qm-qua
QUA language SDK to control a Quantum Computer
Decision gist · record as of 2026-08-14
Yes, if you have access to a Quantum Machines OPX controller and QOP. The package is actively maintained, has low install friction, carries a permissive license, and is marked production-stable. No known security vulnerabilities. Install only if you need to control quantum systems via Quantum Machines hardware; it is not a general-purpose quantum simulator.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (up to 3.14).
- Requires a Quantum Machines OPX controller and QOP (Quantum Operating Platform) to be available for connection.
- Low install friction with a pure-wheel distribution.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause is a permissive license; you can use, modify, and distribute this package with minimal restrictions, provided you retain the license notice and disclaimer.
last release 2026-08-12 (2 days) · last repo commit 2026-08-12 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 135,847 downloads/mo, #11,416 on PyPI
Alternatives
Verify before relying
pip install qm-qua
from qm.qua import Program
from qm.QuantumMachinesManager import QuantumMachinesManager
# Connect to QOP and define a QUA program
qmm = QuantumMachinesManager()
program = Program()
# ... define pulse sequences and measurements- Whether the package works offline or requires a live QOP connection for basic imports and program definition.
- Whether numpy, plotly, and other scientific dependencies are used in all workflows or only in specific features.
- Specific version compatibility constraints for grpcio, protobuf, and other protocol-buffer-dependent libraries.
What it is and what it does
QM-QUA is a Python SDK that brings QUA—a domain-specific language for pulse-level quantum control—into a Pythonic interface. QUA lets you define quantum programs at the pulse level, specifying exact timing and waveforms for controlling qubits via Quantum Machines' OPX hardware. The SDK communicates with the QOP (Quantum Operating Platform) to execute these programs on real quantum systems.
The package bundles 11 runtime dependencies including marshmallow for data serialization, httpx and grpcio for network communication, numpy and plotly for numerical and visualization work, and tinydb for local data storage. It targets modern Python versions (3.10 through 3.14) and is classified as production-stable. The repository is actively maintained with recent releases.
Use it for
- Define and execute pulse-level quantum programs on Quantum Machines OPX hardware for quantum algorithm research.
- Build calibration routines that tune qubit control parameters by iterating pulse sequences and measuring results.
- Integrate quantum control workflows into larger Python applications via the SDK's Pythonic DSL interface.
- Prototype quantum circuits with precise timing control before deployment to production quantum systems.
- Collect and analyze quantum measurement data using the built-in integration with numpy and plotly.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have access to a Quantum Machines OPX controller and QOP.
The package is actively maintained, has low install friction, carries a permissive license, and is marked production-stable. No known security vulnerabilities. Install only if you need to control quantum systems via Quantum Machines hardware; it is not a general-purpose quantum simulator.
Install
qm-qua on PyPI
Before you install
Low install friction with a pure-wheel distribution. Active maintenance with a release 2 days old as of the fact sheet date. Depends on 11 runtime packages including data serialization (marshmallow), networking (httpx, grpcio), and scientific computing (numpy, plotly) libraries.
Requires Python 3.10 or later (up to 3.14). Requires a Quantum Machines OPX controller and QOP (Quantum Operating Platform) to be available for connection.
License in practice
BSD-3-Clause is a permissive license; you can use, modify, and distribute this package with minimal restrictions, provided you retain the license notice and disclaimer.
Quickstart
pip install qm-qua
from qm.qua import Program
from qm.QuantumMachinesManager import QuantumMachinesManager
# Connect to QOP and define a QUA program
qmm = QuantumMachinesManager()
program = Program()
# ... define pulse sequences and measurementsVerify before relying
- Whether the package works offline or requires a live QOP connection for basic imports and program definition.
- Whether numpy, plotly, and other scientific dependencies are used in all workflows or only in specific features.
- Specific version compatibility constraints for grpcio, protobuf, and other protocol-buffer-dependent libraries.
Package facts
| License | BSD-3-Clause permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 11 packagesdatadog-api-clientgrpciohttpxmarshmallowmarshmallow-polyfieldmultidictnumpyplotlyprotobuftinydbtyping-extensions |
| Maintenance | Actively maintained 2 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 135,847 / month, #11,416 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Quantum Computing |
Evidence: qm_qua-1.4.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “quantum computing control sdk”
- qm-quaQM-QUA is a Python SDK that implements QUA, a pulse-level language…
- qm-octaveSDK for controlling Quantum Machine's Octave hardware using QUA,…
- qiskitQiskit is an open-source SDK for building and executing quantum…
Give your agent the search over MCP, or paste the wish link into any chat.
More Quantum Computing packages
Cirq-core provides the foundational framework for writing, manipulating, and simulating quantum circuits on noisy intermediate-scale quantum (NISQ) devices, with built-in simulators and abstractions for quantum algorithm development.
Install it if you're working on quantum algorithms or need a Python-based quantum computing toolkit.
OpenFermion compiles and analyzes quantum algorithms to simulate fermionic systems, providing data structures and tools for manipulating fermionic and qubit Hamiltonians for quantum chemistry applications.
Install it if you are developing quantum algorithms for chemistry or fermionic systems.
Provides access to Google's Quantum Computing Service and tools for calibration and characterization of Google quantum hardware, built on top of Cirq for writing and running quantum circuits.
Cirq is a Python framework for writing, manipulating, and running quantum circuits on quantum computers and simulators, with support for parameterized circuits, noise modeling, and hardware device abstractions.
Install it if quantum computing development is your goal.
Automates IBM Quantum backend connection, authentication, and selection by detecting your subscription plan and returning the least-busy available QPU resource for immediate use in Qiskit circuits.
However, note the aging maintenance status (219 days since last release) and verify that the connector's error handling and backend-selection logic align with your…
Integrates Cirq quantum circuits with IonQ quantum computers, enabling you to write quantum algorithms in Cirq and execute them on IonQ hardware.
See also qm-octave · qualang-tools · openpulse · cirq-pasqal · MultiPyVu · cirq-aqt · qiskit · oqpy · qcodes