3 papers
q-bio.QM2025
Quantum Cognition Machine Learning for Forecasting Chromosomal Instability
Giuseppe Di Caro, Vahagn Kirakosyan, Alexander G. Abanov +11
The accurate prediction of chromosomal instability from the morphology of circulating tumor cells (CTCs) enables real-time detection of CTCs with high metastatic potential in the c…
q-fin.ST2025
Supervised Similarity for Firm Linkages
Ryan Samson, Adrian Banner, Luca Candelori +9
We introduce a novel proxy for firm linkages, Characteristic Vector Linkages (CVLs). We use this concept to estimate firm linkages, first through Euclidean similarity, and then by…
q-fin.ST2025
Supervised Similarity for High-Yield Corporate Bonds with Quantum Cognition Machine Learning
Joshua Rosaler, Luca Candelori, Vahagn Kirakosyan +5
We investigate the application of quantum cognition machine learning (QCML), a novel paradigm for both supervised and unsupervised learning tasks rooted in the mathematical formali…