양자 컴퓨팅 + AI : 기업 혁신의 다음 프론티어를 연다.

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

IDC's Point of View

Advice for the Technology Buyer

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