Swaroop కూనపులి

The biophysicist Mazi Jalaal finds math and physics problems inside plant cells. “There are so many physics problems that these organisms have to solve during the course of evolution,” Jalaal said. quantamagazine.org/the-hidden-mat…

Perspective article: "Computational foundations of the human world" (by MJ Hamilton, A Yadav, H Hartle, J Korbel, N Kornerup, AJ Stier, DH Erwin, H Youn, CP Kempes, H Shimao, K Harper, J Evans, DH Wolpert): arxiv.org/abs/2605.01680

In statistical physics, boundaries generally do not affect bulk behavior in large systems. But now theorists have shown that in specially constructed quantum lattice models, the shape of the boundary can determine which phases exist deep inside the system. go.aps.org/4dmWKdU

[Lecture Notess] Mathematical ideas and notions of quantum field theory Pavel Etingof (These are expanded notes of a course on basics of quantum field theory for mathematicians given by the author at MIT.) arxiv.org/abs/2409.03117

Mathematical Ideas and Notions of Quantum Field Theory という本がAMSから出るらしい テンソル圏や表現論の本で有名なPavel Etingof氏が書いた arXivでも公開されている arxiv.org/abs/2409.03117

"Recommender Systems as Control Systems" (by Giulia De Pasquale, Sarah Dean, Paolo Frasca): arxiv.org/abs/2605.01503

From Qubit to Qubit: A Graduate Course in Quantum Mechanics arxiv.org/abs/2605.01585

Our paper "Mesh Field Theory: Port-Hamiltonian Formulation of Mesh-Based Physics" (first author: S. Noguchi (JAMSTEC / RIKEN AIP)) was accepted to @icmlconf #ICML2026 (arXiv:2605.00394 arxiv.org/abs/2605.00394). For ML-based prediction of physical dynamics on meshes, Mesh Field Theory fixes the topological skeleton derived from universal physical principles and learns only the metric and dissipative structures from data, enabling structure-preserving, physically faithful, and data-efficient simulation.

The Open Logic Project openlogicproject.org/about/

Budget Constraints as Riemannian Manifolds arxiv.org/abs/2605.00649

Introduction to the Legendre transform jmanton.wordpress.com/2010/11/21/int…

Information-geometric adaptive sampling for graph diffusion ift.tt/718K5JO

Information-geometric adaptive sampling for graph diffusion arxiv.org/abs/2605.00250

Somewhere (in principle, perhaps in actuality) there exists a physical system. Its Hamiltonian has eigenvalues (energy levels) equal to the imaginary components of the non-trivial Riemann zeros. Its classical trajectories close with periods equal to the logs of the primes. It breaks time-reversal symmetry. To find such a system, to build it, or show it must exist, would be one way of proving the Riemann hypothesis.

#descriptoroftheday #moleculardescriptors #qsar #cheminformatics #alvatips Mean square distance index has been proposed by Balaban in "Topological indices based on topological distances in molecular graphs" doi.org/10.1351/pac198… Check #alvaDesc at: alvascience.com/alvadesc/

Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation ift.tt/uqJWQR6

M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data ift.tt/M49LNr7

Provable and scalable quantum Gaussian processes for quantum learning ift.tt/8bLB9kW

Statistical Testing Framework for Clustering Pipelines by Selective Inference ift.tt/WvsjF5G