
Explore advanced concepts in sharp restriction theory, delving into mathematical intricacies and applications with expert guidance from Diogo Oliveira e Silva.

Explore advanced concepts in spectral multipliers and wave equations for sub-Laplacians, focusing on cutting-edge mathematical research and applications.

Comprehensive lecture on Bethe Ansatz, covering integrable models, spin excitations, prethermalization, and algebraic approaches. Explores key equations, Fourier space, and the 6-vertex model for advanced physics students.

Learn to construct and deconstruct wave functions using Fourier's method in computational quantum mechanics. Visualize quantum behaviors through computer animations with VPython.

Explore the verification framework enabling classical clients to reliably delegate learning tasks to quantum servers, focusing on parity learning and Fourier-sparse functions with mixture-of-superpositions examples.

Delve into quantum computation theory exploring the limitations of QNC0 and AC0 circuits in computing parity functions, with insights into decision tree complexity and nonlocal channels.

Explore coding schemes for binary input-constrained channels, focusing on RLL constraints, Reed-Muller codes, and error resilience in both stochastic and adversarial channel models.

Explore advanced concepts in theoretical computer science, focusing on Probabilistically Checkable Proofs and global hyper-contractivity with expert Dor Minzer.

Explore advanced concepts in theoretical computer science, focusing on Probabilistically Checkable Proofs and global hyper-contractivity with expert Dor Minzer.

Explore hyper-contractivity in analysis and theoretical computer science, examining its applications and implications for advanced mathematical concepts.

Explore property testing, tolerant junta testing, and Fourier analysis in this theoretical computer science talk on testable junta correlation.

Delve into quantum query algorithms through new polynomial characterizations, exploring influential variables in Fourier completely bounded polynomials and their implications for classical simulations.

Discover advanced manifold denoising techniques for electron microscopy image processing, focusing on Fourier-like basis construction and filtering methods to enhance two-dimensional image collections through mathematical analysis.

Delve into advanced mathematical concepts exploring automatic sequences through higher order Fourier analysis, featuring insights on nilpotent structures and topological dynamics.

Explore probability current fluctuations in periodically driven stochastic systems, focusing on Fourier component statistics and cumulant generating function analysis.

Explore a smooth solution to the linear Schrödinger equation on a 2D torus, examining logarithmic H^1 Sobolev norm growth and infinite-time blowup using adapted CKSTT techniques.

Explore cell tissue dynamics using differential dynamic microscopy in reciprocal space, uncovering non-equilibrium processes in physics and biology.

Explore quantum dynamics, focusing on localization, Fourier expansion, and chaos. Gain insights into stable localization, delocalization, and Anderson localization.

Delve into quantum computing theory through an analysis of the Aaronson-Ambainis conjecture, exploring its relationship with Fourier completely bounded polynomials and implications for quantum algorithm simulation.

Discover how Visual Fourier Prompt Tuning revolutionizes vision model fine-tuning by integrating Fast Fourier Transform, enhancing adaptability and accuracy while using minimal trainable parameters.

Explore advanced Fourier multiplier theory and its applications in discrete n-torus, connecting transcendental number theory with dimension-free inequalities and Rademacher projections.