An exact quantum order finding algorithm and its applications

05/06/2022
by   Muhammad Imran, et al.
0

We present an efficient exact quantum algorithm for order finding problem when a multiple m of the order r is known. The algorithm consists of two main ingredients. The first ingredient is the exact quantum Fourier transform proposed by Mosca and Zalka in [MZ03]. The second ingredient is an amplitude amplification version of Brassard and Hoyer in [BH97] combined with some ideas from the exact discrete logarithm procedure by Mosca and Zalka in [MZ03]. As applications, we show how the algorithm derandomizes the quantum algorithm for primality testing proposed by Donis-Vela and Garcia-Escartin in [DVGE18], and serves as a subroutine of an efficient exact quantum algorithm for finding primitive elements in arbitrary finite fields. .

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/08/2022

An exact quantum hidden subgroup algorithm and applications to solvable groups

We present a polynomial time exact quantum algorithm for the hidden subg...
research
03/09/2021

Machine Learning the period finding algorithm

We use differentiable programming and gradient descent to find unitary m...
research
05/27/2022

Exact bounds on the amplitude and phase of the interval discrete Fourier transform in polynomial time

We elucidate why an interval algorithm that computes the exact bounds on...
research
07/26/2022

QFT-based Homogenization

Efficient numerical characterization is a key problem in composite mater...
research
08/27/2020

Quantum information theory and Fourier multipliers on quantum groups

In this paper, we compute the exact value of the classical capacity and ...
research
05/19/2022

Quantum Money Generated by Multiple Untrustworthy Banks

While classical money can be copied, it is impossible to copy quantum mo...
research
12/17/2020

Forward interval propagation through the Fourier discrete transform

In this paper an algorithm for the forward interval propagation on the a...

Please sign up or login with your details

Forgot password? Click here to reset