Accelerating Scientific Computing in the Post-Moore’s Era
Abstract
Novel uses of graphical processing units for accelerated computation revolutionized the field of high-performance scientific computing by providing specialized workflows tailored to algorithmic requirements. As the era of Moore’s law draws to a close, many new non–von Neumann processors are emerging as potential computational accelerators, including those based on the principles of neuromorphic computing, tensor algebra, and quantum information. While development of these new processors is continuing to mature, the potential impact on accelerated computing is anticipated to be profound. We discuss how different processing models can advance computing in key scientific paradigms: machine learning and constraint satisfaction. Significantly, each of these new processor types utilizes a fundamentally different model of computation, and this raises questions about how to best use such processors in the design and implementation of applications. While many processors are being developed with a specific domain target, the ubiquity of spin-glass models and neural networks provides an avenue for multi-functional applications. Furthermore, this also hints at the infrastructure needed to integrate next-generation processing units into future high-performance computing systems.
- Authors:
-
[1];
[1];
[1];
[1];
[1];
[1]
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1649624
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- ACM Transactions on Parallel Computing
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 1; Journal ID: ISSN 2329-4949
- Publisher:
- Association for Computing Machinery
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; Graph algorithms; machine learning; constraint satisfaction problems; quantum computing; neuromorphic computing; optical Ising machines
Citation Formats
Hamilton, Kathleen E., Schuman, Catherine D., Young, Steven R., Bennink, Ryan S., Imam, Neena, and Humble, Travis S. Accelerating Scientific Computing in the Post-Moore’s Era. United States: N. p., 2020.
Web. doi:10.1145/3380940.
Hamilton, Kathleen E., Schuman, Catherine D., Young, Steven R., Bennink, Ryan S., Imam, Neena, & Humble, Travis S. Accelerating Scientific Computing in the Post-Moore’s Era. United States. https://doi.org/10.1145/3380940
Hamilton, Kathleen E., Schuman, Catherine D., Young, Steven R., Bennink, Ryan S., Imam, Neena, and Humble, Travis S. Sun .
"Accelerating Scientific Computing in the Post-Moore’s Era". United States. https://doi.org/10.1145/3380940. https://www.osti.gov/servlets/purl/1649624.
@article{osti_1649624,
title = {Accelerating Scientific Computing in the Post-Moore’s Era},
author = {Hamilton, Kathleen E. and Schuman, Catherine D. and Young, Steven R. and Bennink, Ryan S. and Imam, Neena and Humble, Travis S.},
abstractNote = {Novel uses of graphical processing units for accelerated computation revolutionized the field of high-performance scientific computing by providing specialized workflows tailored to algorithmic requirements. As the era of Moore’s law draws to a close, many new non–von Neumann processors are emerging as potential computational accelerators, including those based on the principles of neuromorphic computing, tensor algebra, and quantum information. While development of these new processors is continuing to mature, the potential impact on accelerated computing is anticipated to be profound. We discuss how different processing models can advance computing in key scientific paradigms: machine learning and constraint satisfaction. Significantly, each of these new processor types utilizes a fundamentally different model of computation, and this raises questions about how to best use such processors in the design and implementation of applications. While many processors are being developed with a specific domain target, the ubiquity of spin-glass models and neural networks provides an avenue for multi-functional applications. Furthermore, this also hints at the infrastructure needed to integrate next-generation processing units into future high-performance computing systems.},
doi = {10.1145/3380940},
journal = {ACM Transactions on Parallel Computing},
number = 1,
volume = 7,
place = {United States},
year = {Sun Mar 01 00:00:00 EST 2020},
month = {Sun Mar 01 00:00:00 EST 2020}
}
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Works referenced in this record:
A Learning Algorithm for Boltzmann Machines*
journal, January 1985
- Ackley, David H.; Hinton, Geoffrey E.; Sejnowski, Terrence J.
