Affiliations: Faculty of Computing, University of Latvia, Raina bulv. 19, Rīga, LV-1586, Latvia. [email protected] | Department of Computer Engineering, Boğaziçi University, Bebek 34342 İstanbul, Turkey. [email protected]
Note: [] Address for correspondence: Faculty of Computing, University of Latvia, Raina bulv. 19, Rīga, LV-1586, Latvia Yakaryılmaz was partially supported by TÜBİTAK with grant 108E142 and the FP7 FET-Open project QCS.
Note: [] Say's work was partially supported by TÜBİTAK with grant 108E142.
Abstract: It is a widely believed, though unproven, conjecture that the capability of postselection increases the language recognition power of both probabilistic and quantum polynomial-time computers. It is also unknown whether polynomial-time quantum machines with postselection are more powerful than their probabilistic counterparts with the same resource restrictions. We approach these problems by imposing additional constraints on the resources to be used by the computer, and are able to prove for the first time that postselection does augment the computational power of both classical and quantum computers, and that quantum does outperform probabilistic in this context, under simultaneous time and space bounds in a certain range. We also look at postselected versions of space-bounded classes, as well as those corresponding to error-free and one-sided error recognition, and provide classical characterizations. It is shown that NL would equal RL if the randomized machines had the postselection capability.
