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Hartmut Neven
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- affiliation: Google Inc, USA
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2020 – today
- 2024
- [j9]Hartmut Neven
, Adam Zalcman, Peter Read, Kenneth S. Kosik
Testing the Conjecture That Quantum Processes Create Conscious Experience. Entropy 26(6): 460 (2024) - 2023
- [i21]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 abs/2310.05900 (2023) - 2022
- [j8]Daniel Jafferis
Traversable wormhole dynamics on a quantum processor. Nat. 612(7938): 51-55 (2022) - [i20]Kingson Man, Antonio Damasio, Hartmut Neven:
Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift. CoRR abs/2205.08645 (2022) - 2021
- [j7]Hongxiang Chen
Universal discriminative quantum neural networks. Quantum Mach. Intell. 3(1): 1-11 (2021) - [i19]Alexander Zlokapa, Hartmut Neven, Seth Lloyd:
A quantum algorithm for training wide and deep classical neural networks. CoRR abs/2107.09200 (2021) - [i18]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 abs/2111.13628 (2021) - [i17]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 abs/2112.00778 (2021) - 2020
- [j6]Zhang Jiang
Optimal fermion-to-qubit mapping via ternary trees with applications to reduced quantum states learning. Quantum 4: 276 (2020) - [j5]Ian D. Kivlichan
Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization. Quantum 4: 296 (2020) - [i16]Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters
TensorFlow Quantum: A Software Framework for Quantum Machine Learning. CoRR abs/2003.02989 (2020) - [i15]Paul V. Klimov, Julian Kelly, John M. Martinis, Hartmut Neven:
The Snake Optimizer for Learning Quantum Processor Control Parameters. CoRR abs/2006.04594 (2020) - [i14]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 abs/2010.11983 (2020) - [i13]Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean:
Power of data in quantum machine learning. CoRR abs/2011.01938 (2020)
2010 – 2019
- 2019
- [j4]Joseph C. Bardin
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): 3043-3060 (2019) - [c17]Joseph C. Bardin
A 28nm Bulk-CMOS 4-to-8GHz ¡2mW Cryogenic Pulse Modulator for Scalable Quantum Computing. ISSCC 2019: 456-458 - [i12]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 abs/1905.00444 (2019) - [i11]James King, Masoud Mohseni, William Bernoudy, Alexandre Fréchette, Hossein Sadeghi, Sergei V. Isakov, Hartmut Neven, Mohammad H. Amin:
Quantum-Assisted Genetic Algorithm. CoRR abs/1907.00707 (2019) - [i10]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 abs/1907.05415 (2019) - [i9]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, Paul 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
Scaling advantage in quantum simulation of geometrically frustrated magnets. CoRR abs/1911.03446 (2019) - [i8]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 abs/1912.04368 (2019) - 2018
- [c16]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: 9:1-9:16 - [i7]Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, Hartmut Neven:
Barren plateaus in quantum neural network training landscapes. CoRR abs/1803.11173 (2018) - [i6]Hongxiang Chen
Universal discriminative quantum neural networks. CoRR abs/1805.08654 (2018) - 2016
- [i5]Zhi-Cheng Yang, Armin Rahmani, Alireza Shabani, Hartmut Neven, Claudio Chamon:
Optimizing Variational Quantum Algorithms using Pontryagin's Minimum Principle. CoRR abs/1607.06473 (2016) - 2015
- [c15]Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven:
Probabilistic Label Relation Graphs with Ising Models. ICCV 2015: 1161-1169 - [i4]Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven:
Probabilistic Label Relation Graphs with Ising Models. CoRR abs/1503.01428 (2015) - [i3]Vasil S. Denchev, Nan Ding, Shin Matsushima, S. V. N. Vishwanathan, Hartmut Neven:
Totally Corrective Boosting with Cardinality Penalization. CoRR abs/1504.01446 (2015) - 2014
- [c14]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: 48-64 - [c13]Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel, Hartmut Neven:
Bayesian Sampling Using Stochastic Gradient Thermostats. NIPS 2014: 3203-3211 - [i2]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 abs/1406.4203 (2014) - 2013
- [c12]Alessandro Bissacco, Mark Cummins, Yuval Netzer, Hartmut Neven:
PhotoOCR: Reading Text in Uncontrolled Conditions. ICCV 2013: 785-792 - 2012
- [c11]Vasil S. Denchev, Nan Ding, S. V. N. Vishwanathan, Hartmut Neven:
Robust Classification with Adiabatic Quantum Optimization. ICML 2012 - [c10]Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready:
QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. ACML 2012: 333-348 - 2010
- [c9]Hartmut Neven:
Designing a Comprehensive Visual Recognition System. MMM 2010: 3
2000 – 2009
- 2009
- [c8]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: 1085-1092 - [c7]Andrea Frome, German Cheung, Ahmad Abdulkader, Marco Zennaro
Large-scale privacy protection in Google Street View. ICCV 2009: 2373-2380 - [c6]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: 961-962 - [i1]Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready:
Training a Large Scale Classifier with the Quantum Adiabatic Algorithm. CoRR abs/0912.0779 (2009)
1990 – 1999
- 1998
- [j3]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): 51-61 (1998) - [c5]Egor Elagin, Johannes Steffens, Hartmut Neven:
Automatic Pose Estimation System for Human Faces Based on Bunch Graph Matching Technology. FG 1998: 136-141 - [c4]Hai Hong, Hartmut Neven, Christoph von der Malsburg:
Online Facial Expression Recognition Based on Personalized Galleries. FG 1998: 354-359 - [c3]Peter Kalocsai, Hartmut Neven, Johannes Steffens:
Statistical Analysis of Gabor-Filter Representation. FG 1998: 360-365 - [c2]Johannes Steffens, Egor Elagin, Hartmut Neven:
PersonSpotter - Fast and Robust System for Human Detection, Tracking and Recognition. FG 1998: 516-521 - 1997
- [b1]Hartmut Neven:
Dynamics for vision guided autonomous mobile robots. Ruhr University Bochum, VDI-Verlag 1997, ISBN 3-18-360608-9, pp. 1-104 - 1996
- [j2]Hartmut Neven, Gregor Schöner
Dynamics parametrically controlled by image correlations organize robot navigation. Biol. Cybern. 75(4): 293-307 (1996) - 1995
- [c1]Hartmut Neven, Gregor Schöner:
Neural dynamics parametrically controlled by image correlations organize robot navigation. SNN Symposium on Neural Networks 1995: 177-180 - 1992
- [j1]Hartmut Neven, Ad Aertsen:
Rate coherence and event coherence in the visual cortex: a neuronal model of object recognition. Biol. Cybern. 67(4): 309-322 (1992)
Coauthor Index
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last updated on 2024-08-29 20:58 CEST by the dblp team
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