Exponential concentration in quantum kernel methods von Thanasilp, Supanut, Wang, Samson, Cerezo, M., Holmes, Zoë

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Expressibility and trainability of parametrized analog quantum systems for machine learning applications von Tangpanitanon, Jirawat, Thanasilp, Supanut, Dangniam, Ninnat, Lemonde, Marc-Antoine, Angelakis, Dimitris G.

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Trainability barriers and opportunities in quantum generative modeling von Rudolph, Manuel S., Lerch, Sacha, Thanasilp, Supanut, Kiss, Oriel, Shaya, Oxana, Vallecorsa, Sofia, Grossi, Michele, Holmes, Zoë

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Qubit-efficient encoding schemes for binary optimisation problems von Tan, Benjamin, Lemonde, Marc-Antoine, Thanasilp, Supanut, Tangpanitanon, Jirawat, Angelakis, Dimitris G.

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Subtleties in the trainability of quantum machine learning models von Thanasilp, Supanut, Wang, Samson, Nghiem, Nhat Anh, Coles, Patrick, Cerezo, Marco

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Signatures of a sampling quantum advantage in driven quantum many-body systems von Tangpanitanon, Jirawat, Thanasilp, Supanut, Lemonde, Marc-Antoine, Dangniam, Ninnat, Angelakis, Dimitris G

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Quantum supremacy and quantum phase transitions von Thanasilp, Supanut, Tangpanitanon, Jirawat, Lemonde, Marc-Antoine, Dangniam, Ninnat, Angelakis, Dimitris G.

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A Unified Framework for Trace-induced Quantum Kernels von Gan, Beng Yee, Leykam, Daniel, Thanasilp, Supanut

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Variational quantum simulation: a case study for understanding warm starts von Puig, Ricard, Drudis, Marc, Thanasilp, Supanut, Holmes, Zoë

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Latent Style-based Quantum GAN for high-quality Image Generation von Chang, Su Yeon, Thanasilp, Supanut, Saux, Bertrand Le, Vallecorsa, Sofia, Grossi, Michele

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Exponential concentration in quantum kernel methods von Thanasilp, Supanut, Wang, Samson, Cerezo, M, Holmes, Zoë

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Efficient quantum-enhanced classical simulation for patches of quantum landscapes von Lerch, Sacha, Puig, Ricard, Rudolph, Manuel S, Angrisani, Armando, Jones, Tyson, Cerezo, M, Thanasilp, Supanut, Holmes, Zoë

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On fundamental aspects of quantum extreme learning machines von Xiong, Weijie, Facelli, Giorgio, Sahebi, Mehrad, Agnel, Owen, Chotibut, Thiparat, Thanasilp, Supanut, Holmes, Zoë

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Trainability barriers and opportunities in quantum generative modeling von Rudolph, Manuel S, Lerch, Sacha, Thanasilp, Supanut, Kiss, Oriel, Vallecorsa, Sofia, Grossi, Michele, Holmes, Zoë

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A Unified Framework for Trace-induced Quantum Kernels von Gan, Beng Yee, Leykam, Daniel, Thanasilp, Supanut

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A Review of Barren Plateaus in Variational Quantum Computing von Larocca, Martin, Thanasilp, Supanut, Wang, Samson, Sharma, Kunal, Biamonte, Jacob, Coles, Patrick J, Cincio, Lukasz, McClean, Jarrod R, Holmes, Zoë, Cerezo, M

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Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing von Cerezo, M, Larocca, Martin, García-Martín, Diego, Diaz, N. L, Braccia, Paolo, Fontana, Enrico, Rudolph, Manuel S, Bermejo, Pablo, Ijaz, Aroosa, Thanasilp, Supanut, Anschuetz, Eric R, Holmes, Zoë

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Variational quantum simulation: a case study for understanding warm starts von Puig, Ricard, Drudis, Marc, Thanasilp, Supanut, Holmes, Zoë

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Exponential concentration in quantum kernel methods von Thanasilp, Supanut, Wang, Samson, Cerezo, M, Holmes, Zoë

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Subtleties in the trainability of quantum machine learning models von Thanasilp, Supanut, Wang, Samson, Nghiem, Nhat A, Coles, Patrick J, Cerezo, M

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