Alexey Melnikov

Quantum Mach. Intell., December, 2023

An exponentially-growing family of universal quantum circuits.

[BibT_eX]

[DOI]

Pavel Sekatski

Leonid Fedichkin

Mach. Learn. Sci. Technol., September, 2023

Quantum Algorithms Applied to Satellite Mission Planning for Earth Observation.

[BibT_eX]

[DOI]

Markus Pflitsch

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Photovoltaic power forecasting using quantum machine learning.

[BibT_eX]

[DOI]

CoRR, 2023

Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis.

[BibT_eX]

[DOI]

CoRR, 2023

A supervised hybrid quantum machine learning solution to the emergency escape routing problem.

[BibT_eX]

[DOI]

Nathan Haboury

CoRR, 2023

Forecasting the steam mass flow in a powerplant using the parallel hybrid network.

[BibT_eX]

[DOI]

Andrii Kurkin

Jonas Hegemann

CoRR, 2023

Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes.

[BibT_eX]

[DOI]

CoRR, 2023

Quantum machine learning for image classification.

[BibT_eX]

[DOI]

CoRR, 2023

Parallel Hybrid Networks: an interplay between quantum and classical neural networks.

[BibT_eX]

[DOI]

Daria Kosichkina

CoRR, 2023

2022

Capturing Symmetries of Quantum Optimization Algorithms Using Graph Neural Networks.

[BibT_eX]

[DOI]

Ajinkya Deshpande

Symmetry, 2022

Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Hybrid quantum neural network for drug response prediction.

[BibT_eX]

[DOI]

Asel Sagingalieva

CoRR, 2022

Hyperparameter optimization of hybrid quantum neural networks for car classification.

[BibT_eX]

[DOI]

CoRR, 2022

Practical application-specific advantage through hybrid quantum computing.

[BibT_eX]

[DOI]

CoRR, 2022

2020

Setting up experimental Bell test with reinforcement learning.

[BibT_eX]

[DOI]

Pavel Sekatski

Nicolas Sangouard

CoRR, 2020

Machine learning transfer efficiencies for noisy quantum walks.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Machine learning for long-distance quantum communication.

[BibT_eX]

[DOI]

CoRR, 2019

Detecting quantum speedup by quantum walk with convolutional neural networks.

[BibT_eX]

[DOI]

Leonid Fedichkin

Alexander Alodjants

CoRR, 2019

2018

Benchmarking Projective Simulation in Navigation Problems.

[BibT_eX]

[DOI]

Adi Makmal

Hans J. Briegel

IEEE Access, 2018

2017

Active learning machine learns to create new quantum experiments.

[BibT_eX]

[DOI]

Hendrik Poulsen Nautrup

CoRR, 2017

2016

Meta-learning within Projective Simulation.

[BibT_eX]

[DOI]

IEEE Access, 2016

2015

Projective simulation with generalization.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Projective simulation applied to the grid-world and the mountain-car problem.

[BibT_eX]

[DOI]