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 1597-1608 of 4,297
Transdermal needle-free drug delivery approaches and activation mechanism.
Sasikala A, Tran DT, Zhang J, Nguyen NT
Transferability of Quantum Feature Maps from Simulation to Hardware in Healthcare Data
Muhammad Minoar Hossain, Safiul Haque Chowdhury, Md. Hasibul Hassan Himal, Arslan Munir
Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization
Piotr Malkowski, Domenik Eichhorn, Joshua Ammermann, Rinor Kelmendi, Nick Poser, Patrick Hopf, Ina Schaefer
Treewidth-Aware Gate Cut Selection for Reducing Transpilation Overhead on Superconducting Quantum Devices
Hana Ebi, Shin Nishio, Takahiko Satoh
Tsim: Fast Universal Simulator for Quantum Error Correction
Rafael Haenel, Xiuzhe Luo, Chen Zhao
TT-net: Quantum Inspired Tensor Network Denoising in Conditional GANs
Michal A. Sterzel, Marko J. Rančić
TTEA: designing a quantum-ready and energy-conscious encryption model for secure IoT environments.
Abdelaal MA, Moustafa AI, Saleh H, Afifi MYI
Tucker iterative quantum state preparation
Carsten Blank, Israel F. Araujo
Tunable dispersion and conductivity-induced superluminal dynamics in hybrid quantum dot nanostructures
Muhammad Idrees, Yuee Xie, Hui-Jun Li, Fazal Badshah, Zareen A. Khan
Tuning Mechanism and Machine Learning Prediction of Second Harmonic Generation in Modified Tietz Quantum Wells
Meilin hu, Salvatore Amoruso, Jijil Nivas, Jian-Hui Yuan, Zhihai Zhang
TuniQ: Autotuning Compilation Passes for Quantum Workloads at Scale for Effectiveness and Efficiency
Mohammad Abrarul Hasanat, Jason Ludmir, Tirthak Patel, Rohan Basu Roy
TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
Abbas A.