Get Automatic Quantum Computer Programming: A Genetic PDF

By Lee Spector

ISBN-10: 0792381351

ISBN-13: 9780792381358

ISBN-10: 0792386531

ISBN-13: 9780792386537

ISBN-10: 1402074441

ISBN-13: 9781402074448

Automatic Quantum laptop Programming offers an creation to quantum computing for non-physicists, in addition to an creation to genetic programming for non-computer-scientists. The publication explores a number of ways that genetic programming can help computerized quantum computing device programming and offers unique descriptions of particular options, in addition to a number of examples in their human-competitive functionality on particular difficulties. resource code for the author’s QGAME quantum computing device simulator is incorporated as an appendix, and tips to extra on-line assets provide the reader with an array of instruments for computerized quantum desktop programming.

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661338147750939 x 10"^^ (zero aside from a tiny round-off error). 661338147750939 x 10"-^^ (zero aside from a tiny round-off error). • Maximum expected oracle calls: 1. • Average expected oracle calls: 1. Note that the "output" of the database is not even consulted after the database query; instead, the answer is decoded from the states in which Quantum Computer 33 Programming the input qubits are left. This highhghts a counter-intuitive property of many quantum algorithms, sometimes called the "back action" of unitary gates.

The second (vertical) split is on the basis of qubit 1, and the third (horizontal, within the quadrants) is on the basis of qubit 2. This particular prioritization makes the values of qubits 0 and 1 most obvious, but one can re-prioritize to focus on other qubits. This scheme can be nested further, allowing for the "hierarchically flattened" visualization of relatively large quantum computer states. Janet Wiles and Bradley Tonkes developed a similar graphical representation scheme but for rather different (non-quantum) purposes, called hyperspace graph paper (Wiles and Tonkes, 2002).

In traditional genetic programming all of the constant terminals used for a particular run must be of the same data type. The functions used in the run must all return values of this same type, and must take arguments only of this type. These restrictions prevent type incompatibility errors, but they are inconvenient; several ways to relax these restrictions are discussed in Chapter 6. Additional steps must often be taken to ensure that arbitrary programs are also semantically valid — that is, that they will always execute without error, producing interpretable (even if incorrect) results.

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Automatic Quantum Computer Programming: A Genetic Programming Approach by Lee Spector

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