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 241-252 of 416

Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm

Till Muser, Elias Zapusek, Vasilis Belis, Florentin Reiter

2023 arXiv arXiv preprint

Provable bounds for noise-free expectation values computed from noisy samples

Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz, Matthis Lehmkuehler, Stefan Woerner

2023 arXiv arXiv preprint

Pulsar Classification: Comparing Quantum Convolutional Neural Networks and Quantum Support Vector Machines

Donovan Slabbert, Matt Lourens, Francesco Petruccione

2023 arXiv arXiv preprint

Q-Pandora Unboxed: Characterizing Noise Resilience of Quantum Error Correction Codes

Chatterjee A, Das S, Ghosh S.

2023 Europe PMC Europe PMC

QASMTrans: A QASM based Quantum Transpiler Framework for NISQ Devices

Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Stein, Yufei Ding, Eddy Z. Zhang, Travis S. Humble, Ang Li

2023 arXiv arXiv preprint

qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation

Stan van der Linde, Willem de Kok, Tariq Bontekoe, Sebastian Feld

2023 arXiv arXiv preprint

Qibolab: an open-source hybrid quantum operating system

Stavros Efthymiou, Alvaro Orgaz-Fuertes, Rodolfo Carobene, Juan Cereijo, Andrea Pasquale, Sergi Ramos-Calderer, Simone Bordoni, David Fuentes-Ruiz, Alessandro Candido, Edoardo Pedicillo, Matteo Robbiati, Yuanzheng Paul Tan, Jadwiga Wilkens, Ingo Roth, José Ignacio Latorre, Stefano Carrazza

2023 arXiv arXiv preprint

Qibosoq: an open-source framework for quantum circuit RFSoC programming

Rodolfo Carobene, Alessandro Candido, Javier Serrano, Alvaro Orgaz-Fuertes, Andrea Giachero, Stefano Carrazza

2023 arXiv arXiv preprint

QKSAN: A Quantum Kernel Self-Attention Network

Ren-Xin Zhao, Jinjing Shi, Xuelong Li

2023 arXiv arXiv preprint

QonFusion -- Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion

Shlomo Kashani

2023 arXiv arXiv preprint

QPMeL - Quantum-Aware Classically-Trained Embeddings via Projective Metric Learning

Vinayak Sharma, Ashish Padhy, Sourav Behera, Lord Sen, Shyamapada Mukherjee, Aviral Shrivastava

2023 arXiv arXiv preprint

QSweep: Pulse-Optimal Single-Qudit Synthesis

Ed Younis, Noah Goss

2023 arXiv arXiv preprint
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