During the reporting period, significant progress was achieved in the development of the MAGIC Deep Digital Twin, integrating trap physics, cooling modules (Doppler, Sideband, Sympathetic colling, etc.,), motional dynamics, and gate modeling (NMR, phase-mod gates, etc.,) into a unified simulation framework. Additionally, we also worked on different benchmarking protocols (RB, RPE, mGST, etc.,) together with SPAM characterization, and calibration techniques. Theoretical studies demonstrated that phase-modulated gates can achieve faster (~30 times faster) execution than NMR-based gates while requiring enhanced motional control, providing important design guidance for future scalable architecture. The project also advanced software infrastructure through standardized simulation interfaces, automated system monitoring, logging, diagnostics, and calibration routines, enabling improved device reliability, operational stability, and efficient system validation across testbeds. Automated characterization tools were developed for Rabi oscillations, address-frequency tracking, and hardware health monitoring (RF/DC voltages, vacuum current, laser wavelengths, etc.,), establishing a robust foundation for rapid prototyping and experimental optimization.
The project further strengthened the experimental performance of the MAGIC platform through comprehensive quantum characterization and benchmarking. Average single-qubit and two-qubit gate fidelities of 0.9968(10) and 0.9894(17) respectively, were achieved, while crosstalk was reduced to the order of 10⁻⁵. Two-qubit entangled-state tomography demonstrated a stable average fidelity of 0.9582(17) on a six-qubit register over a period of several weeks, with experiments repeated on a daily basis. Benchmarking techniques, including Randomized Benchmarking, compressive Gate Set Tomography, Quantum State Tomography, Crosstalk Benchmarking, Detector Tomography, and Robust Phase Estimation, were developed or further optimized, together with pulse-level error mitigation strategies such as pulse shaping, dynamical decoupling, pulse scheduling, and noise-aware gate compilation. In parallel, the successful €57 million Series A financing round reinforced industrial confidence in the MAGIC technology roadmap and provided the funding required to accelerate commercialization, expand industrial-scale deployment, enable cloud-based access to the eleQtron quantum computer through Schwarz Digits, and further develop fault-tolerant trapped-ion quantum computing technology.