- Cognitive Science, Vol. 9, Issue 1
Solving Constraint Satisfaction Problems with Networks of Spiking Neurons
journal, March 2016
- Jonke, Zeno; Habenschuss, Stefan; Maass, Wolfgang
- Frontiers in Neuroscience, Vol. 10
Trapped-ion quantum computing: Progress and challenges
journal, June 2019
- Bruzewicz, Colin D.; Chiaverini, John; McConnell, Robert
- Applied Physics Reviews, Vol. 6, Issue 2
Circuit-centric quantum classifiers
journal, March 2020
- Schuld, Maria; Bocharov, Alex; Svore, Krysta M.
- Physical Review A, Vol. 101, Issue 3
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
journal, June 2017
- Neftci, Emre O.; Augustine, Charles; Paul, Somnath
- Frontiers in Neuroscience, Vol. 11
The capacity of the Hopfield associative memory
journal, July 1987
- McEliece, R.; Posner, E.; Rodemich, E.
- IEEE Transactions on Information Theory, Vol. 33, Issue 4
Readiness of Quantum Optimization Machines for Industrial Applications
journal, July 2019
- Perdomo-Ortiz, Alejandro; Feldman, Alexander; Ozaeta, Asier
- Physical Review Applied, Vol. 12, Issue 1
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores
conference, August 2013
- Cassidy, Andrew S.; Merolla, Paul; Arthur, John V.
- 2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas), The 2013 International Joint Conference on Neural Networks (IJCNN)
A million spiking-neuron integrated circuit with a scalable communication network and interface
journal, August 2014
- Merolla, P. A.; Arthur, J. V.; Alvarez-Icaza, R.
- Science, Vol. 345, Issue 6197
Ising formulation of associative memory models and quantum annealing recall
journal, December 2017
- Santra, Siddhartha; Shehab, Omar; Balu, Radhakrishnan
- Physical Review A, Vol. 96, Issue 6
Mapping Generative Models onto a Network of Digital Spiking Neurons
journal, August 2016
- Pedroni, Bruno U.; Das, Srinjoy; Arthur, John V.
- IEEE Transactions on Biomedical Circuits and Systems, Vol. 10, Issue 4
Sparse Hardware Embedding of Spiking Neuron Systems for Community Detection
journal, December 2018
- Hamilton, Kathleen E.; Imam, Neena; Humble, Travis S.
- ACM Journal on Emerging Technologies in Computing Systems, Vol. 14, Issue 4
Silicon chip delivers quantum speeds [News]
journal, July 2018
- Boyd, John
- IEEE Spectrum, Vol. 55, Issue 7
Quantum Computation and Quantum Information
book, January 2011
- Nielsen, Michael A.; Chuang, Isaac L.
- Cambridge University Press
Graph Partitioning using Quantum Annealing on the D-Wave System
conference, January 2017
- Ushijima-Mwesigwa, Hayato; Negre, Christian F. A.; Mniszewski, Susan M.
- Proceedings of the Second International Workshop on Post Moores Era Supercomputing - PMES'17
The many facets of community detection in complex networks
journal, February 2017
- Schaub, Michael T.; Delvenne, Jean-Charles; Rosvall, Martin
- Applied Network Science, Vol. 2, Issue 1
Programming Spiking Neural Networks on Intel’s Loihi
journal, March 2018
- Lin, Chit-Kwan; Wild, Andreas; Chinya, Gautham N.
- Computer, Vol. 51, Issue 3
Training Products of Experts by Minimizing Contrastive Divergence
journal, August 2002
- Hinton, Geoffrey E.
- Neural Computation, Vol. 14, Issue 8
Differentiable learning of quantum circuit Born machines
journal, December 2018
- Liu, Jin-Guo; Wang, Lei
- Physical Review A, Vol. 98, Issue 6
Efficient Variational Quantum Simulator Incorporating Active Error Minimization
journal, June 2017
- Li, Ying; Benjamin, Simon C.
- Physical Review X, Vol. 7, Issue 2
Using Stochastic Spiking Neural Networks on SpiNNaker to Solve Constraint Satisfaction Problems
journal, December 2017
- Fonseca Guerra, Gabriel A.; Furber, Steve B.
