Objective
Financial institutions face increasing pressure to manage complex portfolios and rapidly evolving market conditions. Traditional risk modelling methods, such as Monte Carlo simulations and lattice-based models, are too slow and resource intensive to provide near real-time insights. Monte Carlo simulations require 10,000-1m paths on high-performance computing clusters, while lattice models face exponential memory growth and inefficient parallelisation. This limits the ability of financial institutions to respond rapidly to market volatility, exposing them to financial and operational risks.
Our solution is finQbit—a platform powered by our proprietary Quantum Binomial Tree algorithm, enabling Quantum Monte Carlo simulations with quadratic convergence. By efficiently encoding all pricing paths into quantum amplitudes, finQbit reduces simulation requirements by 100-1,000x: 10,000 classical Monte Carlo simulation paths are matched by just 100 quantum paths, and 1,000,000 by 1,000. In addition, our Quantum Binomial Tree algorithm drastically reduces the logical qubit requirement from >8,000 in competing approaches to just 100-200 qubits. This makes millions of daily derivative-pricing runs feasible with greater accuracy on current and near-term quantum hardware with a low number of logical qubits. As a result, institutions can refresh their risk metrics in near real time, respond more quickly to market movements, and optimise capital allocation with greater precision.
Fields of science (EuroSciVoc)
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.4.1 - Widening participation and spreading excellence
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-CSA - HORIZON Coordination and Support Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-WIDERA-2025-02
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
20-634 Lublin
Poland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.