Evaluate quantum and quantum-inspired methods before you adopt them
Start with a defined financial workflow. Compare quantum, quantum-inspired and hybrid approaches against agreed classical baselines before committing to development and integration.
Researchers, AbaQus and customers
Researchers
- Methods and scientific expertise
- Code access and rights agreed for the project
Gain development support and a route to customer validation
AbaQus delivers
- Quantum and quantum-inspired method development
- Benchmarking against your classical baselines
- A runnable, documented workflow
Customers
- A defined workflow and data
- A business sponsor
- Evaluation criteria
Evaluate research on your own workload before adoption
Evaluation, integration and licensing
Each stage depends on demonstrated value and a clear need for further work.
- 01 · Paid evaluationA runnable, documented workflow on your data, with comparative results against agreed classical baselines. Scope, deliverables, success criteria, timeline and fee agreed before work begins.
- 02 · Development and integrationAdapt the evaluated component to your modelling pipeline, with documentation and handover.
- 03 · Software licensingA maintained module or API for repeated use, with support and updates.
Financial workflows we evaluate
Choose a defined workload and agree which comparisons will determine whether a method is useful.
Feature selection
The workloadNoisy, correlated financial inputs that make model development and review harder.
Our approachUse relevance and redundancy formulations to compare classical, quantum, quantum-inspired and hybrid methods for selecting feature subsets.
What we evaluateFeature count, selection stability and downstream model performance on agreed validation data.
The outputA reproducible selection workflow, documented feature sets and comparative results. The InvestDEFY/QAI project provides an example of this work.
See the project workflowPortfolio optimization
The workloadAllocation and rebalancing with risk limits, exposure bounds and trading constraints.
Our approachFormulate an agreed objective and evaluate classical, quantum-inspired and hybrid solver approaches on the same data and constraints.
What we evaluateSolution quality, feasibility, runtime and stability as inputs or constraints change.
The outputA documented optimization workflow and comparative results, showing where each approach fits the agreed problem.
Pricing and risk
The workloadOption valuation, model calibration and risk sensitivities such as Greeks, with valuation adjustments where agreed in scope.
Our approachAssess tensor-network and quantum-inspired numerical methods against agreed classical reference implementations.
What we evaluatePricing and sensitivity accuracy, numerical stability, runtime and memory use on representative cases.
The outputA runnable benchmark, documented assumptions and comparative results showing the trade-offs between accuracy and computational cost.
Scope a paid evaluation
Share the workflow, bottleneck and success criteria. We’ll agree the scope, baselines, deliverables, timeline and fee before work begins.