Solve real problems with
quantum-classical algorithms.

Eight problem domains. Five algorithms. Live convergence streaming. Bring a CSV or a Hamiltonian — QuantumGPT figures out the right circuit, runs it on the optimal backend, and streams progress to your Jobs panel.

Start in QuantumGPTor pick a problem type below to start with a sample prompt

algorithms supported|VQE · ground statesQAOA · combinatorial optimizationVQC · variational classificationQNN · quantum neural networksQML · regression and clustering

[ problem types · pick one to start ]

[ how it works ]

Bring your problem

Upload a CSV, paste a Hamiltonian, or describe it in plain English to QuantumGPT.

AI generates the circuit

Qubital detects the problem type, picks an algorithm (VQE / QAOA / VQC / QNN / QML), and builds the ansatz.

Live convergence

Watch energy / loss decrease iteration by iteration in the Jobs panel. Auto-routed to the cheapest backend.

standalone configure-and-submit flow coming soon · for now QuantumGPT drives the optimizersee active optimizer jobs

Solve real problems with
quantum-classical algorithms.

Chemistry

Time Series

Portfolio

Classification

Combinatorial

Regression

Anomaly Detection

Clustering

Bring your problem

AI generates the circuit

Live convergence

Solve real problems withquantum-classical algorithms.

Chemistry

Time Series

Portfolio

Classification

Combinatorial

Regression

Anomaly Detection

Clustering

Bring your problem

AI generates the circuit

Live convergence

Solve real problems with
quantum-classical algorithms.