Download Automatic Quantum Computer Programming by Lee Spector PDF

By Lee Spector

Automatic Quantum desktop Programming presents an advent to quantum computing for non-physicists, in addition to an advent to genetic programming for non-computer-scientists. The ebook explores numerous ways that genetic programming can help computerized quantum machine programming and offers specified descriptions of particular ideas, in addition to numerous examples in their human-competitive functionality on particular difficulties. resource code for the author’s QGAME quantum laptop simulator is integrated as an appendix, and tips that could extra on-line assets provide the reader with an array of instruments for computerized quantum desktop programming.

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During the testing of an algorithm that contains an oracle gate one normally wants to run the program with various instances of the oracle and to collect statistics over all of the results. For example, if one is testing a program for Grover's search problem one might want to run it on all possible databases (each of which is implemented as an oracle that QNOTs its output qubit if its inputs address the "marked" item), ensuring that it reports the correct answer in each case. This is facilitated in QGAME with a sort of "macro" instruction expression of the form: (ORACLE Q qi q2 ...

The average probability of error for all provided cases. • The maximum number of expected oracle calls across all cases. • The number of expected oracle calls averaged across all cases. It is relatively easy to extend TEST-QUANTUM-PROGRAM to return additional values, for example the full list of error values or other statistics related to the program's performance. But the values listed above are sufficient to support many uses of QGAME for automatic quantum computer programming. 2. Visualization QGAME program syntax provides one way to view quantum algorithms, and lists of amplitudes provide one way to view the state of a quantum computer.

Two of the inputs to the gate are used to set an address, and the gate operates by flipping (QNOTing) the third input if (and only if) the addressed location contains a 1. Furthermore, for the instance of the problem that we are considering here, we are promised that one and only one of the locations in the database contains a 1; all other locations contain Os. Classically, it would require 3 queries to the database to be certain of the location of the single 1. If, after 3 queries, we had still not found the 1, then we could be certain that it was in the one location in which we had not yet looked.

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