This IDC Perspective explores the key opportunities and hurdles in integrating AI with quantum computing, and vice versa, to inform stakeholders on navigating this complex, evolving landscape. The convergence of artificial intelligence (AI) and quantum computing represents one of the most transformative intersections in emerging technology. While both fields have matured independently, their integration holds the promise of unlocking new computational paradigms, enabling solutions to problems intractable to classical systems. However, significant technical, operational, and strategic challenges remain.“AI and quantum computing are not just converging, but they are accelerating each other’s evolution. AI is already playing a critical role in optimizing quantum systems, while quantum computing holds the potential to unlock new levels of performance, efficiency, and interoperability in AI,” notes Heather West, PhD, research manager, Performance-Intensive Computing, IDC. “Enterprises that recognize this symbiotic relationship and begin exploring hybrid strategies today will be better positioned to lead in the next era of intelligent computing.”
Executive Snapshot
Situation Overview
AI for Quantum Computing
AI-Driven Quantum Computing Calibration
AI-Driven Quantum Error Mitigation and Correction
AI in Quantum Circuit and Algorithm Design
AI-Driven Quantum Compilation
AI-Optimized Quantum Hardware Design
AI-Augmented Simulation for Quantum Hardware Development
AI-Driven Strategies for Quantum Application Development
AI-Driven System Health Monitoring and Fault Prediction in Quantum Infrastructure
Quantum Computing for AI
Quantum Machine Learning
Quantum Optimization for AI Workflows
Quantum-Accelerated Data Processing
Generative Models and Quantum AI
Quantum-Aware Neural Network Training
AI Model Verification and Explainability via Quantum Methods
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Advice for the Technology Buyer
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