Quantum Machine Learning
4,009 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 1321-1332 of 4,009
Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement.
Dudas J, Carles B, Gouzien E, Grollier J, Marković D
trainsum -- A Python package for quantics tensor trains
Paul Haubenwallner, Matthias Heller
Trans-dimensional Hamiltonian model selection and parameter estimation from sparse, noisy data
Abigail N. Poteshman, Jiwon Yun, Tim H. Taminiau, Giulia Galli
Transdermal needle-free drug delivery approaches and activation mechanism.
Sasikala A, Tran DT, Zhang J, Nguyen NT
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
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
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.
Turbocharging EV battery SOH prediction with Quantum-Inspired channel attention
Deqi Hong, Liu Bin, Yong Zhang, Hong Zhao