We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
rand_unitary
rand_unitary returns a full sparse matrix rather than a dense matrix or a sparse matrix with a small number of non-zero elements.
rand_unitary(10, :haar)
Quantum Object: type=Operator dims=[10] size=(10, 10) ishermitian=false 10×10 SparseMatrixCSC{ComplexF64, Int64} with 100 stored entries: 0.0632417-0.131305im -0.230814-0.259968im -0.226769+0.367886im … -0.0287067-0.00684086im 0.298216+0.194432im -0.212687+0.52328im -0.0406162-0.0831418im 0.148478-0.297714im -0.274749-0.144714im 0.0950875+0.0592872im 0.0740545-0.204811im 0.468646-0.303375im -0.0752184-0.0106459im 0.161864-0.0666191im 0.00380834-0.0472319im 0.33104+0.273685im 0.215449-0.0494954im -0.119553-0.054074im -0.0437017-0.172603im 0.0555544-0.132859im 0.369062-0.289866im -0.140639-0.358096im -0.0331894+0.498063im 0.0337133+0.0629756im ⋮ ⋱ -0.199976+0.537801im 0.133004-0.353803im -0.0114151+0.285496im -0.117898-0.140528im 0.112986+0.30782im 0.312629-0.137968im -0.268216-0.140464im -0.279726+0.363753im 0.0686069+0.117375im -0.267182+0.106167im -0.0829904+0.0797804im 0.0592592-0.23626im 0.367579-0.0876562im 0.274465+0.220096im -0.209799+0.187118im 0.147872+0.0469607im 0.266915+0.0132135im 0.108786+0.0451848im
A dense matrix or a sparse matrix with a small number of non-zero elements.
QuantumToolbox.jl: Quantum Toolbox in Julia ≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡ Copyright © QuTiP team 2022 and later. Current admin team: Alberto Mercurio, Luca Gravina, Yi-Te Huang Package information: ==================================== QuantumToolbox Ver. 0.13.0 LinearSolve Ver. 2.34.0 OrdinaryDiffEq Ver. 6.89.0 System information: ==================================== Julia Version: 1.10.5 OS : Linux (x86_64-linux-gnu) CPU : 32 × 13th Gen Intel(R) Core(TM) i9-13900KF Memory : 62.512 GB WORD_SIZE: 64 LIBM : libopenlibm LLVM : libLLVM-15.0.7 (ORCJIT, goldmont) BLAS : libopenblas64_.so (ilp64) Threads : 8 (on 32 virtual cores)
No response
The text was updated successfully, but these errors were encountered:
Successfully merging a pull request may close this issue.
Bug Description
rand_unitary
returns a full sparse matrix rather than a dense matrix or a sparse matrix with a small number of non-zero elements.Code to Reproduce the Bug
Code Output
Expected Behaviour
A dense matrix or a sparse matrix with a small number of non-zero elements.
Your Environment
Additional Context
No response
The text was updated successfully, but these errors were encountered: