Bell's Theorem - The Quantum Venn Diagram Paradox
Explore Bell's Theorem and quantum entanglement through an engaging visual explanation, challenging Einstein's views on quantum mechanics and local realism.
How to Teleport Schrödinger's Cat
Explore quantum teleportation, including the procedure for teleporting a qubit using entangled particles and classical communication channels. Learn about the fascinating world of quantum physics.
The No Cloning Theorem in Quantum Mechanics - Full Proof Explained
Explore the No Cloning Theorem in quantum mechanics through an accessible proof, replacing qubits with Schrödinger's cat to demonstrate why perfect quantum cloning is impossible.
The Quantum Factorial Is Upon Us
Explore the quantum analog of the factorial function, examining inversions and the N=4 case. Delve into advanced mathematical concepts with clear explanations and examples.
Symbolic Regression for Discovery of a DFT Functional - IPAM at UCLA
Explore symbolic regression for DFT functional discovery, combining AutoML ideas to improve existing models in computational chemistry and materials science.
Variational Wavefunctions, Machine Learning Architecture for Fermions and Gauge Theories
Explore machine learning architectures for variational wavefunctions in fermion and gauge theory systems, focusing on preserving symmetries and achieving accurate results in quantum mechanics.
Machine Learning to Improve the Exchange and Correlation Functional in DFT
Explore machine learning approaches to improve exchange and correlation functionals in density functional theory, discussing physically informed methods and their advantages in quantum mechanics.
Compact Representations of Excited States from QMC, as Data for Low-Energy Models
Explore compact wave function representations for excited states in quantum mechanics, focusing on variational Monte Carlo methods and their applications in effective model development.
Quantum Time Correlation Functions in an Open-Chain Path Integral Distribution
Explore quantum time correlation functions using open-chain path integrals, offering a new perspective on semiclassical approximations in computational chemistry with potential applications in rate theory and spectroscopy.
Fast, Accurate and Large-Scale Ab-Initio Calculations for Materials Modeling
Explore advanced computational methods for large-scale density functional theory calculations, their applications in materials modeling, and the performance of the DFT-FE open-source code.
News on Tensor Network Simulations for Quantum Matter and Beyond
Explore recent developments in tensor network simulations for quantum systems and their applications beyond physics, including portfolio optimization in finance.
Emergent Gapless Quantum Spin Liquid from Deconfined Quantum Critical Point
Explores emergent gapless quantum spin liquid near deconfined quantum critical point using tensor network state methods, providing evidence for its existence in antiferromagnetic Heisenberg models.
Schrödinger Bridges - Classical and Quantum
Explore Schrödinger bridges in classical and quantum contexts, their applications to Markov chains and quantum channels, and their solutions for probability distributions and state evolutions.
Strong Cosmic Censorship Versus Λ - IPAM at UCLA
Explore the strong cosmic censorship conjecture in general relativity, its challenges with non-zero cosmological constant, and implications for black hole physics and determinism.
Quantum Field Theory of Exotic Systems - IPAM at UCLA
Explore quantum field theory of exotic systems, focusing on fracton phases and their challenges to conventional understanding. Delve into subsystem symmetries, tensor gauge theories, and peculiar UV/IR mixing phenomena.
Local Response in Bulk-Gapped Interacting Systems - IPAM at UCLA
Explore quantum Hall effect in thin Hall bars, interacting fermion systems' response to local perturbations, and adiabatic theorems for extended many-body systems with bulk gaps.
The Hartree-Fock Approximation and Its Generalizations - IPAM at UCLA
Explore Hartree-Fock approximation in quantum mechanics, covering accuracy, variational principles, generalizations, and symmetries. Gain insights into advanced theoretical concepts and applications.
Multiscale Approaches to Dispersion Modelling - IPAM at UCLA
Explore multiscale approaches to dispersion modelling, focusing on van der Waals physics in materials with one- or two-dimensional interactions and the challenges in mathematical techniques used to model them.
Message Passing Neural Networks for Atomistic Systems - Materials - IPAM at UCLA
Explore message passing neural networks for atomistic systems, focusing on thermal transport simulations and diffusion in materials science, with practical examples and convergence tests.
Taming the Dynamical Sign Problem in Diagrammatic Algorithms for Open Quantum Systems
Explore diagrammatic algorithms for open quantum systems, focusing on balancing dynamical sign problems and error amplification in numerical integration through partial resummation techniques.
Discrete Honeycombs, Rational Edges and Edge States - IPAM at UCLA
Explore tight binding models, graphene edges, and edge states in quantum mechanics. Discover classifications, proofs, and formulas for zero energy states and dispersive edge curves.