Imagine a super-calculator that can solve financial puzzles in seconds that would take today's best computers years to finish. It uses a mix of quantum physics and smart math to predict market risks and price complex investments. The best part is that you don't need to be a physicist to use it; it works like a standard app for finance pros.
Financial institutions struggle with the extreme computational cost and time required to price complex derivatives and manage risk in high-dimensional markets using classical computers.
A quantum software toolkit featuring a Quantum Monte Carlo SDK and deep pricing methodologies for derivatives and portfolio valuation.
If you are a Tier-1 Investment Bank dealing with slow derivative pricing, this project developed a deep pricing methodology that increases speed and efficiency up to 15,000x compared to traditional Monte Carlo methods. This allows for near-instantaneous pricing of complex financial instruments.
If you are a Hedge Fund dealing with high-dimensional portfolio valuation, this project developed a tensor network-enhanced deep learning tool. It provides more accurate Swaption pricing and better investment optimization than standard classical methods.
If you are a National Central Bank dealing with global financial instability, this project developed a QUBO-based quantum approach for analyzing network stability. This helps in monitoring and improving the stability of global financial markets.
Based on available project data, specific pricing plans are not listed, but the project was supported by a EUR 2,500,000 EU contribution to develop the proprietary algorithms.
Yes, the toolkit has been tested in proof-of-concept trials with leading financial institutions using real quantum computers and is designed to integrate into standard financial software.
The toolkit contains proprietary quantum and quantum-inspired algorithms developed by Multiverse Computing SL. Licensing details are not explicitly provided in the report.
Integration is seamless because the toolbox autonomously handles data preprocessing, meaning quantitative staff can use it without specialized quantum computing training.
The project period ran from 2022-09-01 to 2024-12-31, indicating the tools have been developed and tested through the end of 2024.
The project is highly concentrated, led by a single Spanish SME, Multiverse Computing SL, with a 100% industry ratio. This lean structure suggests a strong focus on commercialization and rapid product iteration rather than academic research, leveraging the SME's agility to dominate the quantum finance niche.
Contact Multiverse Computing SL in Spain
Contact us to explore licensing or implementation of the SINGULARITY toolkit.