- Frontiers in Neuroscience, Vol. 11
Quantum correlation in degenerate optical parametric oscillators with mutual injections
journal, October 2015
- Takata, Kenta; Marandi, Alireza; Yamamoto, Yoshihisa
- Physical Review A, Vol. 92, Issue 4
Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer
journal, April 2019
- Aramon, Maliheh; Rosenberg, Gili; Valiante, Elisabetta
- Frontiers in Physics, Vol. 7
Error-backpropagation in temporally encoded networks of spiking neurons
journal, October 2002
- Bohte, Sander M.; Kok, Joost N.; La Poutré, Han
- Neurocomputing, Vol. 48, Issue 1-4
Motivation for and Evaluation of the First Tensor Processing Unit
journal, May 2018
- Jouppi, Norman; Young, Cliff; Patil, Nishant
- IEEE Micro, Vol. 38, Issue 3
Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics
journal, March 2018
- Najem, Joseph S.; Taylor, Graham J.; Weiss, Ryan J.
- ACS Nano, Vol. 12, Issue 5
A coherent Ising machine for 2000-node optimization problems
journal, October 2016
- Inagaki, T.; Haribara, Y.; Igarashi, K.
- Science, Vol. 354, Issue 6312
A fully programmable 100-spin coherent Ising machine with all-to-all connections
journal, October 2016
- McMahon, Peter L.; Marandi, Alireza; Haribara, Yoshitaka
- Science, Vol. 354, Issue 6312
Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks
journal, September 1985
- Amit, Daniel J.; Gutfreund, Hanoch; Sompolinsky, H.
- Physical Review Letters, Vol. 55, Issue 14
Experimental demonstration of associative memory with memristive neural networks
journal, September 2010
- Pershin, Yuriy V.; Di Ventra, Massimiliano
- Neural Networks, Vol. 23, Issue 7, p. 881-886
Long Short-Term Memory
journal, November 1997
- Hochreiter, Sepp; Schmidhuber, Jürgen
- Neural Computation, Vol. 9, Issue 8
Optimization by quantum annealing: Lessons from hard satisfiability problems
journal, June 2005
- Battaglia, Demian A.; Santoro, Giuseppe E.; Tosatti, Erio
- Physical Review E, Vol. 71, Issue 6
Machine learning & artificial intelligence in the quantum domain: a review of recent progress
journal, June 2018
- Dunjko, Vedran; Briegel, Hans J.
- Reports on Progress in Physics, Vol. 81, Issue 7
Triangle Finding and Listing in CONGEST Networks
conference, July 2017
- Izumi, Taisuke; Le Gall, François
- PODC '17: ACM Symposium on Principles of Distributed Computing, Proceedings of the ACM Symposium on Principles of Distributed Computing
Simulating a perceptron on a quantum computer
journal, March 2015
- Schuld, Maria; Sinayskiy, Ilya; Petruccione, Francesco
- Physics Letters A, Vol. 379, Issue 7
Probing many-body dynamics on a 51-atom quantum simulator
journal, November 2017
- Bernien, Hannes; Schwartz, Sylvain; Keesling, Alexander
- Nature, Vol. 551, Issue 7682
Practical Quantum Error Mitigation for Near-Future Applications
journal, July 2018
- Endo, Suguru; Benjamin, Simon C.; Li, Ying
- Physical Review X, Vol. 8, Issue 3
Performance Models for Split-Execution Computing Systems
conference, May 2016
- Humble, Travis S.; McCaskey, Alexander J.; Schrock, Jonathan
- 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
Storing Sparse Messages in Networks of Neural Cliques
journal, May 2014
- Aliabadi, Behrooz Kamary; Berrou, Claude; Gripon, Vincent
- IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, Issue 5
Building block of a programmable neuromorphic substrate: A digital neurosynaptic core
conference, June 2012
- Arthur, John V.; Merolla, Paul A.; Akopyan, Filipp
- 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane), The 2012 International Joint Conference on Neural Networks (IJCNN)
Training a quantum optimizer
journal, August 2016
- Wecker, Dave; Hastings, Matthew B.; Troyer, Matthias
- Physical Review A, Vol. 94, Issue 2
Neural networks and physical systems with emergent collective computational abilities.
journal, April 1982
- Hopfield, J. J.
