QPUs are volatile co-processors. Your software shouldn't be. QDevOps is the control plane for hybrid execution — combining a 5-strategy error-mitigation pipeline, cryptographic reproducibility verdicts, run lineage, typed Python + TypeScript SDKs, and a public benchmark dashboard that proves the science on every commit.
Hardware builders are physicists focused on lasers and dilution refrigerators. Enterprise-grade reproducibility, mitigation, and observability — that's our domain.
Five strategies built on top of Qiskit — ZNE, PEC, DD, TREX, CDR — plus a Compare mode that runs all of them on the same circuit and renders the deltas side-by-side. No researcher rewrites their own mitigation harness.
Every run is stamped with a verdict against its environment's pinned ECR image digest and package fingerprint: bit-identical, statistical, drift, or unpinned. You can prove which container, which Qiskit version, which RNG seed produced any historical result.
Three-stage SQS workers (sandbox · staging · production), a SHA-256 circuit-hash dedup cache that replays identical runs in zero milliseconds, parent / child run lineage with side-by-side diff, and durable S3 artifact storage with presigned downloads.
Every action — submissions, cancellations, re-runs, artifact downloads, worker lifecycle transitions, Python transport retries, drift warnings — captured in a single event table with structured context. Filter the global Logs feed by stage, level, kind, or run ID.
Typed qdevops-io (Python) and @qdevops-io/sdk (TypeScript) clients
with full Bearer-token auth, mode-aware error classes, and a backend
comparison helper. Every push to main replays Bell, Grover, and VQE on
simulator / IBM / Braket and posts results to the public
/bench dashboard.
A 720-line OpenAPI 3.1 spec with
machine-readable schemas for every endpoint, plus self-service personal access tokens
(scoped runs:rw / benchmarks:write) at
/account/tokens. Wire QDevOps into your CI in three lines.
We are building in layers — starting where credibility matters most and expanding into full enterprise infrastructure.
The 5-strategy mitigation pipeline (ZNE · PEC · DD · TREX · CDR · Compare), cryptographic reproducibility verdicts, ECR image pinning, run lineage, SHA-256 circuit-hash deduplication, multi-stage SQS workers, full audit timeline, plus typed Python + TypeScript SDKs with a personal-access-token auth layer and a public benchmark dashboard refreshed on every commit. All running on top of Qiskit, with simulator, IBM Quantum, and AWS Braket backends.
Cirq and PennyLane support alongside Qiskit. Native integrations for IonQ, Quantinuum, and Azure Quantum on top of the existing IBM + Braket backends. A unified credential vault and per-stage backend routing so the same code targets any provider with one line of config.
Automated backend selection based on circuit shape, queue depth, and cost targets. Private deployments into existing AWS / Azure VPCs for regulated environments — financial portfolio optimization, logistics, pharma. We bring the infrastructure layer their data scientists shouldn't have to build.
Framework- and vendor-agnostic by design. Here's exactly what's wired in today versus what's queued for the next phase.
● Live
○ Roadmap
We are onboarding a select group of research teams and quantum infrastructure engineers. Join the waitlist and help shape the platform.