Hartmut Neven

According to our database, Hartmut Neven authored at least 47 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning high-accuracy error decoding for quantum processors.

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

Nat., November, 2024

Testing the Conjecture That Quantum Processes Create Conscious Experience.

Hartmut Neven, Adam Zalcman, Peter Read, Kenneth S. Kosik, Tjitse van der Molen, Dirk Bouwmeester, Eve Bodnia, Luca Turin, Christof Koch

Entropy, June, 2024

2023

Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network.

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

CoRR, 2023

2022

Traversable wormhole dynamics on a quantum processor.

Daniel Jafferis, Alexander Zlokapa, Joseph D. Lykken, David K. Kolchmeyer, Samantha I. Davis, Nikolai Lauk, Hartmut Neven, Maria Spiropulu

Nat., 2022

Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift.

Kingson Man, Antonio Damasio, Hartmut Neven

CoRR, 2022

2021

Universal discriminative quantum neural networks.

Hongxiang Chen, Leonard Wossnig, Simone Severini, Hartmut Neven, Masoud Mohseni

Quantum Mach. Intell., 2021

Quantum advantage in learning from experiments.

Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean

CoRR, 2021

Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization.

Masoud Mohseni, Daniel Eppens, Johan Strümpfer, Raffaele Marino, Vasil S. Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven

CoRR, 2021

A quantum algorithm for training wide and deep classical neural networks.

Alexander Zlokapa, Hartmut Neven, Seth Lloyd

CoRR, 2021

2020

Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization.

Ian D. Kivlichan, Craig Gidney, Dominic W. Berry, Nathan Wiebe, Jarrod R. McClean, Wei Sun, Zhang Jiang, Nicholas C. Rubin, Austin G. Fowler, Alán Aspuru-Guzik, Hartmut Neven, Ryan Babbush

Quantum, 2020

Optimal fermion-to-qubit mapping via ternary trees with applications to reduced quantum states learning.

Zhang Jiang, Amir Kalev, Wojciech Mruczkiewicz, Hartmut Neven

Quantum, 2020

Power of data in quantum machine learning.

Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean

CoRR, 2020

Learnability and Complexity of Quantum Samples.

Murphy Yuezhen Niu, Andrew M. Dai, Li Li, Augustus Odena, Zhengli Zhao, Vadim Smelyanskyi, Hartmut Neven, Sergio Boixo

CoRR, 2020

The Snake Optimizer for Learning Quantum Processor Control Parameters.

Paul V. Klimov, Julian Kelly, John M. Martinis, Hartmut Neven

CoRR, 2020

TensorFlow Quantum: A Software Framework for Quantum Machine Learning.

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

CoRR, 2020

2019

Design and Characterization of a 28-nm Bulk-CMOS Cryogenic Quantum Controller Dissipating Less Than 2 mW at 3 K.

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

IEEE J. Solid State Circuits, 2019

Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm.

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

CoRR, 2019

Scaling advantage in quantum simulation of geometrically frustrated magnets.

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, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, Mohammad H. Amin

CoRR, 2019

Learning to learn with quantum neural networks via classical neural networks.

Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni

CoRR, 2019

Quantum-Assisted Genetic Algorithm.

James King, Masoud Mohseni, William Bernoudy, Alexandre Fréchette, Hossein Sadeghi, Sergei V. Isakov, Hartmut Neven, Mohammad H. Amin

CoRR, 2019

Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation.

Benjamin Villalonga, Dmitry I. Lyakh, Sergio Boixo, Hartmut Neven, Travis S. Humble, Rupak Biswas, Eleanor Gilbert Rieffel, Alan K. Ho, Salvatore Mandrà

CoRR, 2019

A 28nm Bulk-CMOS 4-to-8GHz ¡2mW Cryogenic Pulse Modulator for Scalable Quantum Computing.

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

Proceedings of the IEEE International Solid- State Circuits Conference, 2019

2018

Barren plateaus in quantum neural network training landscapes.

Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, Hartmut Neven

CoRR, 2018

Efficient Population Transfer via Non-Ergodic Extended States in Quantum Spin Glass.

Kostyantyn Kechedzhi, Vadim Smelyanskiy, Jarrod R. McClean, Vasil S. Denchev, Masoud Mohseni, Sergei Isakov, Sergio Boixo, Boris Altshuler, Hartmut Neven

Proceedings of the 13th Conference on the Theory of Quantum Computation, 2018

2016

Optimizing Variational Quantum Algorithms using Pontryagin's Minimum Principle.

Zhi-Cheng Yang, Armin Rahmani, Alireza Shabani, Hartmut Neven, Claudio Chamon

CoRR, 2016

2015

Totally Corrective Boosting with Cardinality Penalization.

Vasil S. Denchev, Nan Ding, Shin Matsushima, S. V. N. Vishwanathan, Hartmut Neven

CoRR, 2015

Probabilistic Label Relation Graphs with Ising Models.

Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing.

Ryan Babbush, Vasil S. Denchev, Nan Ding, Sergei Isakov, Hartmut Neven

CoRR, 2014

Bayesian Sampling Using Stochastic Gradient Thermostats.

Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel, Hartmut Neven

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Large-Scale Object Classification Using Label Relation Graphs.

Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

PhotoOCR: Reading Text in Uncontrolled Conditions.

Alessandro Bissacco, Mark Cummins, Yuval Netzer, Hartmut Neven

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization.

Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Robust Classification with Adiabatic Quantum Optimization.

Vasil S. Denchev, Nan Ding, S. V. N. Vishwanathan, Hartmut Neven

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

Designing a Comprehensive Visual Recognition System.

Hartmut Neven

Proceedings of the Advances in Multimedia Modeling, 2010

2009

Training a Large Scale Classifier with the Quantum Adiabatic Algorithm

Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready

CoRR, 2009

Tour the world: a technical demonstration of a web-scale landmark recognition engine.

Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven, Jay Yagnik

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Large-scale privacy protection in Google Street View.

Andrea Frome, German Cheung, Ahmad Abdulkader, Marco Zennaro, Bo Wu, Alessandro Bissacco, Hartwig Adam, Hartmut Neven, Luc Vincent

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Tour the world: Building a web-scale landmark recognition engine.

Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

1998

Signal Processing, Acoustics, and Psychoacoustics for High Quality Desktop Audio.

Chris Kyriakakis, Tomlinson Holman, Jong-soong Lim, Hai Hong, Hartmut Neven

J. Vis. Commun. Image Represent., 1998

PersonSpotter - Fast and Robust System for Human Detection, Tracking and Recognition.

Johannes Steffens, Egor Elagin, Hartmut Neven

Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

Statistical Analysis of Gabor-Filter Representation.

Peter Kalocsai, Hartmut Neven, Johannes Steffens

Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

Online Facial Expression Recognition Based on Personalized Galleries.

Hai Hong, Hartmut Neven, Christoph von der Malsburg

Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

Automatic Pose Estimation System for Human Faces Based on Bunch Graph Matching Technology.

Egor Elagin, Johannes Steffens, Hartmut Neven

Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

1997

Dynamics for vision guided autonomous mobile robots.

Hartmut Neven

PhD thesis, 1997

1996

Dynamics parametrically controlled by image correlations organize robot navigation.

Hartmut Neven, Gregor Schöner

Biol. Cybern., 1996

1995

Neural dynamics parametrically controlled by image correlations organize robot navigation.

Hartmut Neven, Gregor Schöner

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

1992

Rate coherence and event coherence in the visual cortex: a neuronal model of object recognition.

Hartmut Neven, Ad Aertsen

Biol. Cybern., 1992