Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

The core of the research lies in using large language models to automatically generate circuit architectures tailored to specific quantum computers. These circuit designs take into account critical ...

New tools that simplify quantum complexity are reshaping physics research, drawing fresh investment, and fueling urgency ...

The study explores how quantum algorithms, particularly techniques in quantum machine learning, can enhance the performance of robots in tasks such as operation, navigation, and grasping. The core ...

COLLEGE PARK, Md.--(BUSINESS WIRE)--IonQ (NYSE: IONQ), a leader in the quantum computing industry, today announced the launch of its new Faculty & Researcher Learning Series in partnership with South ...

A device made from superconducting qubits could prove a powerful technology for enabling practical quantum computing or more ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

D-Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), a leader in quantum computing systems, software, and services, ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...