Accelerating The Path To Practical Quantum Applications With AI
HPC Wire, Thursday, October 2nd, 2025
Over the past few years, the convergence of artificial intelligence (AI) and quantum computing has shifted from speculative rhetoric to tangible research and early commercial deployment.
Today, professionals in high-performance computing (HPC), supercomputing, AI and related technology domains can observe real-world use cases emerging - driven by hybrid architectures, quantum-machine-learning techniques and novel software tools.
Pharmaceutical and materials-science researchers are leveraging quantum machine learning (QML) to simulate molecular interactions that classical systems struggle to compute. For instance, Microsoft's Azure Quantum Elements - integrating AI, HPC and quantum hardware - enabled scientists to screen tens of millions of candidate battery materials and solve catalytic chemistry tasks using two logical qubits alongside classical compute resources.