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arxiv: quant-ph/0112087 · v3 · submitted 2001-12-15 · 🪐 quant-ph

Coins, Quantum Measurements, and Turing's Barrier

classification 🪐 quant-ph
keywords devicequantumcomputingepsilonprogrambarriercasechosen
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Is there any hope for quantum computing to challenge the Turing barrier, i.e. to solve an undecidable problem, to compute an uncomputable function? According to Feynman's '82 argument, the answer is {\it negative}. This paper re-opens the case: we will discuss solutions to a few simple problems which suggest that {\it quantum computing is {\it theoretically} capable of computing uncomputable functions}. In this paper a mathematical quantum "device" (with sensitivity $\epsilon$) is constructed to solve the Halting Problem. The "device" works on a randomly chosen test-vector for $T$ units of time. If the "device" produces a click, then the program halts. If it does not produce a click, then either the program does not halt or the test-vector has been chosen from an {\it undistinguishable set of vectors} ${\IF}_{\epsilon, T}$. The last case is not dangerous as our main result proves: {\it the Wiener measure of} ${\IF}_{\epsilon, T}$ {\it constructively tends to zero when} $T$ {\it tends to infinity}. The "device", working in time $T$, appropriately computed, will determine with a pre-established precision whether an arbitrary program halts or not. {\it Building the "halting machine" is mathematically possible.}

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