Variational Monte Carlo
PulseAugur coverage of Variational Monte Carlo — every cluster mentioning Variational Monte Carlo across labs, papers, and developer communities, ranked by signal.
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New VMC variant PS-Clip-VMC enhances robustness in heavy-tailed optimization
Researchers have identified that Variational Monte Carlo (VMC), a key algorithm in electronic structure theory and neural network applications like FermiNet, faces robustness issues due to heavy-tailed estimators. These…
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Excited Pfaffians: New Neural Network Architecture for Quantum States
Researchers have developed a novel neural network architecture called Excited Pfaffians, designed to more efficiently represent multiple quantum states. This approach significantly reduces computational cost compared to…
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New recurrent neural network method boosts quantum simulations
Researchers have developed a new method called parallel scan recurrent neural quantum states (PSR-NQS) to improve the scalability of neural-network simulations for quantum many-body systems. This approach utilizes recur…
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New non-Euclidean neural quantum states outperform Euclidean counterparts in VMC experiments
Researchers have introduced new non-Euclidean neural quantum states (NQS) by extending previous work with Poincaré hyperbolic GRU to include Lorentz RNN, Lorentz GRU, and Poincaré RNN. These new hyperbolic NQS variants …