Self-Correcting Quantum Circuits via Adaptive Control
Jincheng Zhang
Abstract
This paper explores the design and implementation of self-correcting quantum circuits, a paradigm shift from traditional passive error correction strategies in quantum computing. The core concept involves creating quantum circuits capable of autonomously detecting and rectifying errors through adaptive control mechanisms. This is achieved by utilizing ancillary qubits for real-time monitoring of circuit dynamics and employing a reinforcement learning (RL) agent to dynamically adjust control pulses, thereby minimizing decoherence and maximizing quantum fidelity. The proposed approach moves beyond passive correction, introducing an active system that responds intelligently to errors as they occur. The theoretical framework and the underlying mechanisms are detailed, laying the groundwork for future research and development in robust and resilient quantum computation. The key advancements lie in the integration of dynamic monitoring and adaptive control, offering a potentially significant step towards fault-tolerant quantum computing.