Quantum information processing—which relies on spin defects or single-photon emission—
has shown quantum advantage in proof-of-principle experiments including microscopic …

Linear optical quantum computing provides a desirable approach to quantum computing,
with only a short list of required computational elements. The similarity between photons and …

Simulating the quantum dynamics of molecules in the condensed phase represents a
longstanding challenge in chemistry. Trapped-ion quantum systems may serve as a platform …

We develop a physics-based model for classical computation based on autonomous
quantum thermal machines. These machines consist of few interacting quantum bits (qubits) …

Resource efficient schemes for the quantum simulation of lattice gauge theories can benefit
from hybrid encodings of gauge and matter fields that use the native degrees of freedom …

The entanglement of different macroscopic objects can provide crucial resources for various
quantum applications and quantum-enabled devices. The generation, manipulation, and …

Trapped atomic ion qubits or effective spins are a powerful quantum platform for quantum
computation and simulation, featuring densely connected and efficiently programmable …

Mechanical degrees of freedom are natural candidates for continuous-variable quantum
information processing and bosonic quantum simulations. However, these applications …

The spin-boson model, involving spins interacting with a bath of quantum harmonic
oscillators, is a widely used representation of open quantum systems. Trapped ions present …

Hybridizing different degrees of freedom or physical platforms potentially offers various
advantages in building scalable quantum architectures. Here, we introduce a fault-tolerant …