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## Description
While trying to implement ``mcsolver`` with ``diffrax`` (to support higher dimensional Hilbert spaces with ``jax[cuda12]``) and performing periodic measurements with the final state …
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# Description
## WHAT PROBLEM ARE YOU TRYING TO SOLVE?
We consider the problem of finding high-dimensional integrals by quantum Monte Carlo methods. When solving high-dimensional problems using cl…
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Я это вижу так, что сначала информация про fermionic problem, сослаться на лекцию, потом освежить классический метод Монте Карло, потом объяснение, что для fermionic problem из разложения Тейлора мы п…
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Hello! This is quite a nice package!
I'm a student working on a project using direct sampling method to simulated Fermion system, so it is different from the MCMC framework. But I'm still interested …
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I generated some zee EVT samples using the gen_zee.py script but when I checked the event, there were PDGID's 0 with the exception with the expected 11 and -11 for electron positron pairs. Checking th…
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* [Link](https://arxiv.org/pdf/1909.10831.pdf)
* Title: Entropy from Machine Learning
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# Description
The aim is to optimize the quantum computing resource during the transmission of highly entangled states pertaining to a finite set. For this purpose, a quantum state classifier base…
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* [Link](https://arxiv.org/abs/1906.10652)
* Title: Monte Carlo Gradient Estimation in Machine Learning
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Hello Rick
I am writing a package for quantum chemical calculations using the Monte Carlo method with python3 and [numba](https://numba.pydata.org/numba-doc/latest/user/5minguide.html)
While I w…
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This issue is to discuss the possibility of adding path integral methods to the already existing classical MD / MC framework. Quantum-classical isomorphism enables mapping of the thermodynamics of a …