- Proceedings of the National Academy of Sciences, Vol. 79, Issue 8
GPU clusters for high-performance computing
conference, August 2009
- Kindratenko, Volodymyr V.; Enos, Jeremy J.; Shi, Guochun
- 2009 IEEE International Conference on Cluster Computing and Workshops
Observation of topological phenomena in a programmable lattice of 1,800 qubits
journal, August 2018
- King, Andrew D.; Carrasquilla, Juan; Raymond, Jack
- Nature, Vol. 560, Issue 7719
Phase transitions in a programmable quantum spin glass simulator
journal, July 2018
- Harris, R.; Sato, Y.; Berkley, A. J.
- Science, Vol. 361, Issue 6398
Detecting Fuzzy Community Structures in Complex Networks with a Potts Model
journal, November 2004
- Reichardt, Jörg; Bornholdt, Stefan
- Physical Review Letters, Vol. 93, Issue 21
Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning
journal, August 2017
- Fujii, Keisuke; Nakajima, Kohei
- Physical Review Applied, Vol. 8, Issue 2
Quantum circuit learning
journal, September 2018
- Mitarai, K.; Negoro, M.; Kitagawa, M.
- Physical Review A, Vol. 98, Issue 3
Ising formulations of many NP problems
journal, January 2014
- Lucas, Andrew
- Frontiers in Physics, Vol. 2
Barren plateaus in quantum neural network training landscapes
journal, November 2018
- McClean, Jarrod R.; Boixo, Sergio; Smelyanskiy, Vadim N.
- Nature Communications, Vol. 9, Issue 1
A fast quantum mechanical algorithm for database search
conference, January 1996
- Grover, Lov K.
- Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96
Quantum-assisted Helmholtz machines: A quantum–classical deep learning framework for industrial datasets in near-term devices
journal, May 2018
- Benedetti, Marcello; Realpe-Gómez, John; Perdomo-Ortiz, Alejandro
- Quantum Science and Technology, Vol. 3, Issue 3
Quantum model for coherent Ising machines: Stochastic differential equations with replicator dynamics
journal, November 2017
- Shoji, Taime; Aihara, Kazuyuki; Yamamoto, Yoshihisa
- Physical Review A, Vol. 96, Issue 5
The theory of variational hybrid quantum-classical algorithms
journal, February 2016
- McClean, Jarrod R.; Romero, Jonathan; Babbush, Ryan
- New Journal of Physics, Vol. 18, Issue 2
Convolutional networks for fast, energy-efficient neuromorphic computing
journal, September 2016
- Esser, Steven K.; Merolla, Paul A.; Arthur, John V.
- Proceedings of the National Academy of Sciences, Vol. 113, Issue 41
Quantum optimization using variational algorithms on near-term quantum devices
journal, June 2018
- Moll, Nikolaj; Barkoutsos, Panagiotis; Bishop, Lev S.
- Quantum Science and Technology, Vol. 3, Issue 3
What is the Computational Value of Finite-Range Tunneling?
journal, August 2016
- Denchev, Vasil S.; Boixo, Sergio; Isakov, Sergei V.
- Physical Review X, Vol. 6, Issue 3
A case study in programming a quantum annealer for hard operational planning problems
journal, December 2014
- Rieffel, Eleanor G.; Venturelli, Davide; O’Gorman, Bryan
- Quantum Information Processing, Vol. 14, Issue 1
Adversarial quantum circuit learning for pure state approximation
journal, April 2019
- Benedetti, Marcello; Grant, Edward; Wossnig, Leonard
- New Journal of Physics, Vol. 21, Issue 4
Evaluating analytic gradients on quantum hardware
journal, March 2019
- Schuld, Maria; Bergholm, Ville; Gogolin, Christian
- Physical Review A, Vol. 99, Issue 3
Training deep neural networks for binary communication with the Whetstone method
journal, January 2019
- Severa, William; Vineyard, Craig M.; Dellana, Ryan
- Nature Machine Intelligence, Vol. 1, Issue 2
Quantum generative adversarial networks
journal, July 2018
- Dallaire-Demers, Pierre-Luc; Killoran, Nathan
- Physical Review A, Vol. 98, Issue 1
Quantum Support Vector Machine for Big Data Classification
journal, September 2014
- Rebentrost, Patrick; Mohseni, Masoud; Lloyd, Seth
- Physical Review Letters, Vol. 113, Issue 13
Quantum sensing
journal, July 2017
- Degen, C. L.; Reinhard, F.; Cappellaro, P.
