This collection supports and amplifies research related to SDG 9 - Industry, innovation and infrastructure. Quantum Machine Learning is currently listed as one of the most promising candidates for ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

Researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, Northeastern University, Google ...

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum ...

Researchers at North Carolina State University have unveiled Rainbow, a first-of-its-kind multi-robot self-driving laboratory that autonomously discovers high-performance quantum dots—semiconductor ...

The next decade will see AI evolve into dynamic intelligence fabrics, exhibiting contextual awareness, cooperative reasoning, and continuous learning across all sectors.

Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, enabling real-time multi-object tracking with the core optimization running ...

Dr. Pravir Malik is the founder and technologist of QIQuantum and the Forbes Technology Council Community leader for Quantum Computing. As breakthroughs in quantum computing, artificial intelligence ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

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 ...