How AI Tools Drive Progress in Quantum Technologies
Introduction to AI and Quantum Technologies Quantum technologies promise to revolutionize computing, communication, and sensing. However, they face significant challenges in stability and scalability. Artificial intelligence (AI) tools are playing an important role in addressing these challenges. By applying AI, researchers aim to improve quantum error correction and enable scalable quantum computing systems. AI Enhances Quantum Error Correction Quantum systems are very sensitive to errors from their environment. Correcting these errors is crucial for reliable operation. AI tools help by identifying error patterns and optimizing correction protocols. Machine learning algorithms analyze quantum data to predict and fix errors more efficiently than traditional methods. Scaling Quantum Computing with AI Building larger quantum computers requires managing complex interactions among many quantum bits (qubits). AI assists by modeling these interactions and suggesting optimal config...