Thiparat Chotibut
@thipchotibut.bsky.social
Physicist, Dog-lover, Guitarist / Stat Mech + Machine Learning + Quantum Info = Research Interests / In the land of smiles 🇹🇭🤠😬
Curious about the scalability of analog VQAs that harness particular quantum phases of matter as an ansatz ⚛️? Check out our new study, led by a talented master’s student Kasidit - nice summary thread below.
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🆕 Our work makes a fundamental connection between the phases of matter to expressivity and scalability of analog Variational Quantum Algorithms (VQAs), as well as proposes a scalable practical initialization strategy based on Many-Body Localized (MBL) phase.
(scirate.com/arxiv/2506.1...)
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(scirate.com/arxiv/2506.1...)
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July 6, 2025 at 12:43 PM
Curious about the scalability of analog VQAs that harness particular quantum phases of matter as an ansatz ⚛️? Check out our new study, led by a talented master’s student Kasidit - nice summary thread below.
👇
👇
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Ever wondered how tools from statistical physics can help understand learning in diverse reinforcement-learning populations?
Check out our new PNAS paper (Special Feature: Collective Artificial Intelligence & Evolutionary Dynamics) here pnas.org/doi/10.1073/...
#PNASNews
Ever wondered how tools from statistical physics can help understand learning in diverse reinforcement-learning populations?
Check out our new PNAS paper (Special Feature: Collective Artificial Intelligence & Evolutionary Dynamics) here pnas.org/doi/10.1073/...
#PNASNews
July 1, 2025 at 2:51 PM
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Ever wondered how tools from statistical physics can help understand learning in diverse reinforcement-learning populations?
Check out our new PNAS paper (Special Feature: Collective Artificial Intelligence & Evolutionary Dynamics) here pnas.org/doi/10.1073/...
#PNASNews
Ever wondered how tools from statistical physics can help understand learning in diverse reinforcement-learning populations?
Check out our new PNAS paper (Special Feature: Collective Artificial Intelligence & Evolutionary Dynamics) here pnas.org/doi/10.1073/...
#PNASNews
Check out our latest work spearheaded by a talented master student, Kasidit. See a summary thread below 👇
🆕 Our work makes a fundamental connection between the phases of matter to expressivity and scalability of analog Variational Quantum Algorithms (VQAs), as well as proposes a scalable practical initialization strategy based on Many-Body Localized (MBL) phase.
(scirate.com/arxiv/2506.1...)
🧵[1/10]
(scirate.com/arxiv/2506.1...)
🧵[1/10]
June 25, 2025 at 7:32 AM
Check out our latest work spearheaded by a talented master student, Kasidit. See a summary thread below 👇
Wondering whether simply scaling up system sizes and cranking up chaos really supercharges a quantum reservoir, or if dissipation is really a resource at scale? 🌀
We demystify these QRC myths in our new preprint: [https://scirate.com/arxiv/2505.10080]
🧵 Key takeaways in a great thread below!👇
We demystify these QRC myths in our new preprint: [https://scirate.com/arxiv/2505.10080]
🧵 Key takeaways in a great thread below!👇
Once upon a time a myth in Quantum Reservoir Processing (QRP) goes by “more chaos = richer feature map = better”
Doomed by their own chaotic dynamics, QRP may not scale in the extreme scrambling limit.
Check out our new Star Wa… I mean paper on arxiv: scirate.com/arxiv/2505.1...
Doomed by their own chaotic dynamics, QRP may not scale in the extreme scrambling limit.
Check out our new Star Wa… I mean paper on arxiv: scirate.com/arxiv/2505.1...
May 17, 2025 at 10:56 AM
Wondering whether simply scaling up system sizes and cranking up chaos really supercharges a quantum reservoir, or if dissipation is really a resource at scale? 🌀
We demystify these QRC myths in our new preprint: [https://scirate.com/arxiv/2505.10080]
🧵 Key takeaways in a great thread below!👇
We demystify these QRC myths in our new preprint: [https://scirate.com/arxiv/2505.10080]
🧵 Key takeaways in a great thread below!👇
Published in #PNAS 🎉
Noise isn't just disruptive; it can enhance neural computations, especially in working memory tasks!
Biologically plausible RNNs harnessing noise also operate near the “edge of chaos,” supporting the critical brain hypothesis 🧠✨
Check out 👇
www.pnas.org/doi/10.1073/...
Noise isn't just disruptive; it can enhance neural computations, especially in working memory tasks!
Biologically plausible RNNs harnessing noise also operate near the “edge of chaos,” supporting the critical brain hypothesis 🧠✨
Check out 👇
www.pnas.org/doi/10.1073/...
January 18, 2025 at 5:40 PM
Published in #PNAS 🎉
Noise isn't just disruptive; it can enhance neural computations, especially in working memory tasks!
Biologically plausible RNNs harnessing noise also operate near the “edge of chaos,” supporting the critical brain hypothesis 🧠✨
Check out 👇
www.pnas.org/doi/10.1073/...
Noise isn't just disruptive; it can enhance neural computations, especially in working memory tasks!
Biologically plausible RNNs harnessing noise also operate near the “edge of chaos,” supporting the critical brain hypothesis 🧠✨
Check out 👇
www.pnas.org/doi/10.1073/...
Hey everyone, just wanted to share our new preprint on crystal structure generation (CrystalGRW) is live on arXiv! We’ve been playing with diffusion-based models that treat crystal structures in their “natural domain” (Riemannian manifolds) (like Torus for coords capturing periodicity) and it works!
January 16, 2025 at 11:46 AM
Hey everyone, just wanted to share our new preprint on crystal structure generation (CrystalGRW) is live on arXiv! We’ve been playing with diffusion-based models that treat crystal structures in their “natural domain” (Riemannian manifolds) (like Torus for coords capturing periodicity) and it works!