feature extraction 1quantum hardware implementation 1quantum topological data analysis 1spectral moments 1time series classification 1
From the 1 of 3 linked papers with an AI index.
3 papers
quant-ph2026
Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis
Jason Iaconis, Sayonee Ray, Samwel Sekwao +2
The paper proposes a practical quantum algorithm that extracts low‑order spectral features from the combinatorial Laplacian for topological data analysis, demonstrating improved pe…
quant-ph2026
Measuring what matters: A scalable framework for application-level quantum benchmarking
Willie Aboumrad, Claudio Girotto, Joshua Goings +16
As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metri…
quant-ph2025
End-to-End Demonstration of Quantum Generative Adversarial Networks for Steel Microstructure Image Augmentation on a Trapped-Ion Quantum Computer
Samwel Sekwao, Jason Iaconis, Claudio Girotto +6
Generative adversarial networks (GANs) are a machine learning technique capable of producing high-quality synthetic images. In the field of materials science, when a crystallograph…