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Are we using the adjoint method as described in the paper?
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the explanation of the chunk size keyword does not make sense, it mentions `autojacvec=false`,
but `autojacvec=false` corresponds to `false: the Jacobian is constructed via FiniteDiff.jl`.
The `auto…
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#### Issue description
Lightning does not support measuring `qml.state` when `diff_method="adjoint"`.
* *Expected behavior:* QNodes running on lightning can return `qml.state` when `diff_method=…
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Luckily, adjoint methods for (most) eigenvalue problems tend to be rather trivial _if you are optimizing the eigenvalue directly_. So, for example, if you want to match the effective index of two mode…
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The LDOS is a good way to design around the Q of a resonator. As discussed in the [meep tutorial](https://meep.readthedocs.io/en/latest/Python_Tutorials/Local_Density_of_States/), however, the LDOS ca…
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As @maleadt mentioned in https://github.com/JuliaGPU/Metal.jl/issues/422.
I re-open a new issue here.
The current `LinearAlgebra.kron` only supports for `CuArray`, and the other `GPUArray` uses …
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@llfung talked to me today about his work on adjoint-accelerated programmable inference for large PDEs, and what would be needed on Turing's part to support that. As I understand it (and I know very l…
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### October 2024 >
- [ ] short term
- [ ] look into gradients again
- [ ] publish notebooks (field projection + photonic crystal)
- [ ] Update Readme including how to use jax / pyto…
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**Describe the bug 🐞**
`A \ b` works when `A` is of dimension $n\times p$ and $b$ is of dimension $n$. However, for `LinearSolve`, the code
```julia
using LinearSolve
lin_prob = LinearProblem(A,…
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**Question❓**
If I change the differentiation method in the optimization example in [Optimizing through an ODE solve and re-creating MTK Problems](https://docs.sciml.ai/ModelingToolkit/stable/exam…