Hans J Briegel

Hans J Briegel

Universität Innsbruck

H-index: 70

Europe-Austria

About Hans J Briegel

Hans J Briegel, With an exceptional h-index of 70 and a recent h-index of 46 (since 2020), a distinguished researcher at Universität Innsbruck,

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias

Parity Quantum Computing as YZ-Plane Measurement-Based Quantum Computing

Optimal foraging strategies can be learned

Learning how to find targets in the micro-world: the case of intermittent active Brownian particles

Optimal foraging strategies can be learned and outperform L\'evy walks

The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications

How a minimal learning agent can infer the existence of unobserved variables in a complex environment

Quantum circuit synthesis with diffusion models

Hans J Briegel Information

University

Position

Professor of Theoretical Physics

Citations(all)

31909

Citations(since 2020)

11592

Cited By

24881

hIndex(all)

70

hIndex(since 2020)

46

i10Index(all)

158

i10Index(since 2020)

107

Email

University Profile Page

Universität Innsbruck

Google Scholar

View Google Scholar Profile

Top articles of Hans J Briegel

Title

Journal

Author(s)

Publication Date

Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias

arXiv preprint arXiv:2402.10192

Philip A. LeMaitre

Marius Krumm

Hans J. Briegel

2024/2/15

Parity Quantum Computing as YZ-Plane Measurement-Based Quantum Computing

arXiv preprint arXiv:2401.10079

Isaac D Smith

Hendrik Poulsen Nautrup

Hans J Briegel

2024/1/18

Optimal foraging strategies can be learned

New Journal of Physics

Gorka Muñoz-Gil

Andrea López-Incera

Lukas J Fiderer

Hans J Briegel

2024/1/8

Learning how to find targets in the micro-world: the case of intermittent active Brownian particles

Soft Matter

Michele Caraglio

Harpreet Kaur

Lukas J Fiderer

Andrea López-Incera

Hans J Briegel

...

2024

Optimal foraging strategies can be learned and outperform L\'evy walks

arXiv preprint arXiv:2303.06050

Gorka Muñoz-Gil

Andrea López-Incera

Lukas J Fiderer

Hans J Briegel

2023/3/10

The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications

Quantum

Isaac D Smith

Marius Krumm

Lukas J Fiderer

Hendrik Poulsen Nautrup

Hans J Briegel

2023/12/12

How a minimal learning agent can infer the existence of unobserved variables in a complex environment

Minds and Machines

Benjamin Eva

Katja Ried

Thomas Müller

Hans J Briegel

2023/3

Quantum circuit synthesis with diffusion models

arXiv preprint arXiv:2311.02041

Florian Fürrutter

Gorka Muñoz-Gil

Hans J Briegel

2023/11/3

Towards interpretable quantum machine learning via single-photon quantum walks

arXiv preprint arXiv:2301.13669

Fulvio Flamini

Marius Krumm

Lukas J Fiderer

Thomas Müller

Hans J Briegel

2023/1/31

Variational measurement-based quantum computation for generative modeling

arXiv preprint arXiv:2310.13524

Arunava Majumder

Marius Krumm

Tina Radkohl

Hendrik Poulsen Nautrup

Sofiene Jerbi

...

2023/10/20

Quantum machine learning beyond kernel methods

Nature Communications

Sofiene Jerbi

Lukas J Fiderer

Hendrik Poulsen Nautrup

Jonas M Kübler

Hans J Briegel

...

2023/1/31

Automated gadget discovery in the quantum domain

Machine Learning: Science and Technology

Lea M Trenkwalder

Andrea López-Incera

Hendrik Poulsen Nautrup

Fulvio Flamini

Hans J Briegel

2023/9/6

Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning

arXiv preprint arXiv:2307.05744

Francesco Preti

Michael Schilling

Sofiene Jerbi

Lea M Trenkwalder

Hendrik Poulsen Nautrup

...

2023/7/12

Measurement-based quantum computation from Clifford quantum cellular automata

arXiv preprint arXiv:2312.13185

Hendrik Poulsen Nautrup

Hans J Briegel

2023/12/20

Operationally meaningful representations of physical systems in neural networks

Machine Learning: Science and Technology

Hendrik Poulsen Nautrup

Tony Metger

Raban Iten

Sofiene Jerbi

Lea M Trenkwalder

...

2022/12/16

Classical-Quantum Combs, their Min-Entropy and their Measurement-Based Applications

Isaac D Smith

Marius Krumm

Lukas J Fiderer

Hendrik Poulsen Nautrup

Hans J Briegel

2022/12

Automated Gadget Discovery in Science

arXiv preprint arXiv:2212.12743

Lea M Trenkwalder

Andrea López Incera

Hendrik Poulsen Nautrup

Fulvio Flamini

Hans J Briegel

2022/12/24

Quantum speed-ups in reinforcement learning

Valeria Saggio

Beate E Asenbeck

Arne Hamann

Teodor Strömberg

Peter Schiansky

...

2021/8/1

Experimental quantum speed-up in reinforcement learning agents

Nature

Valeria Saggio

Beate E Asenbeck

Arne Hamann

Teodor Strömberg

Peter Schiansky

...

2021/3/11

Quantum enhancements for deep reinforcement learning in large spaces

PRX Quantum

Sofiene Jerbi

Lea M Trenkwalder

Hendrik Poulsen Nautrup

Hans J Briegel

Vedran Dunjko

2021/2/22

See List of Professors in Hans J Briegel University(Universität Innsbruck)