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.

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Showing 2521-2532 of 3,957

Machine Learning Quantum Systems with Magnetic p-bits

Shuvro Chowdhury, Kerem Y. Camsari

2023 arXiv arXiv preprint

Machine learning unveils multiple Pauli blockades in the transport spectroscopy of bilayer graphene double-quantum dots

Anuranan Das, Adil Khan, Ankan Mukherjee, Bhaskaran Muralidharan

2023 arXiv arXiv preprint

Measuring Wigner functions of quantum states of light in the undergraduate laboratory

Juan-Rafael Álvarez, Andrés Martínez Silva, Alejandra Valencia

2023 arXiv arXiv preprint

MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation

Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao

2023 arXiv arXiv preprint

Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology

Federico Belliardo, Fabio Zoratti, Florian Marquardt, Vittorio Giovannetti

2023 arXiv arXiv preprint

MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers

Daniel Silver, Tirthak Patel, William Cutler, Aditya Ranjan, Harshitta Gandhi, Devesh Tiwari

2023 arXiv arXiv preprint

MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Nils Quetschlich, Lukas Burgholzer, Robert Wille

2023 arXiv arXiv preprint

Multi-Scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models

Tianyi Li, Alessandra S. Lanotte, Michele Buzzicotti, Fabio Bonaccorso, Luca Biferale

2023 Crossref Atmosphere

Multi-variable integration with a variational quantum circuit

Juan M. Cruz-Martinez, Matteo Robbiati, Stefano Carrazza

2023 arXiv arXiv preprint

Multithreaded parallelism for heterogeneous clusters of QPUs

Philipp Seitz, Manuel Geiger, Christian B. Mendl

2023 arXiv arXiv preprint

Mutual information maximizing quantum generative adversarial networks

Mingyu Lee, Myeongjin Shin, Junseo Lee, Kabgyun Jeong

2023 arXiv arXiv preprint

Neural Networks for Programming Quantum Annealers

Samuel Bosch, Bobak Kiani, Rui Yang, Adrian Lupascu, Seth Lloyd

2023 arXiv arXiv preprint
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