Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Ulster University's Dr Sunish Kumar Orappanpara Soman focuses on quantum networking and high-speed communications.

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

TL;DR: In 2025, quantum computing moved from theory toward tangible impact. From government programs to startup projects, the industry demonstrated that usefulness is no longer hypothetical. Progress ...

Abstract: Recent advancements in quantum computing (QC) and machine learning (ML) have fueled significant research efforts aimed at integrating these two transformative technologies. Quantum machine ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

The year isn't over yet, but we've already seen record-breaking quantum computers, skyrocketing levels of investment, and demonstrations of real-world benefits. In all the hype about AI it can be easy ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum computing with AI and machine learning. Quantum Circuits announced that its dual ...