What makes quantum generative models trainable? And can trainable loss functions be used to reliably learn complicated data distributions? Find out in our new group's first push into the field of generative QML. arxiv.org/abs/2305.02881 scirate.com/arxiv/2305.028… 1/8 🧵

Equivariant Quantum Machine Learning on the (force) field ⚛️ arxiv.org/abs/2311.11362 We have recently learned, from seminal works in the QML literature, that quantum learning models can very naturally embed group symmetric structures. (1/6)

Zero-point entropies of spin-jam and spin-glass states in a frustrated magnet. arxiv.org/abs/2303.17871

The impact of hardware noise on the capabilities of equivariant quantum neural networks is explored, and strategies for mitigation are addressed. Cenk Tüysüz Su Yeon Chang Maria Demidik Michele Grossi DESY CQTA CERN Quantum Technology Initiative (CERN QTI) go.aps.org/3y0gTou

I’m extremely happy to share our latest work on classical simulation of expectation values for a wide family of noiseless quantum circuits. Thread below 🧵👇

Link: nature.com/articles/s4153…. Thanks to my lovely co-authors Sacha Lerch, Supanut Thanasilp, Oriel Kiss, Michele Grossi, Sofia Vallecorsa, and Zoe Holmes. Special shout-out to our Master's student Oxana Shaya who proved cool new results during the review stage.

Have a look at the new version, just released in New Journal of Physics, containing stronger evidence of the robustness of the equivariant model, as well as a BP study. 👉 iopscience.iop.org/article/10.108…

In the published version Quantum, we give guarantees against overshooting and empirically demonstrate that our automatic step detection strategy requires 10 times fewer samples than the binary search procedure. Go check it out here 👉 quantum-journal.org/papers/q-2025-…

Perspective: The rapidly evolving field of chiral quantum optics is explored, showing developments and future opportunities in engineering asymmetric light-matter interactions for probing exotic quantum many-body effects. Read more: go.aps.org/4lHrE2Y

A superconducting transmon operating at 72 GHz is the highest-frequency qubit measured to date, enabling quantum experiments near 1 K and thus more accessible, high-energy superconducting quantum technologies. go.aps.org/4jkrNa9

Quantum computing and artificial intelligence: status and perspectives In recent years, several research lines became important that are located at the intersection of the study of quantum computers and of notions of artificial intelligence. scirate.com/arxiv/2505.238… This white

I am extremely delighted to see our joint theoretical-experimental work probing notions of Landauer's principle in the many-body regime published in Nature Physics. Landauer's principle represents one of the deepest connections between information theory and thermodynamics,

A press release can be found here. tuwien.at/en/tu-wien/new…

Any thoughts on the development of #quantum stock at NYSE 🏛 and Nasdaq during the past year? The value of some stock has increased anywhere between 4x and 14x .

Interesting!

Variationally optimizing infinite projected entangled-pair states at large bond dimensions: A split corner transfer matrix renormalization group approach journals.aps.org/prb/abstract/1… Projected entangled-pair states (#PEPS) have become a powerful tool for studying quantum many-body

Join us in San Diego this NeurIPS for a workshop on Foundation Models for the Brain and Body - bringing together researchers building large-scale models for biosignals in academia and industry. It's an exciting time to decode the brain and body.

#Highlycitedpaper 📖 A Review on the Roles of Photoacoustic Imaging for Conventional and Novel Clinical Diagnostic Applications ✍ By Haeni Lee, Seongyi Han, Hyunjun Kye, Tae-Kyoung Kim, Wonseok Choi and Jeesu Kim 👉 mdpi.com/2304-6732/10/8… #Photonics #Optics #Photoacoustic

🎥 Shapes, Spaces, Simplices, and Structure: Geometry, Topology & Machine Learning "What if the answer to some problems in graph learning is not more, but better structure?" This is the central premise of my talk LOGML Summer School and UniReps. 🧵1/5

#HighViewed 📖 High-Capacity Free Space Optics-Based Passive Optical Network for 5G Front-Haul Deployment ✍ By Rahat Ullah et al. 🏘️ From Nanjing University of Information Science & Technology et al. 👉 mdpi.com/2304-6732/10/1… #Photonics #Optics #Freespaceoptics #OFDM