01
Question → model
Turn a research question into a visible workflow
Structure circuits, parameters, classical steps, notes, and review checkpoints on one canvas before committing scarce execution time.
Visual canvasParametersReview gates
QFLOW STUDIOProduct foundation + staged roadmap
Quantum for everyone. From question to workflow. From workflow to evidence.
As part of our ongoing work with IBM, we are shaping the next QFlow Studio roadmap around IBM Quantum and Qiskit, visual workflows, AI-assisted development, and a traceable evidence layer—making quantum computing easier to learn, explore, and apply.
01
Understand
Make the question and constraints explicit
02
Build
Connect workflow, code, and runtime context
03
Evidence
Keep results reusable and reviewable
FIG 01 · Current QFlow product interfaceAvailable foundation
Visual
Question to workflow
Assisted
Workflow to implementation
Traceable
Execution to evidence
001Product flow
A clear path through the full experiment—not a collection of disconnected tools.
QFlow keeps human intent visible while technical detail accumulates. Each stage remains connected, inspectable, and ready for the next learner, engineer, researcher, or reviewer.
02
Model → implementation
Keep Qiskit code beside the workflow
Connect implementation artifacts to the model so a learner, developer, or reviewer can move between intent, code, and circuit state without losing context.
QiskitSource historyHuman review
03
Implementation → execution
Prepare the right runtime context
Make account, instance, backend, execution mode, estimated usage, and transpilation choices understandable before a workload is submitted.
Instance contextBackend fitCost awareness
04
Execution → evidence
Reconnect every result to its decisions
Preserve the job reference, runtime context, artifacts, post-processing, baseline, and review outcome as a reusable experiment record.
Run recordResultsEvidence
FIG 02 · Roadmap concept visual — not a released integration screen
002IBM + QFlow roles
Trusted quantum infrastructure, with a more accessible path around it.
IBM Quantum supplies the infrastructure, access services, execution environment, and Qiskit software context. QFlow Studio is being shaped as the layer that helps people move from questions to workflows and from experiments to reusable evidence.
IBM Quantum + Qiskit
- Quantum systems and runtime access
- Account, instance, region, and plan context
- Circuit, transpilation, and execution tooling
- Workload IDs, usage, results, and system context
QFlow Studio
- Visual workflow and programme templates
- AI-assisted development with human review
- Accessible runtime and cost context
- Connected artifacts and evidence records
Roadmap statement: named technologies describe the intended technical context. Capabilities roll out in stages; availability depends on QFlow release status and IBM plan, region, permission, and service terms.
003Roadmap priorities
Five priorities, each tied to a practical outcome.
The objective is not simply to demonstrate quantum technology. It is to make learning, experimentation, review, and enterprise evaluation more understandable, practical, and scalable.
01Programme track
Practical education and research programmes
Reusable modules for universities and research teams that connect learning objectives to workflows, code, execution records, results, and instructor or peer review.
02Product track
Accessible environments for builders
Guided visual workflows and AI-assisted Qiskit development for students and developers, with human confirmation before code or workloads move forward.
03Pilot track
Fast, bounded enterprise pilots
Stage-gated pilots for quantum-safe migration and optimisation, defined by a measurable question, classical baseline, resource budget, evidence criteria, and an explicit stop or scale decision.
04Access track
Clearer workload access models
Help teams understand account, instance, plan, credit, subscription, and usage context. Provider eligibility and commercial terms remain governed by IBM and can vary over time.
05Core track
Repeatable research evidence
Keep the question, workflow, source, ISA-ready artifact, execution reference, runtime context, raw result, post-processing, and decision connected across every iteration.
004Three routes to value
One evidence model, adapted for education, research, and enterprise.
Each route starts with a different question, but all three retain the workflow, implementation, execution context, result, and decision that made the work useful.
Education
Roadmap scenario visual
A guided route from concepts to real workflows
Students build, inspect, and explain quantum workflows while instructors review progress and evidence—not only a final answer.
