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I cannot possibly estimate the difficulty of this, but it would be great to define a conjugation or adjoint operation over the variables and monomials. The first interesting case is monomials of compl…
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In recent main builds adjoint sensitivity analysis seems to give incorrect values compared to forward sensitivity methods as a result of upstream changes. #233
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I have a collection of positive-definite, symmetric, complex matrices I need to quickly solve linear systems on. Given the positive definiteness, I initially tried `cholesky` but that gave me the erro…
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From @avik-pal https://github.com/SciML/LinearSolve.jl/pull/449
> Preconditioning. These need to be added to the Adjoint Sensitivity Struct. Can we use a left preconditioner for the forward proble…
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The following is broken as a consequence
```julia
julia> a = [[1,2,3]]'
1×1 adjoint(::Vector{Vector{Int64}}) with eltype LinearAlgebra.Adjoint{Int64, Vector{Int64}}:
[1 2 3]
julia> map(size, a…
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So for the various array wrapper types like `Symmetric`, `Hermitian`, and `Adjoint`, we currently don't have a specialized `zero` method, but instead fall back to the `AbstractArray` definition which …
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When loading an external copy of LinearAlgebra (as in the tests for https://github.com/JuliaLang/LinearAlgebra.jl) there are some new method ambiguities that arises, even if the external copy should h…
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in https://white.ucc.asn.au/2017/01/24/JuliaML-and-TensorFlow-Tuitorial.html
rows and columns are swapped, as columns are labeled samples instead of rows
> ERROR: LoadError: MethodError: no method…
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In the code below, I create a `test` circuit and then compute its gradient in two ways. The first way just applies `jax.jit(jax.grad(...))` to a partial completion of the qnode after an initial state…
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Downsampling is a linear operation, so it does have an adjoint (and it is quite useful in certain situations). The adjoint consists of inserting zeros at all points that aren't in the downsampling gri…