Quantum Machine Learning
416 papers for year 2023
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 349-360 of 416
Shallow quantum circuits for deeper problems
Adrián Pérez-Salinas, Radoica Draškić, Jordi Tura, Vedran Dunjko
Significant improvement of fidelity for encoded quantum bell pairs at long and short-distance communication along with generalized circuit.
Shubha SEU, Rahman MS, Mahdy MRC.
Singlet-triplet-state readout in silicon-metal-oxide-semiconductor double quantum dots
Rong-Long Ma, Sheng-Kai Zhu, Zhen-Zhen Kong, Tai-Ping Sun, Ming Ni, Yu-Chen Zhou, Yuan Zhou, Gang Luo, Gang Cao, Gui-Lei Wang, Hai-Ou Li, Guo-Ping Guo
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari
Small insulator target detection based on multi‐feature fusion
Minan Tang, Kai Liang, Jiandong Qiu
Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
Sebastián V. Romero, Eneko Osaba, Esther Villar-Rodriguez, Antón Asla
Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach
Mátyás Koniorczyk, Krzysztof Krawiec, Ludmila Botelho, Nikola Bešinović, Krzysztof Domino
Solving The Vehicle Routing Problem via Quantum Support Vector Machines
Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie
Space-Efficient and Noise-Robust Quantum Factoring
Seyoon Ragavan, Vinod Vaikuntanathan
Spectral Density Classification For Environment Spectroscopy
Jessica Barr, Giorgio Zicari, Alessandro Ferraro, Mauro Paternostro
Speed limits of two-qubit gates with qudits
Bora Basyildiz, Casey Jameson, Zhexuan Gong
Squeezing as a resource for time series processing in quantum reservoir computing
Jorge García-Beni, Gian Luca Giorgi, Miguel C. Soriano, Roberta Zambrini