AI Learns to Fix Quantum Computer Errors
Part of composite article Quantum Startup Oatomic Nabs $300M to Build a Practical Machine Using Just 20,000 Qubits View full article →
Quantum computers are extremely sensitive, making errors common. A new approach uses artificial intelligence to solve this problem. Researchers have trained a system using reinforcement learning, a type of AI that learns through trial and error. This AI can automatically correct quantum errors by adjusting control signals in real time. The method works faster and more efficiently than older techniques, bringing reliable quantum computing closer to reality.