The development of scalable, high-fidelity qubits is a key challenge in quantum information
science. Neutral atom qubits have progressed rapidly in recent years, demonstrating …

Encoding quantum information into a set of harmonic oscillators is considered a hardware
efficient approach to mitigate noise for reliable quantum information processing. Various …

Minimizing and understanding errors is critical for quantum science, both in noisy
intermediate scale quantum (NISQ) devices and for the quest towards fault-tolerant quantum …

The performance of superconducting quantum circuits for quantum computing has advanced
tremendously in recent decades; however, a comprehensive understanding of relaxation …

Fast, high-fidelity operations between microwave resonators are an important tool for
bosonic quantum computation and simulation with superconducting circuits. An attractive …

Superconducting qubits are a leading system for realizing large-scale quantum processors,
but overall gate fidelities suffer from coherence times limited by microwave dielectric loss …

A critical challenge in developing scalable quantum systems is correcting the accumulation
of errors while performing operations and measurements. It is known that systems where …

Storing quantum information for an extended period of time is essential for running quantum
algorithms with low errors. Currently, superconducting quantum memories have coherence …

The requirements for fault-tolerant quantum error correction can be simplified by leveraging
structure in the noise of the underlying hardware. In this work, we identify a new type of …

In recent years, important progress has been made towards encoding and processing
quantum information in the large Hilbert space of bosonic modes. Mechanical resonators …