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Product Descriptions
Why use quantum in finance?
The financial industry relies heavily on complex calculations for analysis, prediction, and optimization.
As the amount and complexity of financial data increase, traditional high-performance computers are reaching their limits.
Quantum computing offers a transformative solution, and finance is expected to be one of the first industries to take advantage of its benefits.
Financial API: Specialized expertise as needed
Derivatives and volatility surfaces
Portfolio optimization using Maxeler / LPU + MILP
Quartic volatility surface.
Spot volatility dynamics.
Hybrid local volatility model. MC+PDE
Trade pairing constraints – hardware with realistic execution limitations and holding capacities
Accelerated (large-scale QUBO matrix/MILP-based) portfolio optimization
Complex Portfolios, Simple Solutions:
Quantum and Quantum-Inspired Financial Intelligence
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- Quantum solution platform with a Python SDK and REST API interface
- Fintech-dedicated solutions
- Consulting and PoC (Proof of Concept) development
- Fault-tolerant quantum computing
- Fusion of classical computing and quantum technology
- Quantum-inspired algorithms
- Quantum Machine Learning (QML)
- Quantum Reinforcement Learning (QRL)
- Quadratic Unconstrained Binary Optimization (QUBO)
- Mixed-Integer Linear Programming (MILP)
- Portfolio optimization
- Synthetic data
- Post-quantum security
- Credit risk analysis
- Refined derivative pricing
- Risk engine
- Enhanced fraud detection
- Straight-through processing (STP) optimization
- Volatility surface modeling
- Dynamic correlation and copula models
- Quantum federated learning (QFL/QML)
- Optimal basket execution using market impact models
- Low-latency and high-frequency trading (HFT) systems: DMA+BoE data mining, tick-accurate backtesting, LOB impact
Key Financial Applications
Benefiting from FTQC
Optimal execution
Reduces market impact and enhances effective liquidity to strengthen trading strategies.
Portfolio Optimization with Realistic Constraints
Manages complex portfolios with numerous constraints using a quantum solution that leverages only hundreds of logical qubits, significantly improving asset allocation and risk management.
Interbank Settlement Reordering (STP)
Streamlines payment processing and optimizes interbank transactions while reducing liquidity requirements through precise combinatorial optimization.
Quantum Machine Learning (QML) on Real-World Datasets
NISQ solutions can only handle limited-size datasets. With FTQC becoming a reality, we can now work with meaningful datasets that include images, short videos, and millions of rows of data.
Comprehensive XVA Pricing
Leverages quantum capabilities for complex risk evaluations—such as credit, debit, funding, and capital valuation adjustments (XVA)—essential for multi-stage Monte Carlo processes in financial risk management.
Advancements in QML and Quantum Reinforcement Learning (QRL)
AI and machine learning applications, such as anomaly detection and few-shot learning, still face limitations due to data scarcity. Quantum machine learning offers promising solutions, especially for learning from limited or simulated data, and quantum reinforcement learning is expected to significantly enhance inventory management and rapid re-hedging in scenarios requiring real-time adjustments.
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Large-scale Fallen Angels credit scoring using Singularity.
(Quantum-inspired / Tensor network)
Complete your quantum journey with quantum-inspired solutions together with Multiverse Computing today.
- CompactifAI reduces the scale of LLM/AI models by over 10x
- Leverage Singularity for QiML (Quantum-inspired ML) and optimization
Our quantum algorithms are developed on QPerfect MimiQ, the world's most powerful virtual quantum computer.
- FTQC and performance training with QPerfect
- Quantum education with QTFT
High-performance computing solutions in collaboration with Maxeler and Insight Softmax