Add conj with cost_and_gradient #99
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Signed-off-by: 周唤海 <[email protected]>
GiggleLiu
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Jul 2, 2025
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There is an extra gauge degree of freedom for complex numbers, so the message can be different by a phase.
| n = 5 | ||
| chi = 3 | ||
| mps_uai = TensorInference.random_tensor_train_uai(Float64, n, chi) | ||
| mps_uai = TensorInference.random_tensor_train_uai(ComplexF64, n, chi) |
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Please test both Float64 and ComplexF64.
Signed-off-by: 周唤海 <[email protected]>
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close in favor of #100 |
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Try fixing #98
cost_and_gradientand I only editedbelief.jl,mar.jland leave those inmap.jlandmmap.jlremained the same.