Preprint
Jul 2026
Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis
Topological data analysis (TDA) provides a powerful framework for extracting information about the shape of complex, unstructured data, but the classical cost of computing high dimensional topological features limits its application. Quantum algorithms for TDA offer a route around this bottleneck, yet existing approach...
Jason Iaconis, Sayonee Ray, Samwel Sekwao et al.
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