Symbol E
a fitness score, evaluated by a fitness oracle that happens to require physical qubits rather than a spreadsheet.
Read this term in its guide →Published equation contexts
At the most general level, evolutionary computation is defined by a schema older than quantum computing or even electronic computing: blind variation followed by selective retention. A population of candidate solutions is generated, each is scored against a fitness function, and the scores determine which candidates survive, recombine, or get discarded, with the cycle repeating across generations. Read against that schema, the variational loop’s mapping is direct rather than metaphorical in its outline: the parameter vector is a genotype; the measured expectation value E() is a fitness score, evaluated by a fitness oracle that happens to require physical qubits rather than a…
a fitness score, evaluated by a fitness oracle that happens to require physical qubits rather than a spreadsheet.
Read this term in its guide →θ is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
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Equation 7 · Evolutionary Physics
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.
At the most general level, evolutionary computation is defined by a schema older than quantum computing or even electronic computing: blind variation followed by selective retention. A population of candidate solutions is generated, each is scored against a fitness function, and the scores determine which candidates survive, recombine, or get discarded, with the cycle repeating across generations. Read against that schema, the variational loop’s mapping is direct rather than metaphorical in its outline: the parameter vector is a genotype; the measured expectation value E() is a fitness score, evaluated by a fitness oracle that happens to require physical qubits rather than a…