About the quantum mechanical speeding up of classical algorithms
Yuri Ozhigov

TL;DR
This paper introduces a quantum transformation called RDT that enables certain classical algorithms to be sped up significantly on quantum computers, specifically reducing computation time from T to approximately S√T.
Contribution
The paper presents the RDT, a novel quantum transformation, and proves it can accelerate classical 1D cellular automaton computations to a time complexity of O(S√T).
Findings
RDT enables polynomial-time quantum simulation of classical automata.
Quantum computation time is reduced from T to O(S√T).
Multiprocessor quantum systems with classical interaction achieve this speedup.
Abstract
This work introduces a relative diffusion transformation (RDT) - a simple unitary transformation which acts in a subspace, localized by an oracle. Such a transformation can not be fulfilled on quantum Turing machines with this oracle in polynomial time in general case. It is proved, that every function computable in time T and space S on classical 1-dimensional cellular automaton, can be computed with certainty in time O(S \sqrt T) on quantum computer with RDTs over the parts of intermediate products of classical computation. This requires multiprocessor, which consists of \sqrt T quantum devices each of O(S) size, working in parallel-serial mode and interacting by classical lows.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms · Quantum Information and Cryptography
