Ready to see how quantum tech is shaking up cybersecurity? Don’t miss the next Quantum Connect Webinar Series, brought to you by the American Physical Society in partnership with the Johns Hopkins Science Diplomacy Hub! Jiahui Liu, Ph.D., Senior Researcher at Fujitsu Research of

Conservation laws shape deep thermalization in quantum many-body systems, giving rise to universal wave-function distributions determined by initial charge fluctuations and measurement choices. Rui-An Chang NaturalSciences @ UT CQT go.aps.org/4knUl3D

🔬【Materials Informatics特集 #1】量子コンパイル技術

Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more. msft.it/6011SQwKX

My postdoc work "Unsupervised pretraining in biological neural networks" is out now, along with more than 400GB (milliions neurons) neural data. nature.com/articles/s4158…. Figshare and Github links can be found in the paper.

I am very happy to share Orbformer, a foundation model for wavefunctions using deep QMC that offers a route to tackle strongly correlated quantum states! arxiv.org/abs/2506.19960

We propose Iterative Quantum Feature Maps (IQFMs), which iteratively connect QFMs with classical weights. IQFMs effectively reduces quantum runtime and mitigates noise-induced degradation by incorporating contrastive learning and layer-wise training. arxiv.org/abs/2506.19461

VQA and Riemannian optimization VQA often requires a large number of epochs to achieve convergence. If we took into account the geometry of the quantum state space, could we then optimize in fewer steps, saving quantum resources? arxiv.org/abs/2506.17395

Feedback-driven recurrent quantum neural network universality Familiar authors in theoretical aspects of reservoir computing. arxiv.org/abs/2506.16332

🎉 Great news: Our Machine Learning and Physical Sciences workshop at NeurIPS Conference will be back again this year! 🎉 Keep an eye out for updates on deadlines etc, we will be updating the website soon ml4physicalsciences.github.io #ML4PS2025 Machine Learning And The Physical Sciences

Looking forward to reading!

A big improvement with SqDRIFT

Algorithmic improvements enable a 2 orders of magnitude speedup in fault-tolerant quantum simulations of complex molecules. go.aps.org/45PUBT3

Dynamics-independent bounds on state transformations and precision in open quantum systems arxiv.org/abs/2508.13884

Our article "Quantum curriculum learning" has been published online in Physical Review A. journals.aps.org/pra/abstract/1…