
Explore non-locality in machine learning force fields with Stefan Chmiela, focusing on multiscale approaches in quantum mechanics and their applications in computational chemistry.

Explores a chain rule for quantum relative entropy, its implications for quantum statistics, and the comparison of adaptive vs non-adaptive strategies in quantum channel discrimination.

Explores semidefinite programming for quantum correlations, improving approximation algorithms for two-player free games with quantum assistance using entropy inequalities and de Finetti theorems.

Explore quantum solutions to Euler's 36 officers problem, a classically impossible combinatorial puzzle. Discover connections to orthogonal Latin squares, entanglement, and quantum information theory.

Explore ML and AI applications in sciences, focusing on neuroscience, medicine, and physics. Learn about extracting insights from ML models to enhance understanding in fields like quantum chemistry.

Explore non-unitary dynamics in quantum systems, from dissipative to monitored, covering analytical approaches, entanglement scaling, and spacetime duality in quantum circuits and many-body physics.

Explores measurement-induced entanglement transitions in quantum circuits, focusing on characterization methods, dynamical symmetry, and connections to classical models. Discusses implications for non-equilibrium many-body physics.

Explore fundamental axioms of quantum mechanics for quantum computing, covering unitary matrices, qubit gates, and quantum circuits in this graduate-level lecture from Carnegie Mellon University.

Explore quantum mechanics fundamentals, focusing on understanding and measuring one qubit. Learn about measuring devices, inner products, and quantum notation.

Explores topological defect networks and Floquet codes in quantum systems, covering anyons, toric code, TQFT dynamics, and spacetime defects. Provides insights for researchers in integrable models and quantum physics.

Explores connections between black holes and quantum information, discussing Hawking radiation, island effect, and replica wormholes. Addresses key questions in quantum gravity and implications for cosmology.

Explore nuclear dynamics through classical and quantum simulations, combining chiral effective field theory with ab initio methods for accurate S-factor evaluations and quantum computing applications in scattering theory.

Explore quantum information science with a distinguished professor, covering key concepts and recent advancements in this cutting-edge field of physics.

Explore how machine learning enhances simulations of matter, from electronic to molecular structures, boosting computational methods and potentially leading to new physical insights and exotic materials.

Explore quantum advantage using noisy shallow circuits in 3D, examining cutting-edge research and implications for quantum computing advancements.

Explore language models for Rydberg atom quantum simulation in this talk by Roger Melko, bridging quantum physics and machine learning for novel insights into long-range quantum matter.

Explore high-dimensional quantum states, their sources, and analysis methods in this seminar by Marco Liscidini. Gain insights into cutting-edge quantum information research and applications.

Explore quantum cryptography's position-based aspects, including impossibility results and potential constructions. Delve into secret communication, verification challenges, and quantum concepts.

Explore cutting-edge developments in quantum cryptography and its implications for secure communication in this expert-led session from TCC 2022.

Explores effects of open ends on out-of-time-ordered correlators and emergence of local conservation laws in periodic systems, with implications for quantum information and condensed matter physics.

Explore quantum adaptation of fast multipole method for efficient particle interaction approximation, potentially revolutionizing quantum chemistry algorithms with O(n) gate complexity.