HSBC breaks new ground in quantum-enabled algorithmic trading with IBM quantum computers
News
Robert Davis
Quantum Finance
Few datasets are as complex as those in finance, and quantum computing could reveal hidden patterns in complex data. We’re developing algorithms to reveal once-invisible dynamic arbitrage opportunities, better react to volatility, and serve other crucial unmet needs in the financial sector.
Our work
Publications
Challenges and opportunities in quantum optimization
- Amira Abbas
- Andris Ambainis
- et al.
- 2024
- Nature Reviews Physics
A More General Quantum Credit Risk Analysis Framework
- Emanuele Dri
- Antonello Aita
- et al.
- 2023
- Entropy
Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
- Christa Zoufal
- Ryan V. Mishmash
- et al.
- 2023
- Quantum
Credit Risk Analysis Using Quantum Computers
- Daniel J. Egger
- Ricardo Garcia Gutierrez
- et al.
- 2021
- IEEE TC
Efficient State Preparation for Quantum Amplitude Estimation
- Almudena Carrera Vazquez
- Stefan Woerner
- 2021
- Physical Review Applied
Quantum Computing for Finance: State-of-the-Art and Future Prospects
- Daniel Egger
- Claudio Gambella
- et al.
- 2020
- IEEE TQE
Tools + code
Qiskit Finance
An open-source framework that contains uncertainty components for stock/securities problems, Ising translators for portfolio optimizations and data providers to source real or random data to finance experiments.
View project →
