{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/8"}],"enrichment":{"capability":"Provides feedback latency model parameters for Zurich Instruments quantum control systems (PQSC, SHF, HDAWG), enabling calculation of timing delays in quantum feedback loops.","skillfed_tags":["quantum-computing","hardware-timing"],"use_cases":["Calculate expected feedback loop latency for a given HDAWG-SHFQA-PQSC configuration before running experiments","Validate timing assumptions in quantum control sequences by querying model latencies","Determine whether a proposed system architecture meets latency requirements for real-time feedback","Compare latencies across different trigger sources and PQSC modes to optimize system design"],"what_it_does":"This package provides a computational model for calculating feedback latencies in Zurich Instruments quantum control systems. It encapsulates timing parameters for PQSC, SHF, and HDAWG hardware, allowing users to query expected delays in quantum feedback loops given a system configuration (generator type, analyzer type, PQSC mode, and trigger source).\n\nThe package is designed for quantum researchers and engineers who need to understand or predict timing behavior in their quantum control setups. It depends on numpy and pyyaml and supports Python versions from 3.8 through 3.14. The API centers on instantiating a QCCSFeedbackModel with a system description, then calling methods to retrieve latency values in clock cycles.","worth_installing":"Yes, if you are working with Zurich Instruments quantum control hardware and need to understand or predict feedback latencies. The package is actively maintained, has no known vulnerabilities, and carries a permissive license. Install friction is low and the API is straightforward. Not relevant for users outside the Zurich Instruments ecosystem."},"id":"zhinst-timing-models","links":{"html":"https://skillfed.io/packages/zhinst-timing-models","md":"https://skillfed.io/packages/zhinst-timing-models.md","pypi":"https://pypi.org/project/zhinst-timing-models/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-30","license_spdx":"MIT","license_treatment":"permissive","name":"zhinst-timing-models","python_support":"supports_current","summary":"Feedback Data Latency model for PQSC, SHF- and HDAWG systems."},"popularity":{"monthly_downloads":87642,"position":13778,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"26.7.0"}