Simulating quantum many-body systems is a key application for emerging quantum
processors. While analog quantum simulation has already demonstrated quantum …

Among the many computational challenges faced across different disciplines, quantum-
mechanical systems pose some of the hardest ones and offer a natural playground for the …

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

We prove that random quantum circuits on any geometry, including a 1D line, can form
approximate unitary designs over $ n $ qubits in $\log n $ depth. In a similar manner, we …

Strongly interacting spins underlie many intriguing phenomena and applications,,–ranging
from magnetism to quantum information processing. Interacting spins combined with motion …

This tutorial article introduces the physics of quantum information scrambling in quantum
many-body systems. The goals are to understand how to precisely quantify the spreading of …

Quantum scrambling describes the spreading of information into many degrees of freedom
in quantum systems, such that the information is no longer accessible locally but becomes …

We study quantum information scrambling in a random unitary circuit that exchanges qubits
with an environment at a rate p. As a result, initially localized quantum information not only …

In this tutorial, we present the definition, interpretation, and properties of some of the main
quasiprobabilities that can describe the statistics of measurement outcomes evaluated at …

Quantum processors require a signal-delivery architecture with high addressability (low
crosstalk) to ensure high performance already at the scale of dozens of qubits. Signal …