Catalyst-Q Quantum Studio for virtual quantum workloads.
Catalyst-Q is the virtual quantum computer and SDK. A provider-style Quantum Studio gives teams visual circuit building, OpenQASM and Python SDK onboarding, .rain replay continuity, and signed Quantum Execution Records. Reviewable proof is the output of a Catalyst-Q run; MVP rooms are focused application pilots for design partners after the platform run proves enough value. RouteOps remains an application proof room; first proof room is Freight RouteOps. Exact Chemistry, FinOps, agent review, and edge operations follow the same room pattern.
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Buyer Flow
Move a prospect from first conversation to verified contract without asking them to trust a black box.
Owner: Revenue and buyer enablement
- Discover and scope: Quantify the annual cost exposure and define the success metric.
- Baseline replay: Replay historical work to establish ground truth before any recommendation.
- Shadow evaluation: Run Catalyst-Q candidates beside current operations and compare deltas.
- Controlled rollout: Approve limited production scope with holdouts and rollback gates.
- Verified contract: Expand only after savings, risk, and adoption are signed off.
Telemetry: cost exposure, baseline delta, accepted recommendation rate, verified net savings, payback months
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Operator Flow
Give planners, dispatchers, analysts, and supervisors one workbench for live scenarios and exceptions.
Owner: Operations users
- Quantum Studio: Circuit Canvas preview for composing circuits, choosing Backends, running Jobs, inspecting Results, and saving the Quantum Execution Record.
- Applications side rail: Move RouteOps, chemistry, SAT, many-body, grid, and agent-governance proof rooms to the side of the Studio workflow.
- Live operations: Monitor recommendations, stale data, constraints, and human approvals.
- Alerts and exceptions: Surface only the decisions that matter now.
- Performance review: Review outcomes, rejected suggestions, and .rain replay evidence.
- Continuous improvement: Feed eval misses and production learnings back into prompt and solver tuning.
Telemetry: agent runs, workflow, freshness target, human approval status, .rain replay id
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Evidence Engine
Keep the customer evidence visible: proof packets, benchmark gaps, model routes, schemas, APIs, and architecture.
Owner: Engineering and technical evaluators
- Evidence and benchmarks: Run RouteOps now; expand grid and aviation with public fixtures.
- Signed evidence packet: Bundle exact chemistry, freight, grid, deterministic replay, tamper checks, and signed report verification.
- Competitive gates: Track where Catalyst-Q stands against open solvers, incumbent platforms, and public benchmark families.
- Architecture: Review the service layer, model routing, Browser Run, and .rain flow.
- Datasets and telemetry: Show what is live, synthetic, stale, or verified.
- Security and privacy: Explain controls, redaction, access, retention, and replay limits.
- API playground: Show integration examples while keeping buyers on human pages.
Telemetry: benchmark score, constraint violations, model route, solver metadata, prompt contract score
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Cloudflare Trust Layer
Name Cloudflare where buyers care: reliability, identity, observability, edge execution, and evidence capture.
Owner: Platform and security reviewers
- Global edge network: Keep latency low and availability high close to operational users.
- Access and identity: Gate protected routes through Cloudflare Access and least privilege.
- Browser Run evidence: Capture approved webapp and customer portal workflows.
- Pipelines and Analytics: Separate operational events, cost meters, eval feedback, and ROI proof.
- Workers AI routing: Run open-weight baselines with override paths for newer Cloudflare model ids.
Telemetry: auth mode, browser binding, pipeline binding, analytics dataset, AI Gateway/model route