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# abp |
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# abp |
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Python port of Anders and Briegel' s [method](https://arxiv.org/abs/quant-ph/0504117) for fast simulation of Clifford circuits. |
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Python port of Anders and Briegel' s [method](https://arxiv.org/abs/quant-ph/0504117) for fast simulation of Clifford circuits. Should do thousands of qubits without much trouble. |
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Install with `pip`: |
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Install with `pip`: |
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@@ -8,7 +8,7 @@ Install with `pip`: |
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$ pip install --user abp |
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$ pip install --user abp |
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``` |
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``` |
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![demo](img/demo.gif) |
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![demo](examples/demo.gif) |
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## Visualization |
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## Visualization |
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@@ -40,13 +40,15 @@ Now, in another terminal, use `abp.fancy.GraphState` to run a Clifford circuit: |
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And you should see a visualization of the state: |
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And you should see a visualization of the state: |
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![demo](img/viz.jpg) |
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![demo](examples/viz.png) |
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## Testing |
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## Testing |
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`abp` has a fairly rigorous test suite. You can run all the tests with `nose`: |
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`abp` has a bunch of tests. You can run them all with `nose`: |
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```shell |
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```shell |
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$ nosetests |
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53 tests run in 39.5 seconds (53 tests passed) |
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``` |
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``` |
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Currently I use some reference implementations of `CHP` and `graphsim` which you won't have installed, hence some tests will fail with `ImportErrors`. You can ignore those :feelsgood:. |
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Currently I use some reference implementations of `CHP` and `graphsim` which you won't have installed, hence some tests will fail with `ImportErrors`. You can ignore those :feelsgood:. |