167 citations
- A. Melnikov6 profiles21 · h 23
- V. Vinokur11 · h 45
- A. Sagingalieva2 profiles10 · h 10
- Valerii M. Vinokur10 · h 7
- K. Nielsch2 profiles8 · h 72
- M. Pflitsch8 · h 11
- Tommaso Confalone8 · h 7
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- Mohammad Kordzanganeh7 · h 9
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- Florian Neukart6 · h 17
- G. Gu2 profiles6 · h 36
- Leibniz Institute for Solid State and Materials ResearchDE8 papers
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- University of Naples Federico IIIT8 papers
- Brookhaven National LaboratoryUS6 papers
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- Moscow Institute of Physics and TechnologyRU5 papers
- SwissScientific Technologies (Switzerland)CH4 papers
- University of PerugiaIT4 papers
- Aalto UniversityFI3 papers
- Federico II University HospitalIT3 papers
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Showing 2026Show all
3 papers · 1 filter
quant-ph2026★ 1 cited
Shot-based quantum encoding: a data-loading paradigm for quantum neural networks
Basil Kyriacou, Viktoria Patapovich, Maniraman Periyasamy +1
Efficient data loading remains a bottleneck for near-term quantum machine learning. Existing schemes (angle, amplitude, and basis encoding) either underuse the exponential Hilbert-…
cs.LG2026
A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing
Alix Benoit, Toni Ivas, Mateusz Papierz +3
High-fidelity simulations of laser welding capture complex thermo-fluid phenomena, including phase change, free-surface deformation, and keyhole dynamics, however their computation…
cond-mat.mtrl-sci2026★ 1 cited
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials
G. Laskaris, D. Morozov, D. Tarpanov +6
Allegro is a machine learning interatomic potential model designed to predict atomic properties in molecules using E(3) equivariant neural networks. When training this model, there…