Automata, Languages and Programming
DOI: 10.1007/bfb0015756
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On probabilistic time and space

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Cited by 23 publications
(13 citation statements)
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“…It follows from these simulations that unbounded error, space-bounded PTMs and QTMs are equivalent in power. Furthermore, we have that unbounded error, space-bounded QTMs do not lose power if required to halt absolutely; a result analogous to one proved by Jung [16] for the probabilistic case (see also [1]). …”
Section: Introductionsupporting
confidence: 64%
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“…It follows from these simulations that unbounded error, space-bounded PTMs and QTMs are equivalent in power. Furthermore, we have that unbounded error, space-bounded QTMs do not lose power if required to halt absolutely; a result analogous to one proved by Jung [16] for the probabilistic case (see also [1]). …”
Section: Introductionsupporting
confidence: 64%
“…Furthermore, if a given well-behaved probabilistic Turing machine runs in space O(s), the function t in item 2 is computable in space O(s) as well. Finally, note that the classes PrSPACE(s), BP H SPACE(s), and co-C = SPACE(s) remain unchanged if the underlying machine is required to be well-behaved (following from [1,16] in the case of PrSPACE(s)).…”
Section: Quantum Simulations Of Ptmsmentioning
confidence: 99%
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“…Savitch's Theorem (Savitch 1970) gives the following relation between deterministic and nondeterministic space-bounded classes: NSPACE(s) ⊆ DSPACE(s 2 ); a quadratic increase in space compensates for any advantage of nondeterministic computation over deterministic computation. A similar relation holds if nondeterministic computation is replaced with probabilistic computation, even if the probabilistic computation has unbounded error and no restrictions on running time (Borodin et al 1983;Jung 1985). Specifically, PrSPACE(s) ⊆ DSPACE(s 2 ).…”
Section: Introductionmentioning
confidence: 89%