties of quantum devices. Inspired by recent advances using …

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

PyGSTi is a Python software package for assessing and characterizing the performance of
quantum computing processors. It can be used as a standalone application, or as a library …

The simulation of strongly correlated many-electron systems is one of the most promising
applications for near-term quantum devices. Here we use a class of eigenvalue solvers …

Quantifying and verifying the control level in preparing a quantum state are central
challenges in building quantum devices. The quantum state is characterized from …

Mid-circuit measurements are a key component in many quantum information computing
protocols, including quantum error correction, fault-tolerant logical operations, and …

Measurements that occur within the internal layers of a quantum circuit—midcircuit
measurements—are a useful quantum-computing primitive, most notably for quantum error …

Quantum process tomography is an experimental technique to fully characterize an
unknown quantum process. Standard quantum process tomography suffers from …