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1. Full-stack architecture
A quantum system includes qubits, control hardware, signal generation, amplification or detection, packaging, thermal or vacuum systems, calibration software, compilers, and classical feedback. Scaling any one layer can expose bottlenecks in another.
Quantum computing is a systems-engineering problem.
2. Connectivity and modularity
Architectures trade local connectivity, gate speed, movement, shuttling, photonic links, and fabrication yield. Modular systems may ease fabrication but require high-fidelity interconnects and networking protocols.
Scaling strategy must include communication between qubits and modules.
3. Calibration and autonomous control
Large devices require continuous calibration, drift tracking, pulse optimization, anomaly detection, and decoder integration. AI and control theory may be important enabling technologies.
Operational stability can be as important as peak benchmark performance.
4. Applied activity
Advanced exercise: derive or simulate one representative result from this module, document assumptions, and produce a one-page technical interpretation for a non-specialist decision maker.