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quant-ph2026
Generative Quantum Data Embeddings for Supervised Learning
Jaewoong Heo, Daniel K. Park
Many practically relevant applications of quantum machine learning involve classical data, for which performance depends critically on how inputs are embedded into quantum states.…
quant-ph2026
Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations
Chanyoung Kim, Myeonghwan Seong, Yujin Kim +2
Partial differential equations (PDEs) are central to modeling physical and engineering systems, but repeatedly solving parametric PDEs remains computationally expensive. Operator l…