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20242026
most citedDistributed quantum machine learning via classical communication

8 citations · 11 across the 6 of their papers we have counts for

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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…