MLflow-style experiment tracking, extended with quantum provenance, supports reproducible multi-stage quantum software pipelines, shown on error-mitigated quantum reservoir computing for chaotic time-series prediction.
Dual-frame optimization for informationally complete quantum measurements,
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Systematic Experiment Tracking in Quantum Software: A Case Study of Reservoir Computing with Error Mitigation
MLflow-style experiment tracking, extended with quantum provenance, supports reproducible multi-stage quantum software pipelines, shown on error-mitigated quantum reservoir computing for chaotic time-series prediction.