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Further Reading: Chapter 29 — Quantum Computing Systems: Cryogenics, Control Electronics, Calibration, and What It Takes to Run a Quantum Computer
- Pobell, F. Matter and Methods at Low Temperatures. Springer, 3rd edition (2007). — The definitive reference on dilution refrigeration and cryogenic techniques.
- Krinner, S., et al. "Engineering cryogenic setups for 100-qubit scale superconducting circuit systems." EPJ Quantum Technology, 6, 2 (2019). — Practical cryogenic engineering for quantum computing.
- Ryan, C. A., et al. "Hardware-efficient randomized benchmarking." Physical Review A, 99, 032301 (2019). — Randomized benchmarking techniques.
- Kelly, J., et al. "Physical and technical limitations of superconducting qubits." Annual Review of Condensed Matter Physics, 11, 369–395 (2020). — System-level challenges.
- IBM Quantum. "Qiskit Experiments: Calibration experiments framework." — Documentation for automated calibration.
- Quantum Machines. "OPX+: Quantum control system specifications." — Industry control electronics.
- Acharya, R., et al. "Suppressing quantum errors by scaling a surface code logical qubit." Nature, 614, 676–681 (2023). — Google's demonstration of error correction with system-level integration.
- Motzoi, F., et al. "Simple pulses for elimination of leakage in weakly anharmonic qubits." Physical Review Letters, 103, 110501 (2009). — DRAG pulse theory.
- Gambetta, J. M., et al. "Quantum trajectory approach to circuit QED with qubit losses." Physical Review A, 74, 042318 (2006). — Readout theory.