Quantum Machine Learning
4,297 papers
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 1081-1092 of 4,297
QERA: A Quantum Economic Risk Assessment Framework for Blockchain Cryptographic Infrastructure
Babu Pillai, Aravinda S. Rao, Narayana Madineni, Yeliz Karaca, Elizabeth Chang
QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks
Inhoe Koo, Hyunho Cha, Jungwoo Lee
QGCL: Quantum-Guided Clause Learning for Cryptanalytic SAT
Walid El Maouaki, Alberto Marchisio, Muhammad Shafique
QHap: Quantum-Inspired Haplotype Phasing
Rui Zhang, Xian-Zhe Tao, Yibo Chen, Jiawei Zhang, Lei He, Dongming Fang, Lin Yang, Yuhui Sun, Qinyuan Zheng, Xinmeng Shi, Yang Zhou, Wanyi Chen, Chentao Yang, Man-Hong Yung, Jun-Han Huang
QiboAgent: a practitioner's guideline to open source assistants for Quantum Computing code development
Lorenzo Esposito, Andrea Papaluca, Stefano Carrazza
Qiskit QuantumKatas: Adapting Microsoft's Quantum Computing exercises for LLM evaluation
Juan Cruz-Benito, Ismael Faro
Qkabrine: A Joint Architecture, Encoding, and Hyperparameter Search Framework for Quantum Machine Learning
Eric Jagwara
QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting
Alberto Marchisio, Aayan Ebrahim, Nouhaila Innan, Muhammad Kashif, Muhammad Shafique
QLLVM: A Scalable Quantum-Classical Co-Compilation Framework based on LLVM
Yu Zhu, Qiming Du, Yuqiong Jin, Woji He, Hang Lian, Xin Zhou, Jinchen Xu, Zheng Shan
Qlustering for Data Clustering via Network-Based Quantum Transport
Shmuel Lorber, Yonatan Dubi
QMC-Net: Data-Aware Quantum Representations for Remote Sensing Image Classification
Md Aminur Hossain, Ayush V. Patel, Biplab Banerjee
QMDUC: quantum multi-channel data uploading convolution for image classification
Han Qi, Shengjun Wang, Hao Wang, Abdullah Gani, Lip Yee Por