- Reviews of Modern Physics, Vol. 89, Issue 3
Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker
conference, July 2015
- Stromatias, Evangelos; Neil, Daniel; Galluppi, Francesco
- 2015 International Joint Conference on Neural Networks (IJCNN)
Sparse Coding via Thresholding and Local Competition in Neural Circuits
journal, October 2008
- Rozell, Christopher J.; Johnson, Don H.; Baraniuk, Richard G.
- Neural Computation, Vol. 20, Issue 10
Quantum Generative Adversarial Learning
journal, July 2018
- Lloyd, Seth; Weedbrook, Christian
- Physical Review Letters, Vol. 121, Issue 4
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
conference, December 2015
- He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing
- 2015 IEEE International Conference on Computer Vision (ICCV)
Superparamagnetic Clustering of Data
journal, April 1996
- Blatt, Marcelo; Wiseman, Shai; Domany, Eytan
- Physical Review Letters, Vol. 76, Issue 18
Adiabatic quantum optimization for associative memory recall
journal, December 2014
- Seddiqi, Hadayat; Humble, Travis S.
- Frontiers in Physics, Vol. 2
Systematic and deterministic graph minor embedding for Cartesian products of graphs
journal, April 2017
- Zaribafiyan, Arman; Marchand, Dominic J. J.; Changiz Rezaei, Seyed Saeed
- Quantum Information Processing, Vol. 16, Issue 5
Gradient-based learning applied to document recognition
journal, January 1998
- Lecun, Y.; Bottou, L.; Bengio, Y.
- Proceedings of the IEEE, Vol. 86, Issue 11
Coherent Ising machine based on degenerate optical parametric oscillators
journal, December 2013
- Wang, Zhe; Marandi, Alireza; Wen, Kai
- Physical Review A, Vol. 88, Issue 6
Experimental investigation of performance differences between coherent Ising machines and a quantum annealer
journal, May 2019
- Hamerly, Ryan; Inagaki, Takahiro; McMahon, Peter L.
- Science Advances, Vol. 5, Issue 5
Glassy Chimeras Could Be Blind to Quantum Speedup: Designing Better Benchmarks for Quantum Annealing Machines
journal, April 2014
- Katzgraber, Helmut G.; Hamze, Firas; Andrist, Ruben S.
- Physical Review X, Vol. 4, Issue 2
A language and hardware independent approach to quantum–classical computing
journal, January 2018
- McCaskey, A. J.; Dumitrescu, E. F.; Liakh, D.
- SoftwareX, Vol. 7
Rapid, parallel path planning by propagating wavefronts of spiking neural activity
journal, January 2013
- Ponulak, Filip; Hopfield, John J.
- Frontiers in Computational Neuroscience, Vol. 7
Rebooting Computing: The Road Ahead
journal, January 2017
- Conte, Thomas M.; DeBenedictis, Erik P.; Gargini, Paolo A.
- Computer, Vol. 50, Issue 1
Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition
journal, May 2013
- Kasabov, Nikola; Dhoble, Kshitij; Nuntalid, Nuttapod
- Neural Networks, Vol. 41
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
journal, September 2017
- Kandala, Abhinav; Mezzacapo, Antonio; Temme, Kristan
- Nature, Vol. 549, Issue 7671
The complexity of some polynomial network consistency algorithms for constraint satisfaction problems
journal, January 1985
- Mackworth, Alan K.; Freuder, Eugene C.