- Course templates
- Cohort review
- No-credit-card pathways where provider programmes allow
Research
Current product interface
An experiment record that survives handover
Research teams retain the implementation and runtime conditions required to inspect, reproduce, compare, or extend an experiment.
- Versioned artifacts
- Backend and calibration context
- Reusable evidence export
Enterprise
Roadmap scenario visual
A bounded pilot with a decision at the end
Teams compare a quantum or quantum-safe approach with an agreed baseline, cost envelope, security constraints, and review gate.
- Quantum-safe migration
- Optimisation feasibility
- Stop, iterate, or scale decision
005Transparent delivery
A roadmap users can understand—without confusing today with tomorrow.
QFlow will publish capability status as the roadmap progresses. AI suggestions remain reviewable, provider access stays subject to provider terms, and no workload reaches hardware without an explicit human action.
Available foundation
- Visual workflow canvas
- Workflow-linked code views
- Provider and runtime context surfaces
- Observatory and experiment-state views
In active development
- Deeper IBM account and instance context
- AI-assisted Qiskit workflow development
- Traceable execution and evidence manifests
- qOS runtime and artifact foundations
Roadmap programmes
- University and research programme kits
- Account, plan, and usage guidance
- Quantum-safe and optimisation pilot packs
- Portable, reusable research evidence
006Evidence layer
What a reusable quantum experiment record should contain.
A screenshot is not evidence. QFlow’s target evidence model connects the decisions and artifacts required to inspect what ran, under which conditions, what it produced, and why the team accepted or rejected the result.
Evidence manifest · target model
QFLOW-RUN / REVIEWABLE RECORD
01
Question & baseline
The problem, success measure, classical comparator, and stop condition.
02
Source & circuit
Versioned workflow, source code, circuit, parameters, and ISA-ready artifact.
03
Runtime context
Provider, region, instance reference, backend, execution mode, and calibration context—never secrets.
04
Build context
Qiskit and package versions, transpiler configuration, seed, shots, precision, and mitigation choices.
05
Execution record
Job, batch, or session reference; timestamps; status; estimated and actual QPU usage where available.
06
Result & decision
Raw result, post-processing version, comparison with baseline, reviewer notes, and next action.
Security boundary: account references may be recorded; API keys, tokens, and provider secrets must never enter the experiment manifest.
007Technology context
Built around official patterns, with clear claim boundaries.
The roadmap follows Qiskit’s map, optimise, execute, and post-process pattern, while adding the programme, workflow, and evidence context teams need around it.
IBM Quantum
Infrastructure, plans, instances, systems, runtime, and workload context
Qiskit
Circuits, transpilation, primitives, execution patterns, and post-processing
Open artifacts
Workflow definitions, source, OpenQASM where applicable, and portable evidence
QFlow Studio
Visual orchestration, assisted development, programme flow, and evidence continuity
008Questions
Understand the roadmap before planning a programme.
What is QFlow Studio?
QFlow Studio is Neura Parse’s visual quantum workflow and evidence product. It is designed to connect questions, workflow models, code, execution context, results, and reviewable evidence in one traceable process.
What role do IBM Quantum and Qiskit play?
IBM provides quantum infrastructure, account and instance services, runtime access, and the Qiskit software stack. The QFlow roadmap focuses on the accessible workflow, AI-assisted development, and evidence layer around that technical context. Availability depends on provider plans, regions, permissions, and product rollout status.
Does QFlow provide IBM Quantum credits or subscriptions?
No universal credit or subscription entitlement is implied. The roadmap aims to make account, instance, plan, eligibility, and usage choices easier to understand while IBM remains the source of its plans, pricing, credits, and access terms.
Are optimisation and quantum-safe pilots production solutions?
They begin as bounded pilots. Optimisation work must retain a classical baseline and resource budget; quantum-safe work is a cryptographic discovery and migration programme, not a QPU algorithm. Production adoption follows only after evidence, security, cost, and governance review.
QFlow Studio roadmap
Start with a question worth answering. End with evidence your team can reuse.
Plan a university programme, reproducible research workflow, quantum-safe readiness pilot, or bounded optimisation study with explicit scope, access assumptions, review gates, and success measures.