Quantum Computing, Postselection, and Probabilistic Polynomial-Time
Abstract
I study the class of problems efficiently solvable by a quantum computer, given the ability to "postselect" on the outcomes of measurements. I prove that this class coincides with a classical complexity class called PP, or Probabilistic Polynomial-Time. Using this result, I show that several simple changes to the axioms of quantum mechanics would let us solve PP-complete problems efficiently. The result also implies, as an easy corollary, a celebrated theorem of Beigel, Reingold, and Spielman that PP is closed under intersection, as well as a generalization of that theorem due to Fortnow and Reingold. This illustrates that quantum computing can yield new and simpler proofs of major results about classical computation.
Cite
@article{arxiv.quant-ph/0412187,
title = {Quantum Computing, Postselection, and Probabilistic Polynomial-Time},
author = {Scott Aaronson},
journal= {arXiv preprint arXiv:quant-ph/0412187},
year = {2007}
}
Comments
8 pages, 1 figure. Supersedes the computational results in quant-ph/0401062