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### Hamiltonian simulation for hyperbolic partial differential equations by scalable quantum circuits
### Abstract
Differential equations are fundamental to understanding quantum systems, yet clas…
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Hello,
Is it possible to, given a circuit topology, export the set of differential equations? I think it could be done using [ModelingToolkit.jl](https://github.com/SciML/ModelingToolkit.jl). This …
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Between `jaxlib==0.4.32.dev20240807` and `jaxlib==0.4.32.dev20240812` I observe a significant decrease of performance for integration of differential equations with many solver steps (up to 8x slower…
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Technical noise should be integrated with the "clean" data generation process.
## Data generation process:
Currently there are two approaches to generate data:
1. structural causal models --> (n…
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Implement SDE, etc using [DifferentialEquations.jl](https://github.com/JuliaDiffEq/DifferentialEquations.jl) and (most likely) Stan-like approach
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# Title
NODEA - Neural Ordinary Differential Equations Anonymous
# Description
This sessions is supposed to be an introduction to neural ordinary differentiable equations (Neural ODEs). As on…
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**Question❓**
This package defines an extension for ChainRulesCore, in which an rrule for `solve_up` is defined: https://github.com/SciML/DiffEqBase.jl/blob/9de748d98d2953a719e332818fd8a0d58638f749…
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There is a class of MCMC algorithms like Hamiltonian Monte Carlo or HMC (https://arxiv.org/pdf/1701.02434) which numerically integrate Hamiltonian's equations (with some noise) to generate random walk…
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Dear Laurent,
we discussed already about the extension of scipy's capabilities in solving differential algebraic equations in your (PR)(https://github.com/scipy/scipy/pull/13068).
In the meanti…