Quantum Machine Learning
4,297 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 4,297
Bridging quantum and classical descriptions of spin dynamics in a Dzyaloshinsky–Moriya trimer
Robert Wieser, Raúl Sánchez Galán
Bridging quantum physics and circuit design: A dynamic master equation model for silicon single-electron transistors
Amine Touati, Nabil Zeiri, Hamed Dehdashti Jahromi, Adel Kalboussi, Mohammed N. Murshed
Bridging the Quantum Divide: A Learning-Centric Quantum Hackathon for Underrepresented Students (Extended Version)
Fahimeh Bayeh, Linh Dinh, Dongho Lee, Scott Wesley
Broken Quantum: A Systematic Formal Verification Study of Security Vulnerabilities Across the Open-Source Quantum Computing Simulator Ecosystem
Dominik Blain
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