Quantum Machine Learning is an interdisciplinary field that harnesses the computational power of quantum systems to develop algorithms that can process and analyze data more efficiently than classical ...

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 ...

The Defiance Quantum ETF offers diversified exposure to quantum computing and AI. Read what supports QTUM as a compelling ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants ...

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 ...

Finding high-performing candidates in the vast search space of bosonic qubit encodings represents a complex optimization task, which the researchers address with reinforcement learning, an advanced ...

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 ...

"Machine Learning in Quantum Sciences", outcome of a collaborative effort from world-leading experts, offers both an introduction to machine learning and deep neural networks, and an overview of their ...

Today's energy industry is undergoing profound changes in response to the demands of climate change mitigation. To improve their operations, optimize resources, and enhance customer experiences, ...