Published online by Cambridge University Press: 23 June 2016
We consider computation with real numbers that arise through a process of physical measurement. We have developed a theory in which physical experiments that measure quantities can be used as oracles to algorithms and we have begun to classify the computational power of various forms of experiment using non-uniform complexity classes. Earlier, in Beggs et al. (2014 Reviews of Symbolic Logic
7(4) 618–646), we observed that measurement can be viewed as a process of comparing a rational number z – a test quantity – with a real number y – an unknown quantity; each oracle call performs such a comparison. Experiments can then be classified into three categories, that correspond with being able to return test results
$$\begin{eqnarray*}
z < y\text{ or }z > y\text{ or }\textit{timeout},\\
z < y\text{ or }\textit{timeout},\\
z \neq y\text{ or }\textit{timeout}.
\end{eqnarray*}
$$
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