Hartmut Neven

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 25

Top Venues

Ruhr University Bochum (PHD)

Education History

Ruhr University Bochum

PHD

Publications

Hartmut Neven, Adam Zalcman, Peter Read, Kenneth S. Kosik, Tjitse van der Molen, Dirk Bouwmeester, Eve Bodnia, Luca Turin, Christof Koch
Testing the Conjecture That Quantum Processes Create Conscious Experience. Entropy 26 (6) (2024)
Johannes Bausch, Andrew W. Senior, Francisco J. H. Heras, Thomas Edlich, Alex Davies, Michael Newman, Cody Jones, Kevin J. Satzinger, Murphy Yuezhen Niu, Sam Blackwell, George Holland, Dvir Kafri, Juan Atalaya, Craig Gidney, Demis Hassabis, Sergio Boixo, Hartmut Neven, Pushmeet Kohli
Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network. CoRR (2023)
Daniel Jafferis, Alexander Zlokapa, Joseph D. Lykken, David K. Kolchmeyer, Samantha I. Davis, Nikolai Lauk, Hartmut Neven, Maria Spiropulu
Traversable wormhole dynamics on a quantum processor. Nat. 612 (7938) (2022)
Kingson Man, Antonio Damasio, Hartmut Neven
Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift. CoRR (2022)
Masoud Mohseni, Daniel Eppens, Johan Strümpfer, Raffaele Marino, Vasil S. Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization. CoRR (2021)
Alexander Zlokapa, Hartmut Neven, Seth Lloyd
A quantum algorithm for training wide and deep classical neural networks. CoRR (2021)
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean
Quantum advantage in learning from experiments. CoRR (2021)
Hongxiang Chen, Leonard Wossnig, Simone Severini, Hartmut Neven, Masoud Mohseni
Universal discriminative quantum neural networks. Quantum Mach. Intell. 3 (1) (2021)
Murphy Yuezhen Niu, Andrew M. Dai, Li Li, Augustus Odena, Zhengli Zhao, Vadim Smelyanskyi, Hartmut Neven, Sergio Boixo
Learnability and Complexity of Quantum Samples. CoRR (2020)
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni
TensorFlow Quantum: A Software Framework for Quantum Machine Learning. CoRR (2020)
Ian D. Kivlichan, Craig Gidney, Dominic W. Berry, Nathan Wiebe, Jarrod R. McClean, Wei Sun, Zhang Jiang, Nicholas Rubin, Austin G. Fowler, Alán Aspuru-Guzik, Hartmut Neven, Ryan Babbush
Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization. Quantum 4 (2020)
Paul V. Klimov, Julian Kelly, John M. Martinis, Hartmut Neven
The Snake Optimizer for Learning Quantum Processor Control Parameters. CoRR (2020)
Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean
Power of data in quantum machine learning. CoRR (2020)
Zhang Jiang, Amir Kalev, Wojciech Mruczkiewicz, Hartmut Neven
Optimal fermion-to-qubit mapping via ternary trees with applications to reduced quantum states learning. Quantum 4 (2020)
James King, Masoud Mohseni, William Bernoudy, Alexandre Fréchette, Hossein Sadeghi, Sergei V. Isakov, Hartmut Neven, Mohammad H. Amin
Quantum-Assisted Genetic Algorithm. CoRR (2019)
Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, P. Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, Mohammad H. Amin
Scaling advantage in quantum simulation of geometrically frustrated magnets. CoRR (2019)
Joseph C. Bardin, Evan Jeffrey, Erik Lucero, Trent Huang, Ofer Naaman, Rami Barends, Ted White, Marissa Giustina, Daniel Thomas Sank, Pedram Roushan, Kunal Arya, Benjamin Chiaro, Julian Kelly, Jimmy Chen, Brian Burkett, Yu Chen, Andrew Dunsworth, Austin G. Fowler, Brooks Foxen, Craig Gidney, Rob Graff, Paul Klimov, Josh Mutus, Matthew J. McEwen, Anthony Megrant, Matthew Neeley, Charles J. Neill, Chris Quintana, Amit Vainsencher, Hartmut Neven, John M. Martinis
A 28nm Bulk-CMOS 4-to-8GHz ¡2mW Cryogenic Pulse Modulator for Scalable Quantum Computing. ISSCC (2019)
Joseph C. Bardin, Evan Jeffrey, Erik Lucero, Trent Huang, Sayan Das, Daniel Thomas Sank, Ofer Naaman, Anthony Edward Megrant, Rami Barends, Ted White, Marissa Giustina, Kevin J. Satzinger, Kunal Arya, Pedram Roushan, Benjamin Chiaro, Julian Kelly, Zijun Chen, Brian Burkett, Yu Chen, Andrew Dunsworth, Austin G. Fowler, Brooks Foxen, Craig Gidney, Rob Graff, Paul Klimov, Josh Mutus, Matthew J. McEwen, Matthew Neeley, Charles J. Neill, Chris Quintana, Amit Vainsencher, Hartmut Neven, John M. Martinis
Design and Characterization of a 28-nm Bulk-CMOS Cryogenic Quantum Controller Dissipating Less Than 2 mW at 3 K. IEEE J. Solid State Circuits 54 (11) (2019)
Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni
Learning to learn with quantum neural networks via classical neural networks. CoRR (2019)
