Quantum computing is still in its early stages of development, but researchers have extensively explored its potential uses.

For decades, quantum computing has felt like something out of science fiction — abstract, theoretical, and always “10 years ...

IT and networking giant claims first of its kind network-aware distributed quantum compiler capable of running quantum algorithms across multiple processors while handling error correction across the ...

Abstract: The Gene Regulatory Network (GRN) in biological cells orchestrates essential functions for adaptation and survival in diverse environments, drawing on structural similarities with the ...

Abstract: The study explores the integration of quantum-enhanced feature mapping and optimization within Graph Neural Networks (GNNs) for molecular classification tasks. Utilizing IBM's Qiskit ...

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...

PsiQuantum's billion-dollar boost will help to bring a quantum computer to Chicago by 2028. Learn more here. Chicago quantum coalition advances in federal funding ...

Infleqtion, a quantum computing firm, has agreed to merge with a special purpose acquisition company (SPAC), valuing the startup at $1.8 billion. The merger is expected to provide Infleqtion with the ...

Pure plays like IonQ and D-Wave Quantum are high-risk, high-reward investments. Alphabet and Microsoft need quantum computing for their cloud computing services. Nvidia is bridging the gap between ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...