Active Learning on a Programmable Photonic Quantum Processor

no code implementations • 3 Aug 2022 • Chen Ding, Xiao-Yue Xu, Yun-Fei Niu, Shuo Zhang, Wan-su Bao, He-Liang Huang

Here, we design and implement two AL-enpowered variational quantum classifiers, to investigate the potential applications and effectiveness of AL in quantum machine learning.

Active Learning BIG-bench Machine Learning +1

Parameter-Parallel Distributed Variational Quantum Algorithm

no code implementations • 31 Jul 2022 • Yun-Fei Niu, Shuo Zhang, Chen Ding, Wan-su Bao, He-Liang Huang

Variational quantum algorithms (VQAs) have emerged as a promising near-term technique to explore practical quantum advantage on noisy intermediate-scale quantum (NISQ) devices.

Visual Question Answering (VQA)