The efficient simulation of quantum systems is a primary motivating factor for develo**
controllable quantum machines. For addressing systems with underlying bosonic structure, it …

Quantum reservoir computing (QRC) has been proposed as a paradigm for performing
machine learning with quantum processors where the training takes place in the classical …

Spins and oscillators are foundational to much of physics and applied sciences. For
quantum information, a spin 1/2 exemplifies the most basic unit, a qubit. High angular …

QUANTUM COMPUTING A helpful introduction to all aspects of quantum computing
Quantum computing is a field combining quantum mechanics—the physical science of …

Any useful quantum computer must be robust to errors on the individual qubits. This means
a quantum algorithm can still reliably give the correct answer despite the qubits suffering …

The development of controllable quantum machines is largely motivated by a desire to
simulate quantum systems beyond the capabilities of classical computers. Investigating …

Superconducting cavities coupled to transmon ancillae are a promising platform for fault-
tolerant quantum computation. This pairing produces universal control over a long-lived …

Generation of entanglement between qubits connected by a lossy channel is an important
primitive for large-scale, modular, quantum information processing. Photon loss errors …