jebej

5 ms·

1. 1.▲
   by jebej 4y ago

   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.
2. 2.▲
   by jebej 7y ago

   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?
3. 3.▲
   by jebej 7y ago

   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
4. 4.▲
   by jebej 7y ago

   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);&qu
5. 5.▲
   by jebej 8y ago

   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.
6. 6.▲
   by jebej 8y ago

   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
7. 7.▲
   by jebej 8y ago

   Just use julia instead!