Optimizing Quantum Computing Technology

This chapter explores the optimization of technology for spin qubits and superconducting qubits, focusing on real-time calibration software and challenges faced in calibrating quantum computers with large numbers of qubits. It discusses the importance of parallelization, automation, and continuous calibration for improving performance. The chapter also delves into using AI and machine learning for vision optimization and the integration of software with hardware to automate qubit states for specific algorithms.