jebej

Very interesting, thanks for the writeup and work on benchmarking all of this. I suspected package loading had gotten slower from 1.0 to ~1.7, but 1.9 will solve most concerns.

They seem to know about decoherence, and in a later post associate interference with probabilities, so I don't think that was the issue. Maybe a typo?

Quantum physicist here: just to correct the mistaken claims in this, interference is definitely a feature of quantum computing, and not a bug.

Interference is also NOT why there are are no error corrected quantum computers. The reason there are no error corrected quantum computers is because we need way (way way) many more physical qubits, and they would need to be of better quality (less decoherence).

The Plots package adds a significant overhead right now. Try using PyPlot (matplotlib) directly. These days you can use exactly the same syntax (dot-call) as in Python.

   $ time julia -e "using PyPlot;x=1:10;y=rand(10);plot(x,y);"
   real    0m5.676s

The latter.

More seriously though, there won't be a true error corrected quantum computer for a long time. People are hoping that there can be useful applications with imperfect physical qubits.

You can use whatever start index you like: https://docs.julialang.org/en/stable/devdocs/offset-arrays/#...

For a pre-baked solution: https://github.com/JuliaArrays/OffsetArrays.jl

Just use julia instead!