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

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

Rice computer scientists have developed algorithms that account for quantum noise that is not just random, but malicious ...

Quantum machine learning stands at the forefront of AI research and application, promising to address some of the most challenging problems across various industries.

By linking quantum expressibility to neural tangent kernel behaviour, this work offers a new framework for understanding and improving learning dynamics in quantum machine learning ...

Because quantum computers are still a nascent technology, this work—and much of the research done in the field of quantum machine learning models—is still theoretical.

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

Researchers at Cleveland State University have recently achieved a significant breakthrough in the field of quantum sensing by utilizing machine learning techniques to optimize circuits, successfully ...

IonQ (NYSE: IONQ), a leader in the quantum computing industry, today announced the launch of its new Faculty & Researcher Learning Series in partn ...