August 2023

• Introducing a new quantum algorithm for forecasting quantum dynamics using Next Generation Reservoir Computing termed Quantum Next Generation Reservoir Computing (QNG-RC)! (link)

July 2023

• Introducing DP-CDVAE, a diffusion probabilistic model-enhanced variational auto-encoder for realistic crystal structure generative modeling! (link)

June 2023

• Introducing StrainNet: check out our latest proposal on using equivariant graph neural networks for computational materials science here.
• The role of random noise in the brain has been a subject of debate among neuroscientists. We study models of noisy RNNs trained to perform working memory computation, revealing a surprising and counterintuitive role of noise, in collaboration with Terry Sejnowski’s lab. See the preprint here.
• Our work in collaboration with KBTG and QTFT on the usage of near-term quantum devices to solve financial optimization problems (loan collection optimization) appears online in Physical Review Applied (link).

March 2023

• Supanut and Ninnat’s work on Signatures of a sampling quantum advantage in driven quantum many-body systems is published in Quantum Science and Technology (link).
• Paramott and Krai gave virtual talks (link1, link2) at the APS March Meeting 2023.

December 2022

• A preprint on the surprising connection between reinforcement learning and ergodic theory, showing that chaotic learning dynamics can have an emergent time-averaged order that converges to the static solution concepts of game theory e.g. Nash equilibria, is available here (paper, supplementary materials).

September 2022

• A preprint on an alternative and potentially useful approach to quantum control of open systems based on stochastic path integrals now appears online: Quantum state-preparation control in noisy environment via most-likely paths (arXiv)

August 2022

• Our work on An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks is published online in Alzheimer’s Research & Therapy (Springer Nature’s journal) (link)
• NVIDIA DGX Station A100 is now stationed in our lab to fuel AI and quantum simulation research!
• Welcome two new members, Kasidit (Beem) and Dr. Kamonluk (Pui), to our quantum information and algorithm research team!

May 2022

• Our work on Explainable Natural Language Processing with Matrix Product States, which is highlighted on tensornetwork.org as an influential work on tensor network applications for machine learning, is now published in the New Journal of Physics (link).

March 2022

• Wirawat receives a full scholarship to the Perimeter Scholar International (PSI) Program. He’ll continue his graduate study at Perimeter Institute for Theoretical Physics in the Fall 2022, focusing on Quantum Information and Machine Learning. Big congratulations, Wi!
• Pawat’s work on Resistance distance distribution in large sparse random graphs is now published in Journal of Statistical Mechanics: Theory and Experiment (link)
• Our lab will contribute 7 talks at the APS March meeting 2022 (link).

January 2022

• Check out our preprint on unpredictable dynamics in behavioral game theory (arXiv)

December 2021

• 2 preprints on explainable neural networks now appear online:
  • Explainable Natural Language Processing with Matrix Product States (arXiv)
    
  • An Explainable Self-attention Deep Neural Network for Detecting Mild Cognitive Impairment Using Multi-input Digital Clock Drawing Tasks (bioRxiv)

November 2021

• Our work on a quantum algorithm for an unsupervised manifold learning now appears in Physical Review A (link). Apimuk will present this work at Quantum Techniques in Machine Learning 2021 poster session.
• The preprint of our project in collaboration with KBTG and QTFT on the application of a hybrid quantum and classical optimization for finance now appears online (link).

October 2021

• Welcome a new postdoc, Dr. Krai, to our group! With his training in quantum field theory, he’ll apply his strong analytical and numerical computation skills to study complex systems, classical or quantum!
• Dr. Ninnat (Tom) starts his faculty position at the Institute for Fundamental Study, Phitsanulok, Thailand. Congratulations, Tom!

September 2021

• Pawat’s work on The birth of geometry in exponential random graphs now appears in Journal of Physics A: Mathematical and Theoretical (link)

July 2021

• Aj. Ploy’s work on Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore now appears in Nature Biotechnology (link).
• The proceeding of our ICML 2021 paper is published (link).
• Check out our new preprint on Resistance distance distribution in large sparse random graphs (arXiv).

June 2021

• Check out our new preprint on Quantum diffusion map for nonlinear dimensionality reduction (arXiv). Congrats Apimuk, for his first first-author manuscript!
• Pawat is awarded an international scholarship with a full financial support to study in the Master of Science programme in Physics of Complex Systems, hosted by prestigious physics institutions in Italy and France. Congratulations, Pawat!

May 2021

• Wirawat Kokaew, a final year undergraduate student, won the best poster award from the Sixth International Conference for Young Quantum Information Scientists YQIS 2021. Congratulations, Wi!
• Pawat Akarapipattana, a final year undergraduate student, won a full scholarship from ICTP to study in the Quantitative Life Sciences (Complex Systems) diploma program in Trieste, Italy. Congratulations, Pawat!
• Our work on chaotic behaviors of reinforcement learning in game theory is accepted for publication in ICML 2021. (link to the paper)
• Our recent work made it to the Physica A list of top ten  2020—2021 articles that have had the most social media attention.
• Check out students’ final projects from our Machine Learning for Physical Scientists master class here.
• Thip will give an invited talk at Siam Physics Congress (SPC) 2021 on quantum tensor network approach to natural language modeling.

April 2021

• Our undergraduate student, Wirawat Kokaew, co-supervised by Dr. Areeya Chantasri from Mahidol University, gave a poster presentation at the Sixth International Conference for Young Quantum Information Scientists YQIS 2021 on Optimal Control for State Preparation in Open Quantum Systems via Most-likely Paths (link to the poster).

March 2021

• Welcome Dr. Ninnat (Tom) Dangniam to our postdoc team! Tom and colleagues recently proposed a provable quantum computational advantage scheme called Fermion Sampling (link to the work). He’ll help lead quantum computation and algorithms research in our group.
• APS March Meeting 2021 contributed talk in Quantum Machine Learning III session on Explainable Natural Language Processing with Matrix Product States (link to the abstract page)

February 2021

• Check out our new preprint on The birth of geometry in exponential random graphs  (ArXiv)
• Our work on Broken detailed balance and non-equilibrium dynamics in noisy social learning models appears in Physica A: Statistical Mechanics and its Applications (link to the paper)
• Chote gave an invited talk on Symmetry consistent machine learning for material discovery at the 21st International Union of Materials Research Societies -International Conference in Asia (IURMS-ICA 2021)

January 2021

• The proceeding of our NeurIPS 2020 paper is published (link).