CMSP Lesson Series (Atomistic Simulation Seminar Series): Polarizable embedding QM/MM: (...)
1:53:30
CMSP Lesson Series (Atomistic Simulation Seminar Series): Polarizable embedding QM/MM: (...)
CMSP Seminar (Atomistic Simulation Seminar Series): How multiscale strategies uncover the (...)
1:00:59
CMSP Seminar (Atomistic Simulation Seminar Series): How multiscale strategies uncover the (...)
CMSP series of lectures on Topology and dynamics of higher-order networks: lecture 1
2:16:07
CMSP series of lectures on Topology and dynamics of higher-order networks: lecture 1
CMSP series of lectures on Topology and dynamics of higher-order networks: lecture 3
2:13:20
CMSP series of lectures on Topology and dynamics of higher-order networks: lecture 3
CMSP series of lectures on Topology and dynamics of higher-order networks: lecture 2
2:00:27
CMSP series of lectures on Topology and dynamics of higher-order networks: lecture 2
CMSP series of lectures on Topology and dynamics of higher-order networks: lecture 4
1:17:10
CMSP series of lectures on Topology and dynamics of higher-order networks: lecture 4
CMSP Webinar (Atomistic Simulation Seminar Series): Challenges in Heterogeneous Catalyst Development
1:05:02
CMSP Webinar (Atomistic Simulation Seminar Series): Challenges in Heterogeneous Catalyst Development
Unlocking Atomistic Simulation Potential: Tutorial on DeePMD-kit for Accurate Machine-Trained Models
1:21:45
Unlocking Atomistic Simulation Potential: Tutorial on DeePMD-kit for Accurate Machine-Trained Models
Quantum gas microscopy of Hubbard systems out of equilibrium
52:26
Quantum gas microscopy of Hubbard systems out of equilibrium
Programmable Quantum Matter
45:41
Programmable Quantum Matter
Thermopower properties of strongly correlated systems
31:35
Thermopower properties of strongly correlated systems
Empowering deep neural quantum states through efficient optimization
37:51
Empowering deep neural quantum states through efficient optimization
Ab-initio variational wave functions for the time-(in)dependent many-electron Schrödinger equation
32:56
Ab-initio variational wave functions for the time-(in)dependent many-electron Schrödinger equation
Transformer wave functions for quantum spin models
47:29
Transformer wave functions for quantum spin models
Work statistics and Entanglement across the fermionic superfluid-insulator transition
37:49
Work statistics and Entanglement across the fermionic superfluid-insulator transition
Many-body entropies and entanglement from polynomially-many local measurements
45:22
Many-body entropies and entanglement from polynomially-many local measurements
Provable quantum earning advantages for physics data
48:28
Provable quantum earning advantages for physics data
Learning quantum systems: from physics-inspired models to Hamiltonian learning
50:01
Learning quantum systems: from physics-inspired models to Hamiltonian learning
Optimal control and implementation of quantum algorithms
49:49
Optimal control and implementation of quantum algorithms
Reinforcement Learning in Online Bayesian Estimation for Noise-Driven Coherent Rotation a Spin Qubit
31:27
Reinforcement Learning in Online Bayesian Estimation for Noise-Driven Coherent Rotation a Spin Qubit
Neural network approach to quasiparticle dispersions in doped antiferromagnets
28:27
Neural network approach to quasiparticle dispersions in doped antiferromagnets
Classical machine learning for quantum simulations: detection of phases, order parameters, and ...
49:17
Classical machine learning for quantum simulations: detection of phases, order parameters, and ...
Deep Learning for Quantum Physics and Astronomy
48:10
Deep Learning for Quantum Physics and Astronomy
Representation learning for quantum systems
49:11
Representation learning for quantum systems
Domain wall dynamics of a two dimensional quantum Ising model using tree tensor networks
30:41
Domain wall dynamics of a two dimensional quantum Ising model using tree tensor networks
Understanding Quantum Spin Liquids on Triangular Lattice withSymmetry Breaking and Machine Learning
28:15
Understanding Quantum Spin Liquids on Triangular Lattice withSymmetry Breaking and Machine Learning
Reinforcement Learning to Disentangle Quantum States from Partial Observations
46:14
Reinforcement Learning to Disentangle Quantum States from Partial Observations
Amorphous quantum magnets in a two-dimensional Rydberg atom array
39:13
Amorphous quantum magnets in a two-dimensional Rydberg atom array
Frontiers of quantum simulations with optical lattices
43:01
Frontiers of quantum simulations with optical lattices
Simplifying the simulation of local Hamiltonian dynamics
43:24
Simplifying the simulation of local Hamiltonian dynamics