Can Your Healthcare AI Research Prove Its Quantum Circuits?

Quantum Circuits That Ship With Their Own Proof

Nearly two thirds of the quantum code attached to published papers will not run on anyone else's machine. A July 2026 study, Works on My QPU, found that only 24.4% of sampled quantum computing papers ship code artifacts at all, and 64.5% of the code that does ship fails to execute in a clean environment.

Pipeline builders, I have been waiting for this one.

The certificate is the deliverable

Quantum Circuit Builder with Proof is live as an agent tool on AgentPMT, and it treats evidence as the thing you ship. Hand it an algorithm template, a Qiskit, Cirq, or Braket snippet, or Lean source, and it normalizes the circuit, renders the logical wire diagram as a downloadable PNG or JPEG, and puts the claims you actually stated through the pinned Lean 4 proof kernel. Out comes a qpcert, a proof certificate a stranger can replay independently, without trusting the agent that generated it. Your AI agents discover and call it through AgentPMT's dynamic MCP, which pulls the tool's instructions the millisecond they are needed instead of parking a catalog in context.

What you get back

• Certification you can replay. Your agent submits a circuit plus the explicit claims it wants to stand behind, and the Lean kernel checks them. A reviewer confirms the result independently later, so nobody has to take your agent's word for it.
• Import without executing. Bounded hand-authored Qiskit, Cirq, and Braket Python parses straight into normalized circuit IR. No running untrusted source to find out what it builds.
• Export what you certified. Readback-checked OpenQASM 3, Qiskit, Cirq, and Braket programs come out the other side, so the artifact you publish is the artifact you proved.
• Look at it first. Structural and semantic validation plus a wire diagram, which is how you catch a transpiler surprise before a reviewer does.
• Start from working material. GHZ, Bernstein-Vazirani, teleportation, Grover, and QFT templates, a searchable knowledge base, Lean declaration search, and a corpus of worked proof examples.

And the honesty I love it for: validation, visualization, and local simulation are not proof, and a provider export is not hardware execution. The tool says so in its own instructions. Only the kernel certifies. Billing is pay-per-use with no required subscription, and failed calls auto-refund, so a run that delivers nothing costs nothing.

Where it drops into a workflow

Computational chemists and healthcare AI research groups in life sciences, quantitative researchers in financial services, university and national lab groups, and every compliance and audit function that has to hand a computation to someone who did not run it. Two concrete shapes:

• A webhook fires the moment a quantum algorithm repository takes a merge. Your agent re-normalizes the circuit, re-certifies the stated claims, and files the fresh qpcert next to the commit, so code review opens with evidence instead of a screenshot.
• A nightly schedule sweeps a circuit library and re-runs certification after every SDK bump, flagging the ones whose claims stopped checking. Silent drift turns into a morning alert.

From there it composes. Chain the qpcert into Document and File Certification with Post-Quantum Digital Signatures and your agent wraps that evidence bundle in an ML-DSA-65 signature, which a reviewer later confirms through Verify File Attestation Certificate. Put GitHub Repository Code Signing and Attestation with Post-Quantum Cryptography on the repository side, and the circuit, the certificate, and the source all carry attestations that survive a handoff to a regulator or a journal. Drive any of it from Hermes, OpenClaw, Codex, Claude Code, or ChatGPT, or let it run fully autonomously with no local agent setup at all through dynamic MCP.

Why this lands in 2026

Life sciences is the sharpest case. Quantum chemistry still has no accepted community benchmarks for the accuracy a regulatory submission demands, while GMP and GLP both expect traceability and provenance for every computation in the file. Cleveland Clinic and IBM published a hybrid quantum-classical workflow simulating the electronic structure of the 303-atom Trp-cage miniprotein in March, and IBM set 2026 as its target for verified quantum advantage. The same reviewer question is waiting for every team shipping artificial intelligence healthcare pipelines and every quant desk pushing artificial intelligence financial services models into production: show me that it checks. Scientific computing has spent years answering that with a zip file and a hopeful README. A replayable certificate answers it in a form that survives peer review, an audit, and a vendor handoff.

Quantum simulation tooling is plentiful, and most life sciences AI tools stop at an answer. Tooling that produces independently checkable evidence is scarce, and the groups that make certified artifacts their default this year set the expectation everyone else gets held to next year.

Go certify something

Wire it into a workflow, fire it on a webhook, and let your agent hand the next reviewer a certificate instead of an explanation. Quantum Circuit Builder with Proof is on AgentPMT now.