- Artificial Intelligence, Vol. 25, Issue 1
In-Datacenter Performance Analysis of a Tensor Processing Unit
conference, January 2017
- Jouppi, Norman P.; Borchers, Al; Boyle, Rick
- Proceedings of the 44th Annual International Symposium on Computer Architecture - ISCA '17
Associative Dynamics in a Chaotic Neural Network
journal, January 1997
- Adachi, Masaharu; Aihara, Kazuyuki
- Neural Networks, Vol. 10, Issue 1
Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
journal, January 1999
- Shor, Peter W.
- SIAM Review, Vol. 41, Issue 2
Phase transitions in random Potts systems and the community detection problem: spin-glass type and dynamic perspectives
journal, February 2012
- Hu, Dandan; Ronhovde, Peter; Nussinov, Zohar
- Philosophical Magazine, Vol. 92, Issue 4
Quantum Annealing for Constrained Optimization
journal, March 2016
- Hen, Itay; Spedalieri, Federico M.
- Physical Review Applied, Vol. 5, Issue 3
Quantum machine learning
journal, September 2017
- Biamonte, Jacob; Wittek, Peter; Pancotti, Nicola
- Nature, Vol. 549, Issue 7671
Quantum annealing: The fastest route to quantum computation?
journal, February 2015
- Laumann, C. R.; Moessner, R.; Scardicchio, A.
- The European Physical Journal Special Topics, Vol. 224, Issue 1
What would you do with 1000 qubits?
journal, June 2018
- Morello, Andrea
- Quantum Science and Technology, Vol. 3, Issue 3
The basins of attraction of a new Hopfield learning rule
journal, July 1999
- Storkey, A. J.; Valabregue, R.
- Neural Networks, Vol. 12, Issue 6
Scalable Quantum Simulation of Molecular Energies
journal, July 2016
- O’Malley, P. J. J.; Babbush, R.; Kivlichan, I. D.
- Physical Review X, Vol. 6, Issue 3
Pattern recall in networks of chaotic neurons
journal, February 2007
- Crook, Nigel; Goh, Wee Jin; Hawarat, Mohammad
- Biosystems, Vol. 87, Issue 2-3
Superconducting Optoelectronic Circuits for Neuromorphic Computing
journal, March 2017
- Shainline, Jeffrey M.; Buckley, Sonia M.; Mirin, Richard P.
- Physical Review Applied, Vol. 7, Issue 3
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
conference, August 2013
- Esser, Steve K.; Andreopoulos, Alexander; Appuswamy, Rathinakumar
- 2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas), The 2013 International Joint Conference on Neural Networks (IJCNN)
Design and Analysis of a Neuromemristive Reservoir Computing Architecture for Biosignal Processing
journal, February 2016
- Kudithipudi, Dhireesha; Saleh, Qutaiba; Merkel, Cory
- Frontiers in Neuroscience, Vol. 9
Gibbs sampling with low-power spiking digital neurons
conference, May 2015
- Das, Srinjoy; Pedroni, Bruno Umbria; Merolla, Paul
- 2015 IEEE International Symposium on Circuits and Systems (ISCAS)
Experimental comparison of two quantum computing architectures
journal, March 2017
- Linke, Norbert M.; Maslov, Dmitri; Roetteler, Martin
- Proceedings of the National Academy of Sciences, Vol. 114, Issue 13
Associative memory in networks of spiking neurons
journal, July 2001
- Sommer, Friedrich T.; Wennekers, Thomas
- Neural Networks, Vol. 14, Issue 6-7
Optimizing adiabatic quantum program compilation using a graph-theoretic framework
journal, April 2018
- Goodrich, Timothy D.; Sullivan, Blair D.; Humble, Travis S.
- Quantum Information Processing, Vol. 17, Issue 5
Locally Competitive Algorithms for Sparse Approximation
conference, September 2007
- Rozell, Christopher; Johnson, Don; Baraniuk, Richard
- 2007 IEEE International Conference on Image Processing
Bidirectional associative memories
journal, January 1988
- Kosko, B.
