
Explore groundbreaking research on out-of-distribution generalization in quantum machine learning, focusing on learning unknown unitaries and efficient quantum dynamics simulation for NISQ devices.

Discover advances in variable time quantum search algorithms, featuring improved complexity bounds and simplified implementation methods for quantum information processing systems.

Explore classical algorithms for simulating quantum dynamics, focusing on local observables and Loschmidt echo calculations in polynomial time for short-time quantum systems.

Delve into quantum secret key theory, exploring key cost calculations, privacy dilution protocols, and entanglement measures in quantum states through advanced theoretical frameworks.

量子コンピューティングの最先端概念「量子スプレマシー」について、その基本原理と物理学的な意義を探求する10分間の講義。

Discover the fundamentals of quantum computing and cryptography through an exploration of quantum mechanics, its computational applications, and secure communication protocols.

Explore quantum computing fundamentals, potential applications, and future business impacts. Learn about qubits, entanglement, and quantum circuits while discovering how to prepare for the quantum era.

Learn efficient methods for calculating absolute molecular entropy, combining DFT and semi-empirical approaches to achieve chemical accuracy in free energy computations for realistic chemical reaction modeling.

Explore quantum and classical simulations of water-2D material interfaces, focusing on defects and roughness in hexagonal boron nitride. Gain insights into wettability, slip length, and interfacial properties for desalination and sensing applications.

Explore linear-scaling DFT for simulating thousands of atoms using BigDFT. Learn about localized support functions, fragment approaches, and applications in large-scale quantum simulations.

Explore quantitative modeling of magnetic materials at atomic scale, focusing on atomistic spin dynamics and quantum thermostat implementation for accurate thermodynamic calculations.

Explore quantum-mechanical and machine learning advances in molecular simulations, their potential impact, and challenges in achieving fully quantum dynamics of complex biomolecular systems.

Explore quantum information scrambling, its quantification through Lyapunov exponents, and the role of path integrals in understanding universal bounds on chaos in thermal quantum systems.

Explore advanced modeling of solvated electrons using machine learning, overcoming challenges in accuracy and efficiency to study structure, dynamics, and properties across temperatures.

Explore advanced techniques for modeling chemical reactions in solution, focusing on explicit solvent interactions and their impact on transition metal complexes and catalysis.

Explore quantum computing fundamentals, mechanics, advantages, and applications in various industries. Gain insights into quantum machine learning for data science.

Dive into the intriguing connections between topological structures and particle physics, expanding on advanced concepts in this continuation lecture.

Explore Fermi surface calculations using QMCPACK in this advanced workshop presentation, focusing on cutting-edge techniques and applications in quantum physics.

Explore advanced twist-averaging techniques for magnetic metals using Quantum Monte Carlo, enhancing computational accuracy in materials science simulations.

Explore new correlation-consistent effective core potentials for quantum chemistry calculations, enhancing accuracy and efficiency in molecular simulations.

Explore advanced techniques in quantum mechanics with a focus on orbital optimization methods and their applications in computational physics.