How to implement dwave qbsolve in python

How to implement dwave qbsolve in python 


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Cover Image of How to implement dwave qbsolve in python 


 To implement D-W ave's qbsolv in Python, you will need to follow these steps:


1. Install the qbsolv package using pip. Open a command prompt or terminal and type the following command:


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pip install dwave-qbsolv


Import the qbsolv module in your Python script:

Python

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import dwave_qbsolv as qbsolv



2. Define your QUBO problem as a dictionary, where the keys are tuples representing the indices of the variables and the values are the coefficients of the corresponding quadratic terms. For example:


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Q = {(0, 0): -1, (0, 1): 2, (1, 1): -1}


3. Call the qbsolv function, passing in the QUBO dictionary and any optional parameters. For example:



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response = qbsolv.QBSolv().sample_qubo(Q)


4. The response object contains the solution to the QUBO problem in a format that depends on the solver used. For qbsolv, the response is a list of dictionaries representing the solutions, with each dictionary containing the variable assignments and the corresponding energy value.


5. Extract the solution from the response object. For example:


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solution = response[0]['sample']

energy = response[0]['energy']


6. The solution variable contains a dictionary with the variable assignments, where the keys are the variable indices and the values are either 0 or 1. The energy variable contains the energy value of the solution.


That's it! You have successfully implemented D-Wave's qbsolv in Python to solve a QUBO problem.

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