Murphy Yuezhen Niu, Vadim Smelyanskyi, Paul Klimov, Sergio Boixo, Rami Barends, Julian Kelly, Yu Chen, Kunal Arya, Brian Burkett, Dave Bacon, Zijun Chen, Benjamin Chiaro, Roberto Collins, Andrew Dunsworth, Brooks Foxen, Austin G. Fowler, Craig Gidney, Marissa Giustina, Rob Graff, Trent Huang, Evan Jeffrey, David Landhuis, Erik Lucero, Anthony Megrant, Josh Mutus, Xiao Mi, Ofer Naaman, Matthew Neeley, Charles J. Neill, Chris Quintana, Pedram Roushan, John M. Martinis, Hartmut Neven
Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm. CoRR (2019)
Benjamin Villalonga, Dmitry I. Lyakh, Sergio Boixo, Hartmut Neven, Travis S. Humble, Rupak Biswas, Eleanor Gilbert Rieffel, Alan K. Ho, Salvatore Mandrà
Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation. CoRR (2019)
Kostyantyn Kechedzhi, Vadim Smelyanskiy, Jarrod R. McClean, Vasil S. Denchev, Masoud Mohseni, Sergei Isakov, Sergio Boixo, Boris Altshuler, Hartmut Neven
Efficient Population Transfer via Non-Ergodic Extended States in Quantum Spin Glass. TQC (2018)
Hongxiang Chen, Leonard Wossnig, Simone Severini, Hartmut Neven, Masoud Mohseni
Universal discriminative quantum neural networks. CoRR (2018)
Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, Hartmut Neven
Barren plateaus in quantum neural network training landscapes. CoRR (2018)
Zhi-Cheng Yang, Armin Rahmani, Alireza Shabani, Hartmut Neven, Claudio Chamon
Optimizing Variational Quantum Algorithms using Pontryagin's Minimum Principle. CoRR (2016)
Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven
Probabilistic Label Relation Graphs with Ising Models. CoRR (2015)
Vasil S. Denchev, Nan Ding, Shin Matsushima, S. V. N. Vishwanathan, Hartmut Neven
Totally Corrective Boosting with Cardinality Penalization. CoRR (2015)
Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven
Probabilistic Label Relation Graphs with Ising Models. ICCV (2015)
Ryan Babbush, Vasil S. Denchev, Nan Ding, Sergei Isakov, Hartmut Neven
Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing. CoRR (2014)
Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel, Hartmut Neven
Bayesian Sampling Using Stochastic Gradient Thermostats. NIPS (2014)
Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam
Large-Scale Object Classification Using Label Relation Graphs. ECCV (1) (2014)
Alessandro Bissacco, Mark Cummins, Yuval Netzer, Hartmut Neven
PhotoOCR: Reading Text in Uncontrolled Conditions. ICCV (2013)
Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready
QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. ACML (2012)
Vasil S. Denchev, Nan Ding, S. V. N. Vishwanathan, Hartmut Neven
Robust Classification with Adiabatic Quantum Optimization. ICML (2012)
Hartmut Neven
Designing a Comprehensive Visual Recognition System. MMM (2010)
Andrea Frome, German Cheung, Ahmad Abdulkader, Marco Zennaro, Bo Wu, Alessandro Bissacco, Hartwig Adam, Hartmut Neven, Luc Vincent
Large-scale privacy protection in Google Street View. ICCV (2009)
Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven, Jay Yagnik
Tour the world: a technical demonstration of a web-scale landmark recognition engine. ACM Multimedia (2009)
Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready
Training a Large Scale Classifier with the Quantum Adiabatic Algorithm CoRR (2009)
Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven
Tour the world: Building a web-scale landmark recognition engine. CVPR (2009)
Chris Kyriakakis, Tomlinson Holman, Jong-soong Lim, Hai Hong, Hartmut Neven
Signal Processing, Acoustics, and Psychoacoustics for High Quality Desktop Audio. J. Vis. Commun. Image Represent. 9 (1) (1998)
Egor Elagin, Johannes Steffens, Hartmut Neven
Automatic Pose Estimation System for Human Faces Based on Bunch Graph Matching Technology. FG (1998)
Peter Kalocsai, Hartmut Neven, Johannes Steffens
Statistical Analysis of Gabor-Filter Representation. FG (1998)
Hai Hong, Hartmut Neven, Christoph von der Malsburg
Online Facial Expression Recognition Based on Personalized Galleries. FG (1998)
Johannes Steffens, Egor Elagin, Hartmut Neven
PersonSpotter - Fast and Robust System for Human Detection, Tracking and Recognition. FG (1998)
Hartmut Neven, Gregor Schöner
Dynamics parametrically controlled by image correlations organize robot navigation. Biol. Cybern. 75 (4) (1996)
Hartmut Neven, Gregor Schöner
Neural dynamics parametrically controlled by image correlations organize robot navigation. SNN Symposium on Neural Networks (1995)
Hartmut Neven, Ad Aertsen
Rate coherence and event coherence in the visual cortex: a neuronal model of object recognition. Biol. Cybern. 67 (4) (1992)

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Publication Activity (10 Years)

Top Topics

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Hartmut Neven