Quantum Financial Analytics

Quantum Financial Analytics

⏱ 6 weeks · advanced | 36 learning hours

Overview

Bridge quantum computing and quantitative finance. Master algorithms for portfolio optimisation, risk modelling, and derivative pricing using quantum circuits and hybrid quantum-classical systems.

Core modules

    • Foundations of quantum computing (qubits, superposition, entanglement) for finance
    • Quantum Fourier transform & amplitude estimation in asset pricing
    • Variational quantum eigensolver (VQE) for risk factor analysis
    • Quantum Monte Carlo for derivative pricing and VaR
    • Portfolio optimisation using QAOA and quantum annealing
    • Fraud detection & pattern matching with quantum kernel methods
    • Hybrid workflows: Qiskit, Pennylane, and classical backends
    • Case studies: high-frequency trading simulation, climate risk analytics

Tools & platforms

IBM Qiskit
Amazon Braket
Pennylane
Python (NumPy/SciPy)
Q#

Capstone project

Build a quantum-enhanced asset allocation model and benchmark against classical methods.


Starting Date: 4th July 2026
Course Fee: £2990

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