Federated Quantum Machine Learning

03/22/2021
by   Samuel Yen-Chi Chen, et al.
191

Distributed training across several quantum computers could significantly improve the training time and if we could share the learned model, not the data, it could potentially improve the data privacy as the training would happen where the data is located. However, to the best of our knowledge, no work has been done in quantum machine learning (QML) in federation setting yet. In this work, we present the federated training on hybrid quantum-classical machine learning models although our framework could be generalized to pure quantum machine learning model. Specifically, we consider the quantum neural network (QNN) coupled with classical pre-trained convolutional model. Our distributed federated learning scheme demonstrated almost the same level of trained model accuracies and yet significantly faster distributed training. It demonstrates a promising future research direction for scaling and privacy aspects.

READ FULL TEXT

page 5

page 8

page 10

page 12

research
05/30/2021

Quantum Federated Learning with Quantum Data

Quantum machine learning (QML) has emerged as a promising field that lea...
research
06/16/2021

QuantumFed: A Federated Learning Framework for Collaborative Quantum Training

With the fast development of quantum computing and deep learning, quantu...
research
09/02/2022

Exact Decomposition of Quantum Channels for Non-IID Quantum Federated Learning

Federated learning refers to the task of performing machine learning wit...
research
11/12/2022

Quantum Split Neural Network Learning using Cross-Channel Pooling

In recent years, quantum has been attracted by various fields such as qu...
research
02/27/2021

Scalable federated machine learning with FEDn

Federated machine learning has great promise to overcome the input priva...
research
10/27/2021

Subtleties in the trainability of quantum machine learning models

A new paradigm for data science has emerged, with quantum data, quantum ...
research
12/05/2021

Quantum Machine Learning for Radio Astronomy

In this work we introduce a novel approach to the pulsar classification ...

Please sign up or login with your details

Forgot password? Click here to reset