HIGH-FIDELITY CONTROL OF SUPERCONDUCTING QUBITS: OPTIMIZED PULSE STRATEGIES FOR QUANTUM COMPUTING APPLICATIONS IN AFRICA

Abstract

This study explores high-fidelity control methods for superconducting qubits, focusing on their potential applications in addressing technological challenges in Africa. We evaluate three pulse optimization techniques—Gaussian-shaped pulses, Gradient Ascent Pulse Engineering (GRAPE), and Chopped Random-Basis (CRAB)—for achieving robust quantum gate operations. Through numerical simulations, CRAB emerges as the most balanced approach, delivering high fidelity (0.927) with moderate computational cost (9 seconds), while Gaussian pulses demonstrate superior noise resilience (1.000 fidelity under noise). These findings highlight the feasibility of adapting advanced quantum control methods for resource-constrained settings, with implications for quantum-enhanced solutions in African healthcare, agriculture, and logistics. The study underscores the need for localized quantum research infrastructure to bridge the global technological divide.