Quantum search in sets with prior knowledge

07/21/2022
by   Umut Çalıkyılmaz, et al.
0

Quantum Search Algorithm made a big impact by being able to solve the search problem for a set with N elements using only O(√(N)) steps. Unfortunately, it is impossible to reduce the order of the complexity of this problem, however, it is possible to make improvements by a constant factor. In this paper we pursued such improvements for search problem in sets with known probability distributions. We have shown that by using a modified version of quantum search algorithm, it is possible to decrease the expected number of iterations for such sets.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/17/2023

Quantum Algorithm for Multiplicative Linear Logic

This paper describes a quantum algorithm for proof search in sequent cal...
research
09/18/2020

Quantum Search with Prior Knowledge

Search-base algorithms have widespread applications in different scenari...
research
10/08/2018

Constant Time Quantum search Algorithm Over A Datasets: An Experimental Study Using IBM Q Experience

In this work, a constant time Quantum searching algorithm over a dataset...
research
11/17/2021

Interpreting multi-variate models with setPCA

Principal Component Analysis (PCA) and other multi-variate models are of...
research
12/08/2022

Optimizing Integrated Information with a Prior Guided Random Search Algorithm

Integrated information theory (IIT) is a theoretical framework that prov...
research
09/28/2016

The Famine of Forte: Few Search Problems Greatly Favor Your Algorithm

Casting machine learning as a type of search, we demonstrate that the pr...
research
10/10/2022

Depth-First Grover Search Algorithm on Hybrid Quantum-Classical Computer

We demonstrated the detailed construction of the hybrid quantum-classica...

Please sign up or login with your details

Forgot password? Click here to reset