QFw is a quantum execution framework for running quantum applications against simulator or hardware services. It uses DEFw as the distributed runtime, adds QFw service APIs, and provides QPM services for execution targets such as TNQVM and NWQ-Sim.
A QPM is a Quantum Platform Manager. In QFw, a QPM service represents one
execution target, advertises its type and capabilities, accepts circuit
submissions through api_qpm_execution, and exposes separate admission,
policy, scheduler, telemetry, and service-control bindings.
The same QFw application workflow can run on a local node, in a Slurm allocation, or inside the containerized QFw-SLURM-Cluster environment. The top-level scripts hide most of the differences between those launch modes.
- Build QFw
- Run QFw Locally
- Run Examples
- Run On A Real Cluster
- Run With QFw-SLURM-Cluster
- Install Configuration Reference
- Shared Filesystem Behavior
- Developer Testing
- High Level Design
- Service Statevector Contract
Clone QFw with its submodules:
git clone --recursive git@github.com:openQSE/QFw.git
cd QFwThe submodules provide DEFw and the QHW Python/runtime packages used by
QFw services. For an existing checkout that was not cloned with
--recursive, initialize or update them before building:
git submodule update --init --recursiveCreate or activate the shared Python environment that QFw should use:
python3 -m venv /path/to/qfw-venv
source /path/to/qfw-venv/bin/activate
python -m pip install --upgrade pip setuptools wheel
python -m pip install -r setup/build-requirements.txt
python -m pip install -r setup/requirements.txtInstall QFw with the CMake-backed installer. Use --with-defw when this
install prefix should also build and install the bundled DEFw tree:
./setup/qfw_install.sh --prefix /path/to/qfw-install --with-defwThe same flow can be run manually:
cmake -S . -B build -DCMAKE_INSTALL_PREFIX=/path/to/qfw-install \
-DQFW_BUILD_BUNDLED_DEFW=ON
cmake --build build
cmake --install buildThe install places public commands in /path/to/qfw-install/bin,
including qfw-activate, defw-python, qfw-setup, qfw-srun,
qfw-teardown, qfw-dirsvc-start, and qfw-service-start.
Simulator runners and optional hardware client libraries must be available through the activated environment or site image. The QFw install packages the QFw service APIs, service modules, examples, QHW submodules, and runtime configuration templates; it does not build TNQVM, NWQ-Sim, QRMI, or QDMI-on-IQM from source.
Activate QFw and run one of the example wrappers. When QFw is not inside a Slurm allocation, the launcher uses the local node for both the application and the services.
source /path/to/qfw-install/bin/qfw-activate
cd "$QFW_SHARE_DIR/examples"
./qfw_mpi_smoke.sh
qfw_deactivateThe example wrappers call qfw-setup, run one application through
qfw-srun, and then call qfw-teardown. Do not call qfw_deactivate
until the wrapper completes.
Activate QFw first, then run examples from the installed examples directory:
source /path/to/qfw-install/bin/qfw-activate
cd "$QFW_SHARE_DIR/examples"Validate framework startup and Qiskit backend construction:
./qfw_init_test.shRun the MPI smoke service and verify an MPI payload can launch:
./qfw_mpi_smoke.shRun a simple Qiskit circuit through the NWQ-Sim backend:
./qfw_qiskit_simple.sh 4Run GHZ through Qiskit:
./qfw_ghz.sh qiskit 4 nwqsim 4Run GHZ through PennyLane:
./qfw_ghz.sh pennylane 4 nwqsim 4Run the fixed PennyLane remote-backend example:
./qfw_pennylane.shRun the Qiskit QAOA Max-Cut example:
./qfw_qaoa.sh nwqsim
./qfw_qaoa.sh tnqvmRun the Qiskit VQE example. The argument is the optimizer iteration limit:
./qfw_qiskit_vqe.sh 1Run a SupermarQ workflow:
./qfw_supermarq.sh sync 1 4 128 false ghz nwqsimRun a chemistry application script when the chemistry application tree is available:
./qfw_chem_app.sh <script-name.py>Run the standard example set sequentially:
./qfw_run_all.shUseful qfw_run_all.sh overrides:
QFW_RUN_ALL_BACKEND=nwqsim ./qfw_run_all.sh
QFW_RUN_ALL_QUBITS=4 QFW_RUN_ALL_VQE_ITERS=1 ./qfw_run_all.shExamples that need a managed reservation should be launched through
qfw_slurm_driver.sh. This script is the test stand-in for the future
Slurm/SPANK integration: it reserves capacity, exports only
QFW_RESERVATION_ID to the application step, runs the application through
qfw-srun, and releases the reservation afterward.
The driver request carries the standardized reservation shape used by QPM and qhw-admission: target device, workload kind, walltime, qtask count, qubits, depth, one-qubit gate count, two-qubit gate count, shots, and measurement count. It also carries trusted launcher context such as user, job/allocation, and scope. Hardware runs may add a non-secret credential hint or opaque credential handle; provider API keys stay in the site-owned QPM environment and are not exported to the application.
