Quantum-walk | Open quantum walk simulations in python | Data Manipulation library

 by   pradeepnpk Python Version: Current License: No License

kandi X-RAY | Quantum-walk Summary

kandi X-RAY | Quantum-walk Summary

Quantum-walk is a Python library typically used in Utilities, Data Manipulation, Numpy applications. Quantum-walk has no bugs, it has no vulnerabilities and it has low support. However Quantum-walk build file is not available. You can download it from GitHub.

Install Qutip and all other dependencies Numpy 1.7+ Not tested on lower versions. Scipy 0.14+ Lower versions have missing features. Matplotlib 1.2.0+ Some plotting does not work on lower versions. Cython 0.15+ Needed for compiling some time-dependent Hamiltonians. GCC Compiler 4.2+ Needed for compiling Cython files. Fortran Compiler Fortran 90 Needed for compiling the optional Fortran-based Monte Carlo solver. BLAS library 1.2+ Optional, Linux & Mac only. Needed for installing Fortran Monte Carlo solver. Mayavi 4.1+ Optional. Needed for using the Bloch3d class. Python Headers 2.7+ Linux only. Needed for compiling Cython files. LaTeX TexLive 2009+ Optional. Needed if using LaTeX in figures. nose 1.1.2+ Optional. For running tests. scikits.umfpack 5.2.0+ Optional. Faster (~2-5x) steady state calculations.

            kandi-support Support

              Quantum-walk has a low active ecosystem.
              It has 7 star(s) with 2 fork(s). There are 1 watchers for this library.
              It had no major release in the last 6 months.
              Quantum-walk has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Quantum-walk is current.

            kandi-Quality Quality

              Quantum-walk has no bugs reported.

            kandi-Security Security

              Quantum-walk has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Quantum-walk does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Quantum-walk releases are not available. You will need to build from source code and install.
              Quantum-walk has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Quantum-walk and discovered the below as its top functions. This is intended to give you an instant insight into Quantum-walk implemented functionality, and help decide if they suit your requirements.
            • Calculate the BLP measure
            • Generate a non - markov oscillator
            • Compute telegraph noise
            • Generate a tensorflow walk function
            • Calculate the variance of a qubit
            • Evaluate the measurement at t
            • Generate the quantum step
            • Calculates the MID state from a mixed quantum state
            • Projectors of eigenstates
            • Computes the mutual info
            • Generate Markov operator
            • Dephasing equation
            • Generates a list of qubits for a quantum domain
            • Calculates Von Entropy
            • Plot the probability density of a particle
            • Generate a non - markov network
            • Plot the chord
            • Plot variance
            • Plot mid point
            • Computes the measurement at time t
            • Plot the entropy of VN
            Get all kandi verified functions for this library.

            Quantum-walk Key Features

            No Key Features are available at this moment for Quantum-walk.

            Quantum-walk Examples and Code Snippets

            No Code Snippets are available at this moment for Quantum-walk.

            Community Discussions


            R: Is there a "Un-Character" Command in R?
            Asked 2022-Apr-10 at 17:37

            I am working with the R programming language.

            I have the following dataset:



            Answered 2022-Apr-10 at 05:36

            Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

            Source https://stackoverflow.com/questions/71813866


            Creating new columns based on data in row separated by specific character in R
            Asked 2022-Mar-15 at 08:48

            I've the following table

            Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

            The code is as follows:



            Answered 2022-Mar-15 at 08:48

            One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

            Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

            Source https://stackoverflow.com/questions/71478316


            Multiplying and Adding Values across Rows
            Asked 2022-Mar-10 at 08:24

            I have this data frame:



            Answered 2022-Mar-10 at 04:12

            We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

            Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

            Source https://stackoverflow.com/questions/71418533


            How to make a rank column in R
            Asked 2022-Mar-07 at 16:19

            I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.



            Answered 2022-Mar-07 at 14:15

            Using rank and relocate:

            Source https://stackoverflow.com/questions/71381995


            How to return the column title wherein the row contains the greatest value in Pandas Dataframe
            Asked 2022-Feb-24 at 20:56

            I working on a Python project that has a DataFrame like this:



            Answered 2022-Feb-24 at 20:48

            You could use the idxmax method on axis:

            Source https://stackoverflow.com/questions/71258033


            Split large csv file into multiple files based on column(s)
            Asked 2022-Feb-07 at 12:49

            I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.



            Answered 2021-Dec-12 at 05:22

            With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

            Source https://stackoverflow.com/questions/70320648


            Get the first non-null value from selected cells in a row
            Asked 2022-Feb-04 at 09:55

            Good afternoon, friends!

            I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

            My df is:



            Answered 2022-Feb-03 at 11:16

            One option with dplyr could be:

            Source https://stackoverflow.com/questions/70970158


            pivot_longer with column pairs
            Asked 2022-Feb-03 at 14:02

            I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:



            Answered 2022-Feb-03 at 10:59
            example %>% 
              pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
              pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
              filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
              mutate(pwr = parse_number(pwr)) %>% 
              arrange(pwr, es, type)

            Source https://stackoverflow.com/questions/70969176


            Simulating Random Draws From a "Hat"
            Asked 2021-Dec-28 at 21:50

            Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):



            Answered 2021-Dec-26 at 10:11

            You may define a function FUN(n) that creates a data set as shown in OP.

            Source https://stackoverflow.com/questions/70483731


            Break Apart a String into Separate Columns R
            Asked 2021-Dec-17 at 20:39

            I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

            Here is my data:



            Answered 2021-Dec-16 at 15:25

            Here's one with regex. See regex101 link for the regex explanations

            Source https://stackoverflow.com/questions/70381064

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install Quantum-walk

            You can download it from GitHub.
            You can use Quantum-walk like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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