Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …

Quantum computers must achieve large-scale, fault-tolerant operation to deliver on their
promise of transformational processing power [1-4]. This will require thousands or millions of …

We describe Qiskit, a software development kit for quantum information science. We discuss
the key design decisions that have shaped its development, and examine the software …

We report on the fault-tolerant operation of logical qubits on a neutral atom quantum
computer, with logical performance surpassing physical performance for multiple circuits …

In the standard circuit model of quantum computation, the number and quality of the
quantum gates composing the circuit influence the runtime and fidelity of the computation …

Due to the sparse connectivity of superconducting quantum computers, qubit communication
via SWAP gates accounts for the vast majority of overhead in quantum programs. We …

The quantum approximate optimisation algorithm (QAOA) and its variants are at the core of
many scenarios that aim at combining the power of quantum computers (QC) and classical …

Quantum computing carries significant potential for addressing practical problems. However,
currently available quantum devices suffer from noisy quantum gates, which degrade the …

Recent work has shown the promise of applying deep learning to enhance software
processing of radio frequency (RF) signals. In parallel, hardware developments with …

The synthesis of single-qudit unitaries has mainly been understudied, resulting in inflexible
and non-optimal analytical solutions, as well as inefficient and impractical numerical …