- IEEE Transactions on Systems, Man, and Cybernetics, Vol. 18, Issue 1
Statistical mechanics of community detection
journal, July 2006
- Reichardt, Jörg; Bornholdt, Stefan
- Physical Review E, Vol. 74, Issue 1
Max 2-SAT with up to 108 qubits
journal, April 2014
- Santra, Siddhartha; Quiroz, Gregory; Ver Steeg, Greg
- New Journal of Physics, Vol. 16, Issue 4
Gaussian optical Ising machines
journal, October 2017
- Clements, William R.; Renema, Jelmer J.; Wen, Y. Henry
- Physical Review A, Vol. 96, Issue 4
Empirical comparison of algorithms for network community detection
conference, January 2010
- Leskovec, Jure; Lang, Kevin J.; Mahoney, Michael
- Proceedings of the 19th international conference on World wide web - WWW '10
The use of Multiple Measurements in Taxonomic Problems
journal, September 1936
- Fisher, R. A.
- Annals of Eugenics, Vol. 7, Issue 2
Most Tensor Problems Are NP-Hard
journal, November 2013
- Hillar, Christopher J.; Lim, Lek-Heng
- Journal of the ACM, Vol. 60, Issue 6
Quantum annealing with manufactured spins
journal, May 2011
- Johnson, M. W.; Amin, M. H. S.; Gildert, S.
- Nature, Vol. 473, Issue 7346
Quantum Computing Circuits and Devices
journal, June 2019
- Humble, Travis S.; Thapliyal, Himanshu; Munoz-Coreas, Edgard
- IEEE Design & Test, Vol. 36, Issue 3
A variational eigenvalue solver on a photonic quantum processor
journal, July 2014
- Peruzzo, Alberto; McClean, Jarrod; Shadbolt, Peter
- Nature Communications, Vol. 5, Issue 1
Minor-embedding in adiabatic quantum computation: II. Minor-universal graph design
journal, October 2010
- Choi, Vicky
- Quantum Information Processing, Vol. 10, Issue 3
Approximation by superpositions of a sigmoidal function
journal, December 1989
- Cybenko, G.
- Mathematics of Control, Signals, and Systems, Vol. 2, Issue 4
Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level
journal, March 2018
- Chakma, Gangotree; Adnan, Md Musabbir; Wyer, Austin R.
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 8, Issue 1
Adiabatic quantum programming: minor embedding with hard faults
journal, November 2013
- Klymko, Christine; Sullivan, Blair D.; Humble, Travis S.
- Quantum Information Processing, Vol. 13, Issue 3
Solvable Model of a Spin-Glass
journal, December 1975
- Sherrington, David; Kirkpatrick, Scott
- Physical Review Letters, Vol. 35, Issue 26
Sparse Neural Networks With Large Learning Diversity
journal, July 2011
- Gripon, Vincent; Berrou, Claude
- IEEE Transactions on Neural Networks, Vol. 22, Issue 7
Network of time-multiplexed optical parametric oscillators as a coherent Ising machine
journal, October 2014
- Marandi, Alireza; Wang, Zhe; Takata, Kenta
- Nature Photonics, Vol. 8, Issue 12
Hierarchical quantum classifiers
journal, December 2018
- Grant, Edward; Benedetti, Marcello; Cao, Shuxiang
- npj Quantum Information, Vol. 4, Issue 1
Quantum algorithms: an overview
journal, January 2016
- Montanaro, Ashley
- npj Quantum Information, Vol. 2, Issue 1
A generative modeling approach for benchmarking and training shallow quantum circuits
journal, May 2019
- Benedetti, Marcello; Garcia-Pintos, Delfina; Perdomo, Oscar
- npj Quantum Information, Vol. 5, Issue 1
High-Performance Computing with Quantum Processing Units
journal, May 2017
- Britt, Keith A.; Humble, Travis S.
- ACM Journal on Emerging Technologies in Computing Systems, Vol. 13, Issue 3
Quantum speedup of the traveling-salesman problem for bounded-degree graphs
journal, March 2017
- Moylett, Dominic J.; Linden, Noah; Montanaro, Ashley