Georg Hahn

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 55

Top Topics

Chronic Obstructive Pulmonary Disease

Molecular Dynamics

Top Venues

Publications

Georg Hahn, Dmitry Prokopenko, Julian Hecker, Sharon Marie Lutz, Kristina Mullin, Leinal Sejour, Winston Hide, Ioannis Vlachos, Stacia Desantis, Rudolph E. Tanzi, Christoph Lange
Prediction of disease-free survival for precision medicine using cooperative learning on multi-omic data. Briefings Bioinform. 25 (4) (2024)
Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss, Christoph Lange
Fast computation of the eigensystem of genomic similarity matrices. BMC Bioinform. 25 (1) (2024)
Kyle Henke, Elijah Pelofske, Garrett T. Kenyon, Georg Hahn
Comparing Quantum Annealing and Spiking Neuromorphic Computing for Sampling Binary Sparse Coding QUBO Problems. CoRR (2024)
Rebecca M. Hurwitz, Georg Hahn
Penalized Principal Component Analysis using Nesterov Smoothing. CoRR (2023)
Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. CoRR (2023)
Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. ICONS (2023)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Initial state encoding via reverse quantum annealing and h-gain features. CoRR (2023)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving larger maximum clique problems using parallel quantum annealing. Quantum Inf. Process. 22 (5) (2023)
Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
Posiform Planting: Generating QUBO Instances for Benchmarking. CoRR (2023)
Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
Posiform planting: generating QUBO instances for benchmarking. Frontiers Comput. Sci. 5 (2023)
Sanghun Lee, Georg Hahn, Julian Hecker, Sharon Marie Lutz, Kristina Mullin, Winston Hide, Lars Bertram, Dawn L. Demeo, Rudolph E. Tanzi, Christoph Lange, Dmitry Prokopenko
A comparison between similarity matrices for principal component analysis to assess population stratification in sequenced genetic data sets. Briefings Bioinform. 24 (1) (2023)
Georg Hahn, Muhammad Ali Siddiqi, Said Hamdioui, Wouter A. Serdijn, Christos Strydis
Assessing the Security of the IEEE 802.15.6 Standard for Medical BANs. CoRR (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving Larger Optimization Problems Using Parallel Quantum Annealing. CoRR (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits. CoRR (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Inferring the Dynamics of the State Evolution During Quantum Annealing. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Georg Hahn, Sanghun Lee, Dmitry Prokopenko, Jonathan Abraham, Tanya Novak, Julian Hecker, Michael Cho, Surender Khurana, Lindsey R. Baden, Adrienne G. Randolph, Scott T. Weiss, Christoph Lange
Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest. BMC Bioinform. 23 (1) (2022)
Muhammad Ali Siddiqi, Georg Hahn, Said Hamdioui, Wouter A. Serdijn, Christos Strydis
Improving the Security of the IEEE 802.15.6 Standard for Medical BANs. IEEE Access 10 (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer. J. Signal Process. Syst. 93 (4) (2021)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Using Machine Learning for Quantum Annealing Accuracy Prediction. Algorithms 14 (6) (2021)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Using machine learning for quantum annealing accuracy prediction. CoRR (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Boolean Hierarchical Tucker Networks on Quantum Annealers. LSSC (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Parallel Quantum Annealing. CoRR (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Reducing quantum annealing biases for solving the graph partitioning problem. CoRR (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Reducing quantum annealing biases for solving the graph partitioning problem. CF (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Quantum Annealing Algorithms for Boolean Tensor Networks. CoRR (2021)
Georg Hahn, Sharon Marie Lutz, Nilanjana Laha, Michael H. Cho, Edwin K. Silverman, Christoph Lange
A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD). Stat. Comput. 31 (3) (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Boolean Hierarchical Tucker Networks on Quantum Annealers. CoRR (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced unembedding techniques for quantum annealers. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Decomposition algorithms for solving NP-hard problems on a quantum annealer. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced anneal paths for improved quantum annealing. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Inferring the Dynamics of the State Evolution During Quantum Annealing. CoRR (2020)
Dong Ding, Axel Gandy, Georg Hahn
A simple method for implementing Monte Carlo tests. Comput. Stat. 35 (3) (2020)
Georg Hahn, Paul Fearnhead, Idris A. Eckley
BayesProject: Fast computation of a projection direction for multivariate changepoint detection. Stat. Comput. 30 (6) (2020)
Georg Hahn
Optimal allocation of Monte Carlo simulations to multiple hypothesis tests. Stat. Comput. 30 (3) (2020)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias. PAAP (2020)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing embedding-related quantum annealing parameters for reducing hardware bias. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced anneal paths for improved quantum annealing. QCE (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced unembedding techniques for quantum annealers. ICRC (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing the spin reversal transform on the D-Wave 2000Q. CoRR (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Peering Into the Anneal Process of a Quantum Annealer. PDCAT (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing the Spin Reversal Transform on the D-Wave 2000Q. ICRC (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large Maximum Clique problems on a quantum annealer. CoRR (2019)
Guillaume Chapuis, Hristo N. Djidjev, Georg Hahn, Guillaume Rizk
Finding Maximum Cliques on the D-Wave Quantum Annealer. J. Signal Process. Syst. 91 (3-4) (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large Minimum Vertex Cover problems on a quantum annealer. CoRR (2019)
Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Christoph Lange
Local and Global Stratification Analysis in Whole Genome Sequencing (WGS) Studies Using LocStra. ICCABS (2019)
Hristo N. Djidjev, Georg Hahn, Susan M. Mniszewski, Christian F. A. Negre, Anders M. N. Niklasson
Using Graph Partitioning for Scalable Distributed Quantum Molecular Dynamics. Algorithms 12 (9) (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large minimum vertex cover problems on a quantum annealer. CF (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Peering into the Anneal Process of a Quantum Annealer. CoRR (2019)
Georg Hahn, Hristo N. Djidjev
Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. CoRR (2018)
Axel Gandy, Georg Hahn
QuickMMCTest: quick multiple Monte Carlo testing. Stat. Comput. 27 (3) (2017)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving Large Maximum Clique Problems on a Quantum Annealer. QTOP@NetSys (2017)
Purnima Ghale, Matthew P. Kroonblawd, Sue Mniszewski, Christian F. A. Negre, Robert Pavel, Sergio Pino, Vivek Sardeshmukh, Guangjie Shi, Georg Hahn
Task-based Parallel Computation of the Density Matrix in Quantum-based Molecular Dynamics using Graph Partitioning. SIAM J. Sci. Comput. 39 (6) (2017)
Georg Hahn, Hristo N. Djidjev
Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. ICRC (2017)
Guillaume Chapuis, Hristo N. Djidjev, Georg Hahn, Guillaume Rizk
Finding Maximum Cliques on a Quantum Annealer. Conf. Computing Frontiers (2017)
Hristo N. Djidjev, Georg Hahn, Susan M. Mniszewski, Christian F. A. Negre, Anders M. N. Niklasson, Vivek B. Sardeshmukh
Graph Partitioning Methods for Fast Parallel Quantum Molecular Dynamics. CSC (2016)