When Machine Learning Meets Quantum Computers: A Case Study

Asia and South Pacific Design Automation Conference (ASP-DAC), 2020

18 December 2020

Weiwen Jiang

Jinjun Xiong

Yiyu Shi

ArXiv (abs)PDF HTML

Papers citing "When Machine Learning Meets Quantum Computers: A Case Study"

10 / 10 papers shown

Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators

246

23 May 2025

KirchhoffNet: A Scalable Ultra Fast Analog Neural NetworkInternational Conference on Computer Aided Design (ICCAD), 2023

404

24 Oct 2023

A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ DevicesInternational Conference on Quantum Computing and Engineering (QCE), 2023

252

19 Jul 2023

QuMoS: A Framework for Preserving Security of Quantum Machine Learning ModelInternational Conference on Quantum Computing and Engineering (QCE), 2023

341

23 Apr 2023

Review of Ansatz Designing Techniques for Variational Quantum Algorithms

Junhan Qin

303

07 Dec 2022

Quantum Neural Network Compression

415

04 Jul 2022

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs

Zhiding Liang

Caiwen Ding

311

08 Sep 2021

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow

Zhiding Liang

Jinjun Xiong

308

08 Sep 2021

Quantum Artificial Intelligence for the Science of Climate Change

320

28 Jul 2021

Hardware/Software Co-Exploration of Neural ArchitecturesIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2019

517

140

06 Jul 2019