Understanding how interacting particles approach thermal equilibrium is a major challenge
of quantum simulators,. Unlocking the full potential of such systems towards this goal …

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 …

Superconducting quantum processors are a compelling platform for analogue quantum
simulation due to the precision control, fast operation and site-resolved readout inherent to …

Transport measurements are fundamental for understanding condensed matter phenomena,
from superconductivity to the fractional quantum Hall effect. Analogously, they can be …

Quantum computing is an exciting field that uses quantum principles, such as quantum
superposition and entanglement, to tackle complex computational problems …

Characterizing the nature of hydrodynamical transport properties in quantum dynamics
provides valuable insights into the fundamental understanding of exotic non-equilibrium …

Superconducting quantum processors comprising flux-tunable data and coupler qubits are a
promising platform for quantum computation. However, magnetic flux crosstalk between the …

Tracking the time evolution of a quantum state allows one to verify the thermalization rate or
the propagation speed of correlations in generic quantum systems. Inspired by the energy …

The lifetime of superconducting qubits is limited by dielectric loss, and a major source of
dielectric loss is the native oxide present at the surface of the superconducting metal …

The investigation of strongly-correlated quantum matter is challenging due to the curse of
dimensionality and complex entanglement structures. This complexity is especially …