Efficient simulation of quantum computers relies on understanding and exploiting the
properties of quantum states. This is the case for methods such as tensor networks, based …

Decoherence in qubits, caused by their interaction with a noisy environment, poses a
significant challenge to the development of reliable quantum processors. A prominent …

Accurate decoding of quantum error-correcting codes is a crucial ingredient in protecting
quantum information from decoherence. It requires characterizing the error channels …

Using GPU-accelerated state-vector emulation, we propose to embed a quantum computing
ansatz into density-functional theory via density-based basis-set corrections to obtain …

Quantum simulation, as a practical application of noisy quantum computing, has aided the
study of exotic quantum matters and the implementation of algorithms that outperform …

A core challenge for superconducting quantum computers is to scale up the number of
qubits in each processor without increasing noise or cross-talk. Distributed quantum …

Fault-tolerant quantum computing is crucial for realizing large-scale quantum computation,
and the interplay between hardware architecture and quantum error-correcting codes is a …

Realizing universal fault-tolerant quantum computation is a key goal in quantum information
science. By encoding quantum information into logical qubits utilizing quantum error …

In this research article, we survey existing quantum physics-related games and, based on
this survey, propose a definition for the concept of quantum games. We define a quantum …

Quantum algorithms must be scaled up to tackle real-world applications. Doing so requires
overcoming the noise present on today's hardware. The quantum approximate optimization …