zhinst-timing-models

What it is and 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).

The 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.

Use it for:

• 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

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides feedback latency model parameters for Zurich Instruments quantum control systems (PQSC, SHF, HDAWG), enabling calculation of timing delays in quantum feedback loops.

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.

Install

zhinst-timing-models on PyPI

pip install zhinst-timing-models

uv add zhinst-timing-models

poetry add zhinst-timing-models

Installing zhinst-timing-models

Before you install

Low friction install with only two lightweight runtime dependencies (numpy, pyyaml). Active maintenance with a release 15 days old indicates ongoing support.

License in practice

MIT license is permissive and places no restrictions on use, modification, or distribution in commercial or private projects.

Quickstart

pip install zhinst-timing-models

from zhinst.timing_models import (
    QCCSFeedbackModel,
    get_feedback_system_description,
    SGType,
    QAType,
    PQSCMode,
    TriggerSource,
)

model = QCCSFeedbackModel(
    description=get_feedback_system_description(
        generator_type=SGType.HDAWG,
        analyzer_type=QAType.SHFQA,
        pqsc_mode=PQSCMode.DECODER,
        trigger_source=TriggerSource.ZSYNC,
    )
)
awg_clock_cycles = model.get_latency(...)

Verify before relying

• Whether the package supports all PQSC, SHF, and HDAWG system variants or only a subset
• Whether latency calculations account for all sources of delay or only specific feedback paths
• Whether the model is validated against actual hardware measurements

Package facts

Evidence: zhinst_timing_models-26.7.0-py3-none-any.whl

Keywords: zhinst

Tags

More Scientific/Engineering packages