no code implementations • 16 Dec 2021 • Jirawat Tangpanitanon, Chanatip Mangkang, Pradeep Bhadola, Yuichiro Minato, Dimitris G. Angelakis, Thiparat Chotibut
Despite empirical successes of recurrent neural networks (RNNs) in natural language processing (NLP), theoretical understanding of RNNs is still limited due to intrinsically complex non-linear computations.
no code implementations • 12 Jul 2021 • Beng Yee Gan, Daniel Leykam, Dimitris G. Angelakis
The data-embedding process is one of the bottlenecks of quantum machine learning, potentially negating any quantum speedups.
no code implementations • 11 Dec 2020 • Supanut Thanasilp, Jirawat Tangpanitanon, Marc-Antoine Lemonde, Ninnat Dangniam, Dimitris G. Angelakis
Demonstrating the ability of existing quantum platforms to perform certain computational tasks intractable to classical computers represents a cornerstone in quantum computing.
Quantum Physics Disordered Systems and Neural Networks Quantum Gases Statistical Mechanics