Support Vector Machines on Noisy Intermediate Scale Quantum Computers

09/26/2019
by   Jiaying Yang, et al.
0

Support vector machine algorithms are considered essential for the implementation of automation in a radio access network. Specifically, they are critical in the prediction of the quality of user experience for video streaming based on device and network-level metrics. Quantum SVM is the quantum analogue of the classical SVM algorithm, which utilizes the properties of quantum computers to speed up the algorithm exponentially. In this work, we derive an optimized preprocessing unit for a quantum SVM that allows classifying any two-dimensional datasets that are linearly separable. We further provide a result readout method of the kernel matrix generation circuit to avoid quantum tomography that, in turn, reduces the quantum circuit depth. We also derive a quantum SVM system based on an optimized HHL quantum circuit with reduced circuit depth.

READ FULL TEXT

page 2

page 3

page 4

page 5

page 6

page 7

page 8

page 10

research
05/10/2023

Enhancing Quantum Support Vector Machines through Variational Kernel Training

Quantum machine learning (QML) has witnessed immense progress recently, ...
research
12/16/2022

Variational Quantum Search with Exponential Speedup

With powerful quantum computers already built, we need more efficient qu...
research
06/14/2019

Support vector machines on the D-Wave quantum annealer

Kernel-based support vector machines (SVMs) are supervised machine learn...
research
02/16/2023

Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines

Support vector machines (SVMs) are a well-established classifier effecti...
research
01/17/2020

Grover's Algorithm and Many-Valued Quantum Logic

As the engineering endeavour to realise quantum computers progresses, we...
research
10/01/2020

An Ultra Lightweight CNN for Low Resource Circuit Component Recognition

In this paper, we present an ultra lightweight system that can effective...
research
08/09/2022

Quantum artificial vision for defect detection in manufacturing

In this paper we consider several algorithms for quantum computer vision...

Please sign up or login with your details

Forgot password? Click here to reset