Device-state assessment
Inspect state and channel fidelity, leakage, uncertainty, and control margins before selecting the next action.
Quantum PRX · Sovereign physical intelligence · Available now
Physical intelligencefor quantum systems.
Decide what to calibrate, which experiment to run next, and where to allocate QPU time. Quantum PRX connects fidelity, leakage, and uncertainty to bounded interventions and fleet economics across hardware providers—running locally on Terminus Station without training data or cloud dependency.
For quantum hardware teams, experimental scientists, and quantum-computing operators.
Quantum device and fleet intelligence · Local execution · Deterministic · Air-gap capable
Results for your engineering decisions
Device physics. Experiment priorities. Fleet decisions.
Understand fidelity and leakage, choose actions within physical limits, and coordinate the work across devices and providers. Track useful yield, calibration savings, and value per QPU-minute with the evidence behind each result.
Bounded interventions
Compare pulse, calibration, routing, measurement, and reset choices against physical limits and the current operating strategy.
Campaign and fleet decisions
Schedule dependent experiments and allocate execution capacity across providers, devices, and teams within quotas, deadlines, and budgets.
Quantum operating economics
Evaluate useful yield, calibration savings, and utility per QPU-minute or unit of spend using matched outcomes and explicit uncertainty.
Benchmarks and test conditions September 2026
Intervention comparison
Median latency for the simulated three-branch decision rollout.
Device-risk forecast
Forecast computation in the simulated device case; independent verification is measured separately.
Concurrent campaigns
Fleet scheduling tested with 32 simulated provider records.
Verified workflows
All packaged workflows passed direct replay and clean-install testing.
What you can do today
From device physics to fleet performance.
Connect device telemetry, hardware limits, and execution records. Compare the proposed intervention with the current strategy and no action, then carry that decision into experiment priorities, fleet allocation, and outcome accounting.
Explore the supported workflows
- 01
Assess the device
Screen quantum states and open-system channels for fidelity, leakage, physical admissibility, uncertainty, and sensitivity.
- 02
Select the intervention
Compare proposed actions with the current strategy and no-action case. Respect amplitude, slew, bandwidth, and timing limits.
- 03
Prioritize the experiments
Sequence dependent experiments and calibration work around the next scientific or operating decision.
- 04
Coordinate the fleet
Reconcile execution records across providers and allocate capacity within quotas, deadlines, and budget.
- 05
Account for the outcome
Measure useful work, calibration savings, and utility per QPU-minute with matched comparisons and outcome intervals.
Compare the architecture and technical ecosystem
Where the product fits
Scientific models become operating infrastructure.
PrimeRadiants connects native scientific models to sovereign operational decisions. Fusion is the first commercial market; the same PRX architecture spans orbital systems, quantum hardware, electromagnetics, materials, and hypersonics.
Compare the execution models
| Capability | CAE / HPC physics | Learned physics models | Conventional control | PrimeRadiants PRX |
|---|---|---|---|---|
| Scientific basis | Numerical physics solvers | Trained model, often with physics constraints | Control laws and plant models | Native scientific execution |
| Time to action | Workload and solver dependent | Fast inference after training | Real-time control loops | Near-real-time qualified decision transactions |
| Training requirement | No model training required | Model training or fine-tuning | Usually no model training | No training required |
| Required inputs | Geometry, conditions, material models, calibration | Training inputs, validation, operating inputs | Telemetry, setpoints, plant parameters | Authoritative inputs required by the physics transaction |
| Data custody | Local, HPC, cloud, or hybrid | Local, edge, or cloud; model pipeline dependent | Typically on-device or local | Customer-controlled, air-gapped, no-egress capable |
| Design | Engineering analysis and optimization | Prediction and optimization within model coverage | Control-system design and tuning | Integrated scientific design workflows |
| Operations | Simulation and external operational integrations | Inference integrated into operating workflows | Monitoring and regulation of the target system | Integrated physics-to-decision workflows |
| Physical control | Controller integration or co-simulation | Controller integration and assurance | Core function | Bounded, physics-aware, fail-closed control |
| Replay | Solver and saved-state dependent | Model, version, and inputs dependent | Model and control-log dependent | Source-bound independent replay |
| Evidence | Solver outputs and workflow records | Model, dataset, and experiment records | Telemetry and event logs | Native transaction evidence and provenance |
| Deployment | Workstation, cluster, cloud, or HPC | GPU workstation, server, cloud, or edge | Desktop, embedded, or industrial hardware | Terminus Station appliance |
| Across domains | Solver and product-suite dependent | Model training or adaptation by domain | Plant- and application-specific | One reusable PRX architecture across physical domains |
Explore the approaches: CAE / HPCLearned physicsReal-time control
Technical ecosystem references
Quantum hardware teams already use specialist tools for characterization, pulse design, and calibration automation. Quantum PRX focuses on the decision connecting device evidence, physical constraints, intervention choices, and independently replayable outcomes.
Q-CTRL Boulder Opal
Control design, quantum-system modeling, characterization, optimization, and autonomous calibration.
Our focus
Connect state and channel assessment to constrained intervention choices and matched-outcome evidence in your own environment.
Read Q-CTRL Boulder Opal documentationQuantrolOx Quantum EDGE
Measurement automation, experiment development, and data management with control-instrument integrations.
Our focus
Use customer-provided measurements and execution records to evaluate the next action and retain its decision evidence.
Read QuantrolOx Quantum EDGE documentationQruiseOS / QruiseML
Automated bring-up and calibration, physics-based model learning, optimal control, and error-budget analysis.
Our focus
Keep explicit action constraints, alternatives, and intervention outcomes together for independent replay.
Read QruiseOS / QruiseML documentationBuilt for your engineering team
Your workflow. Results with receipts.
Run Quantum PRX on Terminus Station alongside the telemetry, experiment systems, and execution infrastructure you control. The evaluation connects device assessment, intervention choices, campaign scheduling, and fleet allocation in one provider-neutral workflow, with evidence your team can independently replay.
Cryptographic proof pack
Every control decision has a record.
SHA-256Immutable identityContent-addressed evidence
Inspect the device evidence, the permitted action, and the outcome together.
- Traceable inputs
- Device states, telemetry, and hardware limits
- Explainable results
- Action alternatives, physical constraints, and outcome uncertainty
- Independent checks
- Signed verification and native replay
Explore the evidence: What changed—and what supports the conclusion.
Inside the control-decision proof pack
Compare a proposed intervention with its matched reference. Preserve the device context, control limits, execution record, outcome intervals, and useful-work accounting so another engineer can inspect the conclusion.
Device state
Know the starting point
Preserve the device inputs, telemetry, and uncertainty behind the decision.
Control limits
See why an action fits
Inspect amplitude, slew, bandwidth, and timing constraints.
Alternatives
Compare the choices
Review proposed actions alongside the current strategy and no-action case.
Outcomes
Measure what changed
Retain experiment results, uncertainty, useful yield, and QPU-time accounting.
Independent integrity checks
Signed roots bind the evidence record. Independent native replay rejects a minimally altered result record.
Verify and reuse the saved result
Reopen the intervention, reference, constraints, and outcome record without changing its saved scientific state. Review the evidence before committing to the next experiment.
Work with us
Start with a decision. Expand into operations.
Bring your device, experiment campaign, or fleet operating challenge—and the physical limits and outcomes that define success.