|ψ⟩ = α|0⟩ + β|1⟩U(θ, φ, λ) = RZ(φ) RX(-π/2) RZ(θ) RX(π/2) RZ(λ)H = -∑ J_{ij} σ_i^z σ_j^z - h ∑ σ_i^xCNOT |ab⟩ = |a, a ⊕ b⟩⟨ψ|ψ⟩ = |α|² + |β|² = 1S(ρ) = -Tr(ρ log ρ)QFT |x⟩ = 1/√N ∑ e^{2πixk/N} |k⟩⟨φ|ψ⟩ = Σ φᵢ* ψᵢρ = |ψ⟩⟨ψ|P(|1⟩) = |β|²Grover: O(√N)E(|ψ⟩) = ⟨ψ|H|ψ⟩
|ψ⟩ = α|0⟩ + β|1⟩U(θ, φ, λ) = RZ(φ) RX(-π/2) RZ(θ) RX(π/2) RZ(λ)H = -∑ J_{ij} σ_i^z σ_j^z - h ∑ σ_i^xCNOT |ab⟩ = |a, a ⊕ b⟩⟨ψ|ψ⟩ = |α|² + |β|² = 1S(ρ) = -Tr(ρ log ρ)QFT |x⟩ = 1/√N ∑ e^{2πixk/N} |k⟩⟨φ|ψ⟩ = Σ φᵢ* ψᵢρ = |ψ⟩⟨ψ|P(|1⟩) = |β|²Grover: O(√N)E(|ψ⟩) = ⟨ψ|H|ψ⟩
    QQ
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    Curriculum Lab

    Learning Hub

    Mix theory, intuition, and hands-on practice. Start with core quantum mechanics, deepen with algorithm guides, and bridge to production-ready SDKs.

    Core curriculum

    Three pillars take you from fundamentals to algorithm design. Each card opens a structured module with theory notes, implementation labs, and progress tracking.

    Foundations
    Mathematical toolkit, postulates, and noise models that underpin quantum information.
    Explore module
    Quantum Circuits & Gates
    Design, optimisation, and compilation of quantum circuits.
    Explore module
    Quantum Algorithms
    From textbook speedups to variational and fault-tolerant protocols.
    Explore module

    Application studios

    Follow these tracks once the foundations click. Each programme blends domain theory with implementation sprints and capstone projects.

    Quantum Chemistry
    Electronic structure, reaction pathways, and materials simulation.
    Explore module
    Quantum Finance
    Monte Carlo acceleration and portfolio optimisation.
    Explore module
    Quantum Machine Learning
    Feature maps, kernels, and hybrid differentiable models.
    Explore module
    Quantum Dynamics Simulation
    Real- and imaginary-time dynamics for physics and materials.
    Explore module

    Practical stacks

    Stay productive by mastering the leading quantum SDKs.

    Qiskit
    IBM's quantum SDK for circuit design, transpilation, and hardware execution.
    Intro notebook
    Provider setup
    Algorithm gallery
    PennyLane
    Hybrid quantum-classical ML workflows with differentiable programming.
    Quickstart
    Templates
    VQE guide
    Cirq
    Google's framework for NISQ-era experiments on custom hardware.
    Hello Cirq
    Noise simulation
    Quantum data sets

    Masters-level roadmap

    A suggested year-long journey combining the core curriculum, application studios, and community milestones.

    Quarter 1 – Foundations & circuits
    Mathematical grounding, single-qubit mastery, simulator tooling.
    • Complete foundational modules
    • Implement a mini statevector simulator
    • Deliver short reports on measurement theory.
    Quarter 2 – Algorithms & variational methods
    Core quantum algorithms, variational techniques, benchmarking.
    • Notebook portfolio of Grover/QFT implementations
    • Comparative study of VQE ansätze
    • Weekly syncs with applied mentors.
    Quarter 3 – Application deep dive
    Choose chemistry, finance, ML, or dynamics; build domain expertise.
    • Project proposal + design doc
    • Run target workloads on hardware or simulators
    • Present interim findings to the community.
    Quarter 4 – Capstone & publication
    Polish application results, write thesis-style report, open-source assets.
    • Capstone paper & repo
    • Public talk / demo day
    • Plan post-program contributions (research, product, teaching).