Your ultimate channel for trends and analysis on quantum computing & emerging quantum technology
The convergence of quantum computing and artificial intelligence — quantum machine learning, hybrid quantum-classical algorithms, and how AI is accelerating quantum research.
Researchers from IonQ and Microsoft suggest that quantum computers could generate high-quality datasets to train AI models for chemistry applications — a hybrid approach that could dramatically accelerate drug discovery and materials science.
Read Full Article →A RAND Corporation analysis identifies five near-term applications where quantum technology will have measurable real-world impact, including AI training acceleration, materials discovery, and financial optimisation.
Read More →IBM's latest Qiskit update introduces new functions that make it significantly easier to build hybrid quantum-classical algorithms, with pre-built modules for optimisation, chemistry simulation, and machine learning.
Read More →A pharmaceutical research team using a quantum-AI hybrid approach has identified a promising drug candidate for Alzheimer's disease in just six weeks — a process that typically takes years using classical computational methods.
Read More →NVIDIA's nvqlink interconnect technology enables quantum processors to communicate directly with GPU clusters at low latency, opening a new paradigm for hybrid quantum-classical computing at scale.
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