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14 lines
612 B
Text
14 lines
612 B
Text
One approach to solve a constraint satisfaction problem (CSP) using
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an Ising model or a QUBO, is to map each individual constraint in
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the CSP to a "small" Ising model or QUBO. This mapping is called
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a penalty model.
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Imagine that we want to map an AND clause to a QUBO. In other words,
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we want the solutions to the QUBO (the solutions that minimize the
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energy) to be exactly the valid configurations of an AND gate. Let z =
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AND(x_1, x_2).
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Optional building mode set with environment variables:
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- TESTS=yes, performs tests. Requires: dimod, python3-numpy,
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networkx, python3-scipy, homebase, lapack.
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