An AI-powered, interactive platform that teaches Quantum Machine Learning from first principles to real research — bridging Artificial Intelligence, classical ML, and quantum computing through visualizations, simulations, coding labs, and a personal AI tutor, in one learning ecosystem.
Most learners hit a wall between "I understand qubits" and "I can build a quantum model." Very few resources bridge AI, classical ML, and quantum computing in one continuous path.
Structured, project-based learning: every concept moves from theory → visualization → code → execution → analysis, on real frameworks and real quantum hardware.
A single ecosystem combining a drag-and-drop circuit simulator, 3D visualizations, adaptive quizzes, and an AI-powered quantum tutor available at every step.
To democratize Quantum Machine Learning education — open-source, accessible, and practical for students, educators, and researchers alike.
An optional math & code primer, then a straight line from "what is AI?" to a full research capstone. Click a level to see its modules.
The full syllabus this site is built to host — tutorials, notebooks, and problem sets will attach to each card as they go live.
Vectors, matrices, tensor products, eigenvalues.
Amplitudes, phases, and bra-ket notation.
Array operations and plotting for every lab ahead.
History, types, applications, and the future of AI.
From rule-based programming to learning from data.
Regression, classification, trees, SVMs, neural nets.
Qubits, superposition, entanglement, quantum advantage.
Gates, circuits, the Bloch sphere, and measurement.
AI vs Machine Learning vs Quantum Computing.
Hybrid quantum-classical computing and the research landscape.
Complexity, high-dimensional spaces, quantum parallelism.
Basis, angle & amplitude encoding, feature maps.
VQC, QSVM, QNN, quantum kernels, quantum PCA.
Classical ML vs Quantum ML, benchmarked side by side.
Healthcare, finance, cybersecurity, climate, materials, NLP.
Quantum RL, generative models, graph neural networks.
Reading papers, benchmarking, responsible AI & QC.
A complete, documented QML application on real hardware.
Beyond the curriculum: the interactive tools that turn each module from something you read into something you build, run, and get feedback on.
Drag-and-drop circuit builder with state-vector visualization, measurement results, and multi-qubit support.
Open tool →A Bloch sphere explorer, superposition and entanglement animations, and state-evolution playback.
Open tool →Free, zero-cost tutor answering questions from every module — no API key, runs entirely in your browser.
Open tool →Every concept flows Concept → Code → Execute → Visualize → Analyze in an executable notebook.
Browse notebooks →Multiple-choice, coding challenges, and circuit-building exercises with instant, difficulty-adjusted feedback.
Completion percentage, quiz scores, coding progress, skill achievements, and learning streaks in one view.
Run your circuits on IBM Quantum hardware, compare against simulator results, and monitor jobs live.
Experiment with QNNs, VQCs, QSVMs, kernel methods, quantum PCA, and autoencoders against benchmark datasets.
Paper summaries, open research problems, benchmark datasets, and a citation library for advanced learners.
XP, achievement badges, learning streaks, leaderboards, and certificates of completion.
Lecture slides, teaching notes, assignment templates, quiz banks, and lab manuals ready to reuse.
Responsive, dark/light themes, an open-source GitHub repo, discussion forums, and a project showcase.
This site is built to host the full library as each module ships — notebooks, video walkthroughs, datasets, and challenge projects, indexed against the roadmap above.
Step-by-step lessons with runnable PennyLane / Qiskit notebooks embedded inline.
Coming SoonDownloadable Jupyter notebooks for every module, from the Bloch sphere to QCNNs.
8 Available Browse all notebooks →Curated datasets for QML experiments, with baseline classical comparisons.
Coming SoonOriginal builds like the Barren Plateau Escape Room and Ansatz Breeding Ground.
Coming Soon