45 citations · 134 across the 47 of their papers we have counts for
8 papers · 1 filter
First Experience with Real-Time Control Using Simulated VQC-Based Quantum Policies
Yize Sun, Mohamad Hagog, Marc Weber +4
This paper investigates the integration of quantum computing into offline reinforcement learning and the deployment of the resulting quantum policy in a real-time control hardware…
SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search
Yize Sun, Jiarui Liu, Zixin Wu +2
We introduce SA-DQAS, a novel framework that enhances Differentiable Quantum Architecture Search (DQAS) by integrating a self-attention mechanism, enabling more effective quantum c…
Differentiable Quantum Architecture Search For Job Shop Scheduling Problem
Yize Sun, Jiarui Liu, Yunpu Ma +1
The Job shop scheduling problem (JSSP) plays a pivotal role in industrial applications, such as signal processing (SP) and steel manufacturing, involving sequencing machines and jo…
Quantum Architecture Search with Unsupervised Representation Learning
Yize Sun, Zixin Wu, Volker Tresp +1
Unsupervised representation learning presents new opportunities for advancing Quantum Architecture Search (QAS) on Noisy Intermediate-Scale Quantum (NISQ) devices. QAS is designed…
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
Yize Sun, Yunpu Ma, Volker Tresp
Differentiable quantum architecture search (DQAS) is a gradient-based framework to design quantum circuits automatically in the NISQ era. It was motivated by such as low fidelity o…
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture
Alessandro Giovagnoli, Yunpu Ma, Volker Tresp
Quantum Machine Learning (QML) is a recent and rapidly evolving field where the theoretical framework and logic of quantum mechanics are employed to solve machine learning tasks. V…
Quantum Machine Learning Algorithm for Knowledge Graphs
Yunpu Ma, Volker Tresp
Semantic knowledge graphs are large-scale triple-oriented databases for knowledge representation and reasoning. Implicit knowledge can be inferred by modeling and reconstructing th…
Variational Quantum Circuit Model for Knowledge Graphs Embedding
Yunpu Ma, Volker Tresp, Liming Zhao +1
In this work, we propose the first quantum Ansätze for the statistical relational learning on knowledge graphs using parametric quantum circuits. We introduce two types of variatio…