Search Results - Thanasilp, Supanut

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  1. 1
    Exponential concentration in quantum kernel methods

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

    Published in Nature communications
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  2. 2
    Expressibility and trainability of parametrized analog quantum systems for machine learning applications

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

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  3. 3
    Trainability barriers and opportunities in quantum generative modeling

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

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  4. 4
    Subtleties in the trainability of quantum machine learning models

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

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  5. 5
    Signatures of a sampling quantum advantage in driven quantum many-body systems

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

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  6. 6
    Quantum supremacy and quantum phase transitions

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

    Published in Physical review. B
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  7. 7
    A Unified Framework for Trace-induced Quantum Kernels

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

    Published in arXiv.org
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  8. 8
    Variational quantum simulation: a case study for understanding warm starts

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

    Published in arXiv.org
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  9. 9
    Exponential concentration in quantum kernel methods

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

    Published in arXiv.org
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  10. 10
    Subtleties in the trainability of quantum machine learning models

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

    Published in arXiv.org
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  11. 11
    Qubit-efficient encoding schemes for binary optimisation problems

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

    Published in arXiv.org
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  12. 12
    Quantum supremacy in driven quantum many-body systems

    Quantum supremacy in driven quantum many-body systems by Tangpanitanon, Jirawat, Thanasilp, Supanut, Marc-Antoine Lemonde, Dangiam, Ninnat, Angelakis, Dimitris G

    Published in arXiv.org
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  13. 13
    Quantum supremacy and quantum phase transitions

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

    Published in arXiv.org
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  14. 14
    On fundamental aspects of quantum extreme learning machines

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

    Published in arXiv.org
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  15. 15
    Latent Style-based Quantum GAN for high-quality Image Generation

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

    Published in arXiv.org
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  16. 16
    Expressibility and trainability of parameterized analog quantum systems for machine learning applications

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

    Published in arXiv.org
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  17. 17
    Efficient quantum-enhanced classical simulation for patches of quantum landscapes

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

    Published in arXiv.org
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  18. 18
    Trainability barriers and opportunities in quantum generative modeling

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

    Published in arXiv.org
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  19. 19
    Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing

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

    Published in arXiv.org
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  20. 20
    Quantum supremacy with analog quantum processors for material science and machine learning

    Quantum supremacy with analog quantum processors for material science and machine learning by Tangpanitanon, Jirawat, Thanasilp, Supanut, Marc-Antoine Lemonde, Angelakis, Dimitris G

    Published in arXiv.org
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