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Academy · Flagship course

Quantum
Finance

One of the first courses of its kind: a cutting-edge research area where physics, mathematics, finance, quantum computing and machine learning meet.

Why this course

A field few people can teach

Quantum finance is being explored by research teams at some of the world’s largest banks. It demands fluency in stochastic calculus, derivative pricing and quantum algorithms at once — a combination rarely found in one person, and almost never in one course.

Curriculum

On the board

  1. 01

    Financial mathematics

    Stochastic processes, Itô calculus and the Black–Scholes framework.

  2. 02

    Derivatives and hedging

    Option pricing, the Greeks and delta hedging, including FX options.

  3. 03

    Quantum computing for finance

    Encoding distributions in quantum states; amplitude estimation and its speed-up.

  4. 04

    Quantum optimization

    Portfolio optimization with variational and walk-based quantum algorithms.

  5. 05

    Quantum machine learning

    Parameterized circuits and learning models for financial data.

  6. 06

    Hands-on

    Implementing pricing and optimization workflows in Qiskit.

Who it is for

For serious minds

  • Quants, risk professionals and financial engineers
  • Physicists and mathematicians moving into finance
  • Graduates of the introductory quantum course
Level
Advanced
Format
Online lectures, derivations and code
Language
English
Prerequisites
Quantum mechanics basics, calculus, probability

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