Fault Tolerant Quantum

Fault-tolerant quantum computing aims to overcome the inherent fragility of quantum systems by developing methods to detect and correct errors. Current research focuses on developing robust quantum error correction codes, such as the surface code, and optimizing quantum circuits for minimal error rates, often employing techniques like reinforcement learning and tensor decomposition to reduce the number of costly gates. These advancements are crucial for building practical quantum computers capable of running complex algorithms for applications in machine learning, materials science, and cryptography, ultimately pushing the boundaries of computation.