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.

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All sources 416 arXiv preprints 328 Crossref 63 Europe PMC 15 PubMed 2 DOAJ 8

Showing 193-204 of 416

Machine Learning for Practical Quantum Error Mitigation

Haoran Liao, Derek S. Wang, Iskandar Sitdikov, Ciro Salcedo, Alireza Seif, Zlatko K. Minev

2023 arXiv arXiv preprint

Machine learning on quantum experimental data toward solving quantum many-body problems

Gyungmin Cho, Dohun Kim

2023 arXiv arXiv preprint

Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states

J. W. T. Keeble, M. Drissi, A. Rojo-Francàs, B. Juliá-Díaz, A. Rios

2023 Crossref Physical Review A

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
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