
Security News
New CVE Forecasting Tool Predicts 47,000 Disclosures in 2025
CVEForecast.org uses machine learning to project a record-breaking surge in vulnerability disclosures in 2025.
Quantify-scheduler is a Python package for writing quantum programs featuring a hybrid gate-pulse control model with explicit timing control.
Quantify is a Python-based data acquisition framework focused on Quantum Computing and solid-state physics experiments. The framework consists of quantify-core (git | docs) and quantify-scheduler (git | docs). It is built on top of QCoDeS and is a spiritual successor of PycQED.
quantify-scheduler
is a Python module for writing quantum programs featuring a hybrid gate-pulse control model with explicit timing control.
This control model allows quantum gate and pulse-level descriptions to be combined in a clearly defined and hardware-agnostic way.
quantify-scheduler
is designed to allow experimentalists to easily define complex experiments. It produces synchronized pulse schedules
that are distributed to control hardware, after compiling these schedules into control-hardware specific executable programs.
Qblox
quantify-scheduler | qblox-instruments | Cluster firmware |
---|---|---|
v0.24.0 | 0.17.0 | 0.12.0 |
v0.23.0 | 0.16.0 | 0.11.0 |
v0.22.2 | 0.15.0 | 0.10.0 |
0.14.2 | 0.9.2 | |
0.14.1 | 0.9.1 | |
v0.22.1 | 0.14.2 | 0.9.2 |
0.14.1 | 0.9.1 | |
v0.22.0 | 0.14.2 | 0.9.2 |
0.14.1 | 0.9.1 | |
0.14.0 | 0.9.0 | |
v0.21.2 | 0.14.0 | 0.9.0 |
v0.21.1 | 0.14.0 | 0.9.0 |
v0.21.0 | 0.14.0 | 0.9.0 |
v0.20.1 | 0.13.0 | 0.8.0 |
v0.20.1 | 0.12.0 | 0.7.0 |
v0.20.0 | 0.13.0 | 0.8.0 |
v0.20.0 | 0.12.0 | 0.7.0 |
v0.19.0 | 0.12.0 | 0.7.0 |
v0.18.2 | 0.11.2 | 0.6.2 |
0.11.1 | 0.6.1 | |
0.11.0 | 0.6.0 | |
v0.18.1 | 0.11.2 | 0.6.2 |
0.11.1 | 0.6.1 | |
0.11.0 | 0.6.0 | |
v0.18.0 | 0.11.2 | 0.6.2 |
0.11.1 | 0.6.1 | |
0.11.0 | 0.6.0 | |
v0.17.1 | 0.11.2 | 0.6.2 |
0.11.1 | 0.6.1 | |
0.11.0 | 0.6.0 | |
v0.17.0 | 0.11.2 | 0.6.2 |
0.11.1 | 0.6.1 | |
0.11.0 | 0.6.0 | |
v0.16.1 | 0.11.2 | 0.6.2 |
0.11.1 | 0.6.1 | |
0.11.0 | 0.6.0 | |
v0.16.0 | 0.11.2 | 0.6.2 |
0.11.1 | 0.6.1 | |
0.11.0 | 0.6.0 | |
v0.15.0 | 0.10.x | 0.5.0 |
0.9.0 | 0.4.0 | |
v0.14.0 | 0.10.x | 0.5.0 |
0.9.0 | 0.4.0 | |
v0.13.0 | 0.10.x | 0.5.0 |
0.9.0 | 0.4.0 |
Zurich Instruments
zhinst==21.8.20515
, zhinst-qcodes==0.1.4
, zhinst-toolkit==0.1.5
For a general overview of Quantify and connecting to its open-source community, see quantify-os.org. Quantify is maintained by the Quantify Consortium consisting of Qblox and Orange Quantum Systems.
The software is free to use under the conditions specified in the license.
FAQs
Quantify-scheduler is a Python package for writing quantum programs featuring a hybrid gate-pulse control model with explicit timing control.
We found that quantify-scheduler demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 6 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
CVEForecast.org uses machine learning to project a record-breaking surge in vulnerability disclosures in 2025.
Security News
Browserslist-rs now uses static data to reduce binary size by over 1MB, improving memory use and performance for Rust-based frontend tools.
Research
Security News
Eight new malicious Firefox extensions impersonate games, steal OAuth tokens, hijack sessions, and exploit browser permissions to spy on users.