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Johannes Klepsch
Observed names:
J. Klepsch,
Klepsch, Johannes
Institutions:
BMW (Germany),
BMW Group (Germany)
Observed institutions:
BMW (Germany),
Fraunhofer Institute for Applied Information Technology,
Munich Center for Quantum Science and Technology,
BMW Group (Germany),
Technical University of Munich
ORCID:
0000-0002-8247-9590
Observed ORCID:
0000-0002-8247-9590
OpenAlex ID:
A5075098137
Industry quantum computing applications
2021
·
Andreas Bayerstadler
, Guillaume Becquin
, et al.
·
EPJ Quantum Technology
·
198
PDF
Neutral atom quantum computing hardware: performance and end-user perspective
2023
·
Karen Wintersperger
, Florian Dommert
, et al.
·
EPJ Quantum Technology
·
117
PDF
Prediction of functional ARMA processes with an application to traffic data
2016
·
J. Klepsch
, C. Klüppelberg
, et al.
·
Econometrics and Statistics
·
82
PDF
QUARK: A Framework for Quantum Computing Application Benchmarking
2022
·
Jernej Rudi Finzgar
, Philipp Ross
, et al.
·
IEEE International Conference on Quantum Computing and Engineering (QCE)
·
54
PDF
Quantum Computing: Towards Industry Reference Problems
2021
·
Andre Luckow
, Johannes Klepsch
, et al.
·
Digitale Welt
·
54
PDF
An innovations algorithm for the prediction of functional linear processes
2017
·
J. Klepsch
, C. Klüppelberg
·
Journal of Multivariate Analysis
·
50
PDF
A Characterization of Quantum Generative Models
2024
·
Carlos A. Riofrio
, Oliver Mitevski
, et al.
·
ACM Transactions on Quantum Computing
·
31
PDF
Quantum Computing Techniques for Multi-knapsack Problems
2023
·
Abhishek Awasthi
, Francesco Bär
, et al.
·
Lecture notes in networks and systems
·
31
PDF
Optimization of Robot-Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms
2022
·
Martin J.A. Schuetz
, J. Kyle Brubaker
, et al.
·
Physical Review Applied
·
25
PDF
Practical overview of image classification with tensor-network quantum circuits
2023
·
Diego Guala
, Shaoming Zhang
, et al.
·
Scientific Reports
·
20
PDF
Quantum-inspired fluid simulation of two-dimensional turbulence with GPU acceleration
2025
·
Leonhard Hölscher
, Pooja Rao
, et al.
·
Physical Review Research
·
15
Estimating invertible functional time series
2017
·
Alexander Aue
, Johannes Klepsch
·
Contributions to statistics
·
13
A Serverless Distributed Ledger for Enterprises
2022
·
Johannes Sedlmeir
, Tim Wagner
, et al.
·
Hawaii International Conference on System Sciences (HICSS)
·
12
Estimating functional time series by moving average model fitting
2017
·
Aue, Alexander
, Klepsch, Johannes
·
arXiv (Cornell University)
·
11
PDF
Exploring privacy-enhancing technologies in the automotive value chain
2021
·
Gonzalo Munilla Garrido
, Kaja Schmidt
, et al.
·
IEEE International Conference on Big Data (BigData)
·
10
PDF
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK
2023
·
Florian J. Kiwit
, Marwa Marso
, et al.
·
IEEE International Conference on Quantum Computing and Engineering (QCE)
·
6
PDF
Model Free Inference on Multivariate Time Series with Conditional Correlations
2020
·
Dimitrios Thomakos
, Johannes Klepsch
, et al.
·
Stats
·
3
PDF
CRGC: A Practical Framework for Constructing Reusable Garbled Circuits
2022
·
Christopher Harth-Kitzerow
, Georg Carle
, et al.
·
International Conference on Security and Cryptography
·
2
Variable Selection for the Prediction of C[0,1]-Valued Autoregressive Processes using Reproducing Kernel Hilbert Spaces
2018
·
Beatriz Bueno-Larraz
, Johannes Klepsch
·
Technometrics
·
2
Variable selection for the prediction of C[0,1]-valued AR processes using RKHS
2017
·
Bueno-Larraz, Beatriz
, Klepsch, Johannes
·
arXiv (Cornell University)
·
1
PDF
Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications
2026
·
Sturm, Jakob
, Pichlmeier, Josef
, et al.
·
arXiv (Cornell University)
PDF
Towards solving industrial integer linear programs with decoded quantum interferometry
2026
·
Francesc Sabater
, Ouns El Harzli
, et al.
·
Quantum Science and Technology
Large Industry Models: Anwendungen in der Automobilindustrie
2026
·
Andre Luckow
, Johannes Klepsch
, et al.
·
Springer eBooks
Large Industry Models: Konzept und Reifegradmodell
2026
·
Andre Luckow
, Johannes Klepsch
, et al.
·
Springer eBooks
TAQO-PAM: Maßgeschneiderte Quantenoptimierung zur Planung und Steuerung industrieller Fertigung; Teilvorhaben: Industrielles Quantencomputing im Kontext OEM-Produktionsplanung
2025
·
Tham, Carsten
, Klepsch, Johannes
, et al.
·
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Works count:
34
Citation count:
740
H-index:
12
I10-index:
15
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