Package: tqix
tqixtqix: a Toolbox for Quantum in X:X: quantum measurement, quantum metrology, quantum tomography, and others.Descriptiontqix is an open-source software providing some convenient tools
for quantum measurement, quantum metrology, quantum tomography, and others.
In version 2.0.1 we add a library called tqix.pis for large-scale quantum simulation.In version 3.0.* we add a library called tqix.vqa for Variational Quantum AlgorithmsStructure of the program\tqix
    |--- __init__.py # an init file to mark directory
    |--- about.py # describe the program's information
    |--- hinfor.py # provide information about hardware and packages
    |--- version.py # describe the current version of the program
    |--- qobj.py # generate a quantum object, and some convenient tools operate on the object
    |--- qstate # generate various quantum states
    |--- qoper.py # provide some common quantum operators: pauli matrices, lowering, raising,..
    |--- qmeas.py # calculate quantum measurement using both analytical and simulation methods
    |--- qmetro.py # calcualte quantum metrology
    |--- backend.py # two simuation mnethods: monte carlo and comulative distribution function
    |--- qtool.py # contain auxiliary (physical) tools
    |--- quasi_prob.py # generate quasi-probability functions such as Husimi Q function, Wigner function, Husimi Spin function, and Wigner Spin function
    |--- visualize.py # contain code for Husimi and Wigner visualization in 2D, 3D, and 3D spin
    |--- utility.py # contain some common utility (mathematical) tools
    |
    \povm # generating POVM measurement sets
        |--- __init__.py 
        |--- povm.py  # to return measurement sets: Pauli, Stoke, MUB, SIC
        |--- pauli.py # code for Pauli measurement set
        |--- stoke.py # code for Stoke measurement set
        |--- mub.py   # code for Mutually Unbiased Bases (MUB) measurement set
        |--- sic.py   # code for Symmetric Informationally Complete (SIC) measurement set
        |
    \dsm # direct quantum state tomography (Direct State Measurement, DSM)
        |--- __init__.py  
        |--- dsmWeak.py    # code for DSM using Weak measurement
        |--- dsmStrong.py  # code for DSM using Strong measurement
        |--- dsmProb.py, dsmProb_Conf_1.py, dsmProb_Conf_2.py   # code for DSM using Probe-controlled-system measurement
        |--- execute.py    # execute code contained in "dsm" directory
        |--- util.py       # utility code for quantum tomography: trace distance, fidelity.. 
        |See: arXiv:2007.05294(2020), J. Phys. B: At. Mol. Opt. Phys. 53, 115501 (2020), Physics Letters A 383, 289–294 (2019).
        |
    \pis # large-scale quantum simulation library
        |---__init__.py
        |--- circuit.py #create a quantum circuit
        |--- gates.py #define quantum gates
        |--- noise.py #add noise to quantum gates
        |--- optimizers.py #define various optimizers e.g., GD, Adam, QNG,..
        |--- spin_operators.py #define spin operators
        |--- squeeze_param.py #define squeezing_parameters
        |--- util.py #utility code
        |
    \vqa # variational quantum algorithms
        |---__init__.py
        |--- bounds.py    # quantum bound, qfim, cfim, ...
        |--- circuits.py  # quantum circuit and ansatzes
        |--- constants    # various constants
        |--- entanglement # to calculate entanglement 
        |--- fitting      # fitting model
        |--- kraus        # defined Kraus operators for noise
        |--- plateau      # calculate barrent plateu
        |--- vqent        # variational quantum entanglement
        |--- vqm          # variational quantum metrology
        |Licensecopyright (c) 2019 and laterauthors: Le Bin Hocontributors: Kieu Quang Tuan, Nguyen Tan VietNote for installationdownload source code from our website:https://vqisinfo.wixsite.com/tqix/downloador from github:https://github.com/echkon/tqix-developersthen run:$pip3 install .note for installation:download source code and run:$ pip3 install .install from pypi, run:$ pip3 install tqixFor some reasons, let's try this:pip install -r requirements.txtpip install . --no-build-isolationThere may an error when we have new files: let trypip install -v .