Quantum Optimization
180 papers from Crossref
Quantum Optimization Research Context
This Quantum Articles category organizes published quantum research papers so readers can browse focused work by topic, source, and year.
Showing 25-36 of 180
DiffQ: Unified Parameter Initialization for Variational Quantum Algorithms Via Diffusion Models
Chi Zhang, Mengxin Zheng, Qian Lou, Fan Chen
Digital twins for compact hybrid quantum-classical learning in FMCW radar detection
Sebastian Ratto V., Ahmed N. Sayed, Arien Sligar, Jose R. Rosas-Bustos, Omar M. Ramahi, George Shaker
Efficient variational quantum Korkin-Zolotarev algorithm for solving shortest-vector problems
Xiaokai Hou, Guoqing Zhou, Shan Jin, Yang Li, Wei Huang, Ao Sun, Xiaoting Wang, Bingjie Xu
Elevating Variational Quantum Semidefinite Programs for Polynomial Objectives
Iria W. Wang, Robin Brown, Taylor L. Patti, Anima Anandkumar, Marco Pavone, Susanne F. Yelin
Enhanced hybrid quantum classical neural networks with novel encoding techniques for image recognition
Kandula Aditya Sri Krishna Raghav Chowdary, T. Janani
Enhancing B35 biodiesel compression ignition via hydrogen addition: experimental and quantum analysis
Abid Fahreza Alphanoda, Arief Yulistianto, Ismail Ismail
Exact gradient for general cost functions in variational quantum algorithms
Anonymous
Explainable Quantum-Logical Multi-Agent Systems for Autonomous Scientific Discovery in High-Dimensional Research Landscapes
Murali Krishna Pasupuleti
Exploring Trainability of Quantum Fourier Models for a Data-Tailored Encoding Scheme
Felix Paul, Peter Jung, Björn Minneker
Expressibility and Trainability Analysis of Hardware-Efficient Ansatz Variants in Variational Quantum Eigensolver with a Linear Mixing Model
Rasyid Ustman Ramadhan, Luthfiya Kurnia Permatahati, Teguh Budi Prayitno, Yanoar P. Sarwono
Feasibility study of quantum-classical hybrid networks for patient-specific quality assurance in radiotherapy
Heling Zhu, Junhao Su, Bolun Wu, Qizhen Zhu, Zhiqun Wang, Lin Yao, Wending Zhao, Xianzhi Huang, Bo Yang
FedQmc: A Federated Learning Backdoor Defense Method Based on Quantum State Encoding and Multiscale Aggregation in Industrial Internet of Things
Yuncan Tang, Lina Ni, Jinquan Zhang, Yongquan Liang