Quantum Machine Learning
521 papers for year 2024
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 241-252 of 521
mapPat: tracking pathogens evolution in space and time
Erika Ferrandi, Graziano Pesole, Matteo Chiara
Mapping the Field of Quantum Dots Literature: Bibliographic Coupling and Cited Reference
Sargunapathi Rajendran, Jeyshankar Ramalingam, Thanuskodi Shanmugam
Mathematical Approaches to Quantum Computing Algorithms
Bijumon Ramalayathil
Measurement-based uncomputation of quantum circuits for modular arithmetic
Alessandro Luongo, Antonio Michele Miti, Varun Narasimhachar, Adithya Sireesh
MEMO-QCD: quantum density estimation through memetic optimisation for quantum circuit design
Juan E. Ardila-García, Vladimir Vargas-Calderón, Fabio A. González, Diego H. Useche, Herbert Vinck-Posada
MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit Design
Juan E. Ardila-García, Vladimir Vargas-Calderón, Fabio A. González, Diego H. Useche, Herbert Vinck-Posada
Metaanalyzing The Effect of Quantum Teaching Model on The Competence of Understanding Science Learning Concepts
Mardia Roza Tanjung, Nici Jumatul Fitri, Riri Ayudia
Microwave signal processing using an analog quantum reservoir computer.
Senanian A, Prabhu S, Kremenetski V, Roy S, Cao Y, Kline J, Onodera T, Wright LG, Wu X, Fatemi V, McMahon PL.
Minimalistic and Scalable Quantum Reservoir Computing Enhanced with Feedback
Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data
Gabriele Agliardi, Giorgio Cortiana, Anton Dekusar, Kumar Ghosh, Naeimeh Mohseni, Corey O'Meara, Víctor Valls, Kavitha Yogaraj, Sergiy Zhuk
Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo
Jason Zev Ludmir, Yuqian Huo, Nicholas S. DiBrita, Tirthak Patel
Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models
Shailendra Bhandari, Pedro Lincastre, Pedro Lind