Quantum Computing for Financial Optimization
Leveraging quantum algorithms for portfolio optimization and derivative pricing
Latest News
Paper accepted at Nature Computational Science
Our work on QAOA for portfolio optimization has been accepted for publication.
New PhD position available
We are looking for a PhD student to work on quantum error mitigation for financial applications.
Presentation at IEEE Quantum Week
Team presented latest results on quantum portfolio optimization in Montreal.
IBM Quantum partnership extended
Renewed access to IBM Eagle and Condor processors for another 2 years.
About the Project
Quantum Algorithms
Developing QAOA and VQE algorithms for combinatorial portfolio optimization problems.
Option Pricing
Quantum Monte Carlo methods for faster derivative pricing and risk assessment.
Hybrid Systems
Classical-quantum hybrid architectures for near-term NISQ device deployment.
Hardware Access
Partnerships with IBM Quantum and IonQ for real quantum hardware experiments.
Risk Management
Quantum-enhanced VaR and CVaR calculations for portfolio risk assessment.
Open Research
Qiskit-based tutorials and reproducible experiments for the research community.
Project Timeline
Project Kickoff
Initial team meeting and project planning at FHGR.
First Prototype
Quantum portfolio optimizer running on IBM simulators.
Hardware Experiments
Testing on IBM Eagle 127-qubit processor.
Mid-term Review
Progress presentation to SNF evaluation committee.
Industry Pilot
Deployment with UBS for real portfolio testing.
Project Completion
Final deliverables and technology transfer.
Research Team
M. Zhang
PhD Student
FHGR
E. Kowalski
PhD Student
ETH Zurich
R. Liu
Postdoc
FHGR
C. Steiner
Research Assistant
ZHAW
Research Output
Publications
Quantum Portfolio Optimization with QAOA: A Practical Assessment
Nature Computational Science, 2024
Hybrid Classical-Quantum Algorithms for Option Pricing
QIP 2024, Taipei, 2024
Events
Quantum Finance Workshop 2025
Zurich, Switzerland
Hands-on workshop on quantum algorithms for finance using Qiskit.
IEEE Quantum Week 2024
Montreal, Canada
Presented quantum portfolio optimization results on IBM Eagle processors.
Collaborations
IBM Quantum Network
IBM Research Zurich
Access to 127-qubit Eagle and 1000+ qubit Condor processors for finance experiments.
Industry Partnership
Credit Suisse / UBS
Joint development of quantum risk models for derivatives portfolios.
Academic Network
QFin Consortium
European research network for quantum computing in quantitative finance.
Funding
Swiss National Science Foundation
SNSF Sinergia Grant
CRSII5_200000
EU Quantum Flagship
Horizon Europe QFin
101080000
IBM Quantum
Academic Partnership
Research Credits
Partner Institutions
Contact
Principal Investigator
Prof. Dr. Joerg Osterrieder
Institution
Institute for Digital Finance
FHGR - University of Applied Sciences
Chur, Switzerland
This project has received funding from the Swiss National Science Foundation (SNSF) under Sinergia grant CRSII5_200000 and the EU Quantum Flagship program.