Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

A group of scientists, including Sergey Frolov, professor of physics at the University of Pittsburgh, and co-authors from ...

A preliminary analysis suggests that industrially useful quantum computers designs come with a broad spectrum of energy ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

Quantum computers still look like lab toys: Racks of hardware, error-prone qubits and almost no real-world applications. Yet if you check the roadmaps of major layer-1 blockchains, a new priority now ...

As a tech journalist, Zul focuses on topics including cloud computing, cybersecurity, and disruptive technology in the enterprise industry. He has expertise in moderating webinars and presenting ...

The kidney is one of the body’s most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

Quantum technology can process an enormous amount of data and solve complex problems in seconds rather than decades. Remarkably, quantum technology first appeared in the early 1900s. It originated ...

In the first article of this series, we introduced the idea of Quantum Machine Learning (QML), explained how quantum computing differs from classical computing and why researchers believe the ...

Quantum Machine Learning (QML) is one of the most promising and rapidly evolving fields at the intersection of artificial intelligence and quantum computing. Artificial intelligence has already ...

This project provides a rigorous and practical benchmark of a Quantum Support Vector Classifier (QSVC) for breast cancer diagnosis. Using the well-known Wisconsin Breast Cancer dataset from ...