Quantum Machine Learning
3,957 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 169-180 of 3,957
Backdoor Threats in Variational Quantum Circuits: Taxonomy, Attacks, and Defenses
Lei Jiang, Fan Chen
BARFI-Q: Quantum-Enhanced Block Attention Residual Fusion Framework for Multivariate Time-Series Forecasting in Atom Interferometry
Muhammad Bilal Akram Dastagir, Omer Tariq, Safaa Alqrinawi, Shaikha Al-Naimi, Ahmed Farouk, Saif Al-Kuwari
Barren Plateaus Beyond Observable Concentration
Zi-Shen Li, Bujiao Wu, Xiao-Wei Li, Man-Hong Yung
Bayesian quantum sensing using graybox machine learning
Akram Youssry, Stefan Todd, Patrick Murton, Muhammad Junaid Arshad, Alberto Peruzzo, Cristian Bonato
Bayesian rational agents in iterated quantum games
John B. DeBrota, Peter J. Love
Bayesian Sequential Verification for Budget-Aware Quantum Program Testing
Lei Zhang
Benchmarking deep and hybrid quantum classical models for Gallo Roman ceramic sherd classification
CHAIDRON C, Imrani HT.
Benchmarking Encoding Families in Quantum Neural Networks Under Fixed Circuit Area for Frequency Spectrum and Trainability
Martyna Czuba, Patrick Holzer, Hein Zay Yar Oo
Benchmarking fault-tolerant quantum computing hardware via QLOPS
Linghang Kong, Fang Zhang, Jianxin Chen
Benchmarking Quantum Annealing for a Greenhouse-Inspired Control QUBO
Hamzeh Alavirad, Maryam Bahrami Zanjani
Benchmarking Quantum Kernel Support Vector Machines Against Classical Baselines on Tabular Data: A Rigorous Empirical Study with Hardware Validation
Siavash Kakavand, Christoph Strohmeyer, Michael Schlotter
Benchmarking quantum kernels and modern vision models for compound facial expression recognition.
Florestiyanto MY, Surjono HD, Jati H.