./qfw_slurm_driver.sh \
--backend nwqsim \
--example supermarq \
--qubits 4 \
--depth 8 \
--one-q-gates 4 \
--two-q-gates 3 \
--shots 128 \
--count 1 \
--workload-kind quantum \
--operation async_run \
--analytics-json '{"application":"supermarq"}' \
-- ./qfw_supermarq.sh sync 1 4 128 false ghz nwqsimqfw_supermarq.batch is a Frontier-oriented batch template. Edit the
account, node counts, paths, and arguments before submitting it with
sbatch:
sbatch qfw_supermarq.batchFor per-wrapper argument details, see examples/README.md.
Cluster workflow
Use the same installed QFw prefix and example commands from the earlier
sections. The cluster-specific work is taking the right allocation and
selecting the site/runtime configuration used by qfw-setup.
On Frontier-style systems this is usually a two-component heterogeneous allocation:
salloc -N 1 -t 4:00:00 -A <project> --network=single_node_vni: \
-N 1 -t 4:00:00 -A <project> --network=single_node_vniThen source qfw-activate from the installed prefix and run the wrappers
from Run Examples. The example commands are the same as
the local workflow. Site defaults are read from $QFW_SITE_CONFIG, and
per-job runtime overrides can be passed to qfw-setup by custom wrappers
with --runtime-config.
Containerized Slurm workflow
Use the QFw-SLURM-Cluster README for the container build, image pull, shared directory setup, and cluster startup steps.
Inside the container, QFw normally lives at:
/workspace/qfw-container-base/QFwThe QFw-SLURM-Cluster image already contains the simulator runners, so a development checkout normally only needs a QFw install prefix:
cd /workspace/qfw-container-base/QFw
./setup/qfw_install.sh --prefix /workspace/qfw-container-base/qfw-install-dev \
--with-defw
source /workspace/qfw-container-base/qfw-install-dev/bin/qfw-activateAfter activation, run the wrappers from Run Examples. The example commands are the same as the local workflow.
Installed layout and runtime configuration
QFw installation is CMake-backed. setup/qfw_install.sh is a convenience
wrapper around:
cmake -S . -B build -DCMAKE_INSTALL_PREFIX=<prefix>
cmake --build build
cmake --install buildImportant CMake options:
CMAKE_INSTALL_PREFIX: install prefix for QFw commands, Python modules, service APIs, examples, and configuration templates.QFW_BUILD_BUNDLED_DEFW: build and install the bundled DEFw tree.QFW_DEFAULT_DEFW_PREFIX: default DEFw prefix encoded intoqfw-activate; useselfwhen DEFw is installed into the same prefix.QFW_PYTHON_INSTALL_DIR: relative Python site-packages destination.
The installed prefix contains:
bin/qfw-activate: prepares QFw, DEFw, Python, and library paths.bin/defw-python: runs Python through the DEFw executor bridge.bin/qfw-setup: creates runtime state and starts allocation-local services when requested.bin/qfw-srun: launches applications with the active QFw runtime state.bin/qfw-teardown: stops QFw-owned runtime processes and removes run state.bin/qfw-dirsvc-start: starts a long-running or allocation-local DEFw directory service.bin/qfw-service-start: starts a long-running or allocation-local QFw service.share/qfw/config: site, runtime, service, and device configuration templates.share/qfw/examples: installed example wrappers and application tests.
The default runtime configuration files are:
share/qfw/config/site.yaml: site directory and install-prefix defaults.share/qfw/config/runtime.yaml: site-only resolver defaults.share/qfw/config/runtime/local.yaml: allocation-local directory and QPM startup.share/qfw/config/runtime/hybrid.yaml: allocation-local startup with site fallback.share/qfw/config/services/local-services.yaml: allocation-owned simulator services, placement, and provider launch settings.share/qfw/config/services/site-services.yaml: operator-started hardware QPM implementations.
qfw-activate exports QFW_PREFIX, QFW_SHARE_DIR, QFW_SITE_CONFIG,
QFW_RUN_BASE_DIR, DEFW_PREFIX, DEFW_EXTERNAL_SERVICES_PATH, and
DEFW_EXTERNAL_SERVICE_APIS_PATH. It can also activate a shared Python virtual
environment before layering QFw paths:
source /path/to/qfw-install/bin/qfw-activate --venv /path/to/shared-venvWithout --venv, activation still works with the default installed
environment. If a user virtual environment is already active, it is preserved
and its site-packages are prepended to PYTHONPATH so services started through
defw-python see the same Python package set as the application. When
--venv is provided and a different virtual environment is already active, the
explicit --venv path takes precedence and qfw-activate switches to it.
Simulator and hardware-provider dependencies are site/image concerns.
Install them into the shared user environment or make them available
through the site module stack before sourcing qfw-activate.
The IQM service does not return _raw_iqm as a separate result field.
Instead, it embeds the full native IQM result payload in
qhw_result["raw"] by default. To turn that off, set this before starting
the IQM service:
export QFW_IQM_INCLUDE_RAW_RESULT=falseWith that setting, QFw still returns qhw_result, including
qhw_result["extensions"]["iqm.v1"], but omits the full raw IQM payload.
Node-local and shared directory expectations
QFw does not enforce a shared filesystem across nodes in a Slurm allocation. The setup layer treats the run id as global state, propagates it to remote setup commands, and creates the required QFw temp directories on each node before writing logs or startup artifacts there.
This means the QFw infrastructure can operate with node-local temp directories for startup logs, service logs, pid files, and the PRTE DVM URI as long as the producer and consumer of each file run on the same node. In the current startup model, the directory service, QPM services, and DVM startup run on the group-1 head node, so those local files do not require a cluster-wide shared directory.
Backend simulators can have stricter requirements. QFw does not rewrite or stage simulator-specific files automatically.
QASM input files are written by QFw on the service node. This is safe for backends that only read the QASM file from rank 0 on that same node.
NWQ-Sim count output is rank-0 guarded and does not require every MPI rank to write a shared output file.
NWQ-Sim statevector dumps use NWQ-Sim's native --dump_file path. In the
MPI statevector backend, every MPI rank participates in writing the same
dump file in rank order. That requires the dump path to be visible and
writable from all MPI ranks, unless the run is single-rank or head-local.
For node-local filesystems, avoid multi-node NWQ-Sim statevector dumps unless the dump directory is placed on shared storage or explicit staging is added. QFw can run without a shared filesystem, but individual simulator modes may still require one.
Local CI-style checks
Run these checks when editing QFw itself:
python -m pip install flake8 pytest
./.github/scripts/ci-syntax.sh
./.github/scripts/ci-mock.shThe example wrappers under examples/ are integration paths. They expect
a configured and activated QFw environment.
Runtime architecture
QFw uses DEFw as the distributed runtime and layers QFw-specific services and APIs on top. DEFw handles process startup, messaging, role management, and remote execution. QFw adds simulator-specific QPM services, QRC execution paths, installation helpers, and example applications.
The repository is organized around:
setup/: the CMake install helper, runtime command implementation, and default service manifest.services/: QFw-owned DEFw services such assvc_tnqvm_qpmandsvc_nwqsim_qpm.service-apis/: independent QFw-owned DEFw service APIs for QPM execution, admission, policy, scheduler, telemetry, and privileged control.DEFw/: the distributed runtime submodule.bin/: simulator runner binaries copied from dependency builds.examples/: runnable examples and integration-style tests.
The Slurm runtime model uses group 0 for applications and group 1 for services and simulator execution. Local mode maps those roles onto the same node.
flowchart LR
subgraph G0["Application role"]
App["Application process"]
API["QFw client API"]
end
subgraph G1["Service and execution role"]
DirSvc["DEFw directory service"]
DVM["PRTE DVM"]
QPM["QPM services"]
MPI["MPI launch path"]
Target["Simulator or hardware"]
end
App --> API
API <--> DirSvc
API <--> QPM
DirSvc <--> QPM
QPM --> MPI
MPI --> DVM
MPI --> Target
QPM -. direct service path .-> Target
The local service manifest,
share/qfw/config/services/local-services.yaml, describes allocation-owned
simulators and their provider launch settings. The site service manifest,
share/qfw/config/services/site-services.yaml, describes operator-started
hardware QPM implementations. site.yaml selects the active site manifest,
device-access configuration, and common QPM retention settings.
QFw-specific services and APIs are loaded into DEFw through:
DEFW_EXTERNAL_SERVICES_PATHDEFW_EXTERNAL_SERVICE_APIS_PATH
This keeps DEFw generic while allowing QFw services to evolve independently.
Common statevector payload
QPM services may expose simulator statevectors when a backend requests
QFW_CAP_STATEVECTOR. Each service owns parsing of its simulator-native
output, but services should publish statevectors through the common
builder in services/util/qpm/statevector.py.
The common service payload is:
{
"type": "statevector",
"format": "complex128",
"num_qubits": 4,
"num_amplitudes": 16,
"data": [[real, imag], ...],
"source": "nwqsim",
}Services should return this structure under the statevector key:
{
"counts": counts,
"statevector": statevector.to_dict(),
}Count-only services may continue to return the existing plain counts dictionary. The QFw backend accepts both forms.
NWQ-Sim writes statevectors through its native --dump_file option when
QFw requests statevector data. QFw names the dump file from the circuit
UUID with a .dump extension, parses it as the NWQ-Sim native
complex128 statevector, converts it to the common payload, and removes
the dump file after parsing or failure cleanup.
For MPI statevector runs, NWQ-Sim expects that dump path to be visible to all MPI ranks. Use shared storage for the dump directory or keep the run single-rank/head-local when running on node-local filesystems.