Use Cases

Finance

Quantum-Ready simulation for modern Financial Engineering

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Modern finance relies on complex mathematical models to price derivatives, optimize portfolios, and manage risk under uncertainty.

With ColibriTD’s hybrid quantum-classical platform QUICK, financial institutions can accelerate computations, explore higher-dimensional problems, and prepare for the quantum advantage, all without relying on large datasets.
Learn more about our solution QUICK

1.
Complex Derivatives Pricing

Exotic financial instruments require solving generalized Black–Scholes PDEs in high-dimensional spaces. Traditional methods can be slow or fail to capture complex payoff structures.

H-DES efficiently solves multidimensional PDEs, estimating both price and sensitivities of complex derivatives.

Impact

Gain time

Faster pricing and calibration times

Gain precision

Improve precision on volatility surfaces

Increase complexity

Ability to price sophisticated or complex-geometry derivatives previously out of reach

2.
Portfolio Optimization and Dynamic Capital Allocation

Asset managers face high-dimensional, constrained, multi-objective optimization problems to maximize risk-adjusted returns, comply with regulations, and account for liquidity, sector exposure, or budget constraints.

H-DES solves constrained multi-objective optimization problems, identifying Pareto-optimal portfolios. Hybrid algorithms accelerate convergence and explore solution spaces more thoroughly, including time-dependent and market-sensitive allocations.

Impact

Gain time

Significant reduction in     computation time, enabling faster decision-making

Increase scope

Broader exploration of risk-return trade-offs

Improve performance

Improved risk-adjusted performance of portfolios

3.
Market Dynamics Modeling and Pricing under uncertainty

Interest rates, currency fluctuations, and structured product dynamics are governed by coupled stochastic differential equations, often with multiple time-dependent parameters.

Solve coupled stochastic PDEs efficiently, enabling rapid scenario testing and stress analysis.

Impact

Increase scope

Better exploration of extreme     market scenarios

Minimize risk

Reduced risk of model underestimation

Decision support

Decision support for risk management and strategic planning