On the pseudo-deterministic query complexity of NP search problems

We study pseudo-deterministic query complexity - randomized query algorithms that are required to output the same answer with high probability on all inputs. We prove Ω(√n) lower bounds on the pseudo-deterministic complexity of a large family of search problems based on unsatisfiable random CNF inst...

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Main Authors: Goldwasser, S, Impagliazzo, R, Pitassi, T, Santhanam, R
Format: Conference item
Language:English
Published: Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2021
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author Goldwasser, S
Impagliazzo, R
Pitassi, T
Santhanam, R
author_facet Goldwasser, S
Impagliazzo, R
Pitassi, T
Santhanam, R
author_sort Goldwasser, S
collection OXFORD
description We study pseudo-deterministic query complexity - randomized query algorithms that are required to output the same answer with high probability on all inputs. We prove Ω(√n) lower bounds on the pseudo-deterministic complexity of a large family of search problems based on unsatisfiable random CNF instances, and also for the promise problem (FIND1) of finding a 1 in a vector populated with at least half one’s. This gives an exponential separation between randomized query complexity and pseudo-deterministic complexity, which is tight in the quantum setting. As applications we partially solve a related combinatorial coloring problem, and we separate random tree-like Resolution from its pseudo-deterministic version. In contrast to our lower bound, we show, surprisingly, that in the zero-error, average case setting, the three notions (deterministic, randomized, pseudo-deterministic) collapse.
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spelling oxford-uuid:41c51f17-d355-4afd-ae7f-1c002c7d2fe82022-03-26T14:45:48ZOn the pseudo-deterministic query complexity of NP search problemsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:41c51f17-d355-4afd-ae7f-1c002c7d2fe8EnglishSymplectic ElementsSchloss Dagstuhl - Leibniz-Zentrum für Informatik 2021Goldwasser, SImpagliazzo, RPitassi, TSanthanam, RWe study pseudo-deterministic query complexity - randomized query algorithms that are required to output the same answer with high probability on all inputs. We prove Ω(√n) lower bounds on the pseudo-deterministic complexity of a large family of search problems based on unsatisfiable random CNF instances, and also for the promise problem (FIND1) of finding a 1 in a vector populated with at least half one’s. This gives an exponential separation between randomized query complexity and pseudo-deterministic complexity, which is tight in the quantum setting. As applications we partially solve a related combinatorial coloring problem, and we separate random tree-like Resolution from its pseudo-deterministic version. In contrast to our lower bound, we show, surprisingly, that in the zero-error, average case setting, the three notions (deterministic, randomized, pseudo-deterministic) collapse.
spellingShingle Goldwasser, S
Impagliazzo, R
Pitassi, T
Santhanam, R
On the pseudo-deterministic query complexity of NP search problems
title On the pseudo-deterministic query complexity of NP search problems
title_full On the pseudo-deterministic query complexity of NP search problems
title_fullStr On the pseudo-deterministic query complexity of NP search problems
title_full_unstemmed On the pseudo-deterministic query complexity of NP search problems
title_short On the pseudo-deterministic query complexity of NP search problems
title_sort on the pseudo deterministic query complexity of np search problems
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