Step 01
Canvas
Circuit
Review
01
Design the circuit workflow
Teams start from a visual canvas where quantum blocks, parameters, gates, notes, and reviewer context stay attached to the same operational record.
QFlow StudioRun quantum workflows from idea to approved evidence.
QFlow Studio helps research, provider rollout, and academy teams design editable circuits, keep Qiskit and QASM source in sync, route against provider context, and produce reviewer-safe proof packets.
Canvas
editable workflow
Routing
provider-fit checks
Source
Qiskit + QASM
Evidence
review packet
Workflow studio
Quantum Ops Pilot
Canvas
Qiskit
QASM
Proof
Product flow
One studio surface for circuit design, provider routing, execution context, and proof.
The page flow follows the official QFlow product structure: canvas, source, provider hub, observatory, and evidence.
Step 02
Qiskit
Cirq
OpenQASM
02
Keep source beside the canvas
Generated Qiskit, Cirq, CUDA-Q, and OpenQASM artifacts remain tied to the workflow so implementation details do not drift into detached files.
Step 03
Provider
Device
Route
03
Route with provider context
Provider credentials, device fit, queue signals, backend type, and route readiness are visible before anyone submits a run.
Step 04
Health
Runs
Proof
04
Observe readiness and proof
The observatory view brings workflow health, hardware setup, academy progress, run status, and evidence state into one operational surface.
Real deployment scenes
Built for teams that need quantum work to survive review, not just demos.
QFlow is positioned for research operations, provider rollout, and academy programs. The imagery below uses QFlow Studio source assets: lab hardware, provider hardware, and learning cohort contexts.
Research operations
Move from experiment idea to reproducible workflow record with circuit, code, provider decisions, run notes, and evidence in one place.
editable circuitsrun historyreview packet
Provider rollout
Compare hardware routes across cloud and quantum providers before submitting jobs, then preserve the chosen route with the evidence packet.
provider fitqueue contextdevice readiness
Academy programs
Give learning cohorts a studio where source, workflow state, lab progress, and instructor review remain visible without switching tools.
academy progresscohort reviewshared evidence
qOS track
We are working on qOS as the operating layer under quantum workflows.
QFlow Studio is the workflow and evidence surface. qOS is the active development track for the runtime layer that can carry provider-aware execution, artifacts, and audit state with the workflow record.
01
Workflow record
The canvas, generated source, route decision, and evidence payload are treated as one persistent record.
02
Provider-aware execution
qOS is being shaped around provider context, hardware readiness, runtime boundaries, and transparent execution state.
03
Evidence manifest
Every run needs reviewer-safe proof: inputs, source, backend selection, timing, status, and exportable artifacts.
04
Learning operations
Academy progress and instructor review connect to the same studio flow used by pilot and research teams.
Provider and artifact ecosystem
Provider context and generated artifacts stay visible before the run.
QFlow’s current ecosystem language includes IBM Quantum, AWS Braket, Azure Quantum, IonQ, Rigetti, Quantinuum, Qiskit, CUDA-Q, Cirq, and OpenQASM.
IBM Quantum
runtime
AWS Braket
cloud QPU
Azure Quantum
resource layer
IonQ
trapped ion
Rigetti
superconducting
Quantinuum
pytket
Qiskit
SDK
CUDA-Q
hybrid
Cirq
circuits
OpenQASM
export
Evidence packet
Inputs, generated source, selected route, run status, hardware notes, and review state become exportable proof.
Reviewer-safe operations
The output is not just a run. It is a record your team can inspect.
QFlow’s evidence model is useful when quantum work has to move through research review, enterprise security review, academy assessment, or provider rollout gates. The studio keeps the workflow human-readable while preserving the technical artifacts a reviewer needs.
Circuit and parameter history
Generated SDK and QASM source
Provider route and device fit
Run status and review notes
QFlow Studio
Start with the studio, then connect the operating layer as qOS matures.
The new Neura Parse flow now positions QFlow as our quantum workflow and learning studio, with qOS called out as the active operating-layer work behind it.