דין דורון

אקדמי בכיר

On the de-randomization of space-bounded approximate counting problems

Dean Doron, Amnon Ta-Shma

It was recently shown that SVD and matrix inversion can be approximated in quantum log-space [1] for well formed matrices. This can be interpreted as a fully logarithmic quantum approximation scheme for both problems. We show that if prBQL=prBPL then every fully logarithmic quantum approximation scheme can be replaced by a probabilistic one. Hence, if classical algorithms cannot approximate the above functions in logarithmic space, then there is a gap already for languages, namely, prBQL prBPL. On the way we simplify a proof of Goldreich for a similar statement for time bounded probabilistic algorithms. We show that our simplified algorithm works also in the space bounded setting (for a large set of functions) whereas Goldreich's approach does not seem to apply in the space bounded setting.

שפת פרסום אנגלית
דפים 750-753
כתב עת Information Processing Letters
כרך 115
נושא מספר 10
סטטוס פרסום פורסם - 15.09.2014

Keywords

Approximation algorithms
Computational complexity
Randomized algorithms
Space bounded approximation schemes
Space bounded computation
Space bounded quantum computation

ASJC Scopus subject areas

Theoretical Computer Science
Signal Processing
Information Systems
Computer Science Applications
גישה למסמך
10.1016/j.ipl.2015.03.005
קבצים וקישורים אחרים
Link to publication in Scopus