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Private Beta

Verified Qiskit.
Not guesses.

GrayGate runs your quantum code through simulation before you see it. If it doesn't pass, you don't get broken output.

View Leaderboard
92.7%
Pass Rate
63
Requests
3
Beta Users
10k
Tokens
Graygate
THE PROBLEM

Quantum code is hard to trust

When your circuit compiles but produces garbage distributions, you've already lost an afternoon. Current AI tools make this worse, not better.

Bugs that run

A wrong gate doesn't throw an error. It runs, simulates, and gives you counts that look plausible until you realize they're nonsense. Debugging quantum logic is slow because the feedback loop is broken.

Stale training data

Qiskit 1.0 broke half the tutorials online. LLMs trained on 2021 examples still suggest execute() instead of run(). The API moves faster than model weights update.

No execution check

ChatGPT predicts the next likely token. It doesn't run your circuit. It doesn't know if the output compiles, let alone if the simulation produces valid Bell state correlations.

COMPARISON

How it's different

GrayGate isn't another autocomplete. It's a verification system that happens to generate code.

Capability Copilot / Cursor Raw Gemini GrayGate
Qiskit 2.0 API knowledge Partial ✓ Built-in
Executes generated code ✓ On Aer
Verifies output correctness ✓ Gates
Retries on failure ✓ Auto
Pass rate (151 tasks) ~15% ~55% 91.6%
THE ARCHITECTURE

A 12-stage reliability pipeline

GrayGate wraps code generation in retrieval, planning, and verification gates. Code only ships if simulation passes.

Pipeline Flow

1
Input Normalization → UserRequest
2
Intent Parsing → IntentSpec
RETRY LOOP (Parts 3-9)
3A
Query Planning → RetrievalPlan
3B
Retrieval → ContextBundle
3C
Reference Match → Examples
4
Planning → ExecutionPlan
5
Code Generation → GeneratedOutput
6 Static Gate
7 Runtime Gate
Reference Verify → Fidelity Check
8 Failure Analysis 9 Retry Decision
10
Output Assembly → FinalOutput + Report
✓ VERIFIED

Example Output

bell_state.py ✓ Passed
from qiskit import QuantumCircuit
from qiskit_aer import AerSimulator

qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()

sim = AerSimulator()
result = sim.run(qc).result()
counts = result.get_counts()

Verification Report

Static Gate Pass
Runtime Gate Pass
Reference Verify Fidelity: 1.000
Acceptance Test Matched
Counts: {'00': 512, '11': 512}

Key insight: The runtime gate executes on Qiskit Aer and checks that output matches the acceptance test defined during planning. Wrong distributions = no output.

BENCHMARKS

Qiskit-HumanEval-Hard

151 quantum programming tasks. GrayGate's verification wrapper more than doubles the pass rate of its base model.

GrayGate (Gemini 3.0 Flash)
91.6%
Gemini 3.0 Flash (base)
55.6%
138 / 151 tasks 84 / 151 tasks
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+31.7pp
Lead over #2
27
Exclusive Solves
98%
Hard Task Rate
$0.009
Per Task Cost
TEAM

Founder

Building tools for the next decade of quantum development.

Wyatt Greene

Wyatt Greene

Founder

Building the verification engine and developer experience.

Longmont, CO

Design Partners

Looking for labs, startups, and educators to validate workflows.