Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants like Siri to personalized recommendations on Netflix. As AI technology advances, quantum machine learning ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

AI is reshaping society in real time and many expect quantum computing to one day do the same — but not for some time yet ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

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 ...

The quantum computing trade has shifted from a speculative bet to an identifiable, investable theme, and the three ...

UNSW Sydney engineers have riffed on the famous Schrödinger's cat analogy to demonstrate a more efficient way to eliminate ...

The Defiance Quantum ETF (QTUM) tracks companies driving advances in quantum computing and machine learning through a rules-based, equal-weighted ETF approach.