Hamiltonian simulation guide #201
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Maybe mention that given a Suzuki-Trotter formula, there are exponential different ways to implement it. The synthesis engine generates an optimized implementation, reducing CX-counts and depth compared to a naive, non-optimized implementation.
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Line #10. num_qdrift=30,
why did you choose 30? is it according to the error formula you have written above?
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Nice plot. I would increase num_qdrift , or, alternatively, use num_qdrift=30 as you did but run the simulation several times to get some statistics (this is eventually a random approach). You can use ExecutionSession .
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The notebook in the link shows two things:
- How to use these methods for Hamiltonian derived from molecules.
- The optimization of these functions by the synthesis engine.
I am not sure it gives more experience, it mainly highlights the latter (which is a good thing to mention).
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@alexandre-ricardo Great tutorial! Super insightful and concise, well done! A few notes that we will speak in our meeting:
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Adding a first draft for the Hamiltonian Simulation guide. Not yet finished.