Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

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 ...

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

Quantum computing will be a game-changer for just about every industry. Better, some of the hottest quantum-related stocks ...

A review published in National Science Review highlights recent progress at the intersection of machine learning and quantum ...

Quantum Computation and Quantum Information by Nielsen and Chuang is the foundational text, covering algorithms, cryptography, and computational complexity. Qua ...

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 ...

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

To kick off local focus on World Quantum Day 2024 (April 14), the University of Tennessee at Chattanooga hosts the first of a three-part, weekly “Quantum Advantage” speaker series this ...

The BEYA STEM Conference introduces a Quantum Computing Executive Leadership Learning Track, preparing leaders for the ...