Challenges and opportunities in quantum optimization
- Amira Abbas
- Andris Ambainis
- et al.
- 2024
- Nature Reviews Physics
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.
Publications
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 →
