Quantum Machine Learning
4,265 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 241-252 of 4,265
C2NP: A Benchmark for Learning Scale-Dependent Geometric Invariances in 3D Materials Generation
Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban
Cache Hierarchy and Vectorization Analysis of Lindblad Master Equation Simulation for Near-Term Quantum Control
Rylan Malarchick
Calorific value measurement of large-particle coal using NIRS-XRF fusion spectroscopy and nonlinear residual correction: a PLS-AE-RR model framework.
Qiao Y, Liu R, Li B, Gao R, Li J, Zhang L
Can machine learning for quantum-gas experiments be explainable?
I. B. Spielman amd J. P. Zwolak
Canonical quantization of a memristive leaky integrate-and-fire neuron circuit
Dean Brand, Domenica Dibenedetto, Francesco Petruccione
Canonical quantization of neurons
Alexander He, Nana Liu, Mark M. Wilde
Carbon dots-based 'two-pronged' strategy for dual-mode rifampicin sensing: From laboratory to smartphone-assisted field testing.
Pan ZW, Du TT, Wu Q, Wang MT, Pan H, Zhang T, Liu Q, Yi WJ
Casimir interactions as a probe of broadband optical response
Calum F. Shelden, Jeremy N. Munday
Causal inference and explainable artificial intelligence based quantum deep learning for remaining useful lifetime prediction
Manoranjan Gandhudi, Alphonse P․J․A․, Sharan Srinivas, Gangadharan G․R․
Causal-Inference Machine Learning for Unveiling Hydroxyl Radical Reactivity with Antibiotics in Water Purification.
Zou S, Li Z, Dai Y, Miao J, Zhao Z, Hu L, Zhao H
Cautious optimism for deep parameterized quantum circuits
Marie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto, Aroosa Ijaz, Alissa Wilms, Jens Eisert, Evert van Nieuwenburg, Vedran Dunjko
Celebrating 20 Years of SAINT: Leading the Future of Nanoscience through Convergence and Innovation.
Jeon I, Yoo PJ, Yoo JB, Lee S