Entangle develops quantum-inspired models for data analysis, time-dependent systems, and predictive decision support in business, finance, and applied research.
Observable Modeling for Large Data
We develop models of observables in large datasets, including time series, enabling the detection of hidden patterns and dependencies often overlooked by classical methods.
Time Evolution Modeling of Parameters
We analyze how key parameters in datasets evolve over time, providing better understanding of trends and dynamics in economic and business processes.
Quantum Algorithms in Data Analysis
We leverage quantum algorithms to process economic, financial, and business data, allowing faster and more accurate solutions for computationally complex problems.
Predictive Models
We build predictive models enhanced by quantum algorithms, delivering more precise forecasts and superior risk management compared to traditional approaches.
Public Code
- QuantumSurveyRegressor — GitHub repository
QuantumSurveyRegressor is a public Python library for quantum-inspired analysis of survey responses. It fits complex-valued amplitude-phase coefficients, identifies constructive and destructive interference between survey questions, and reports standard goodness-of-fit metrics for predictive modeling workflows.
Contact: i@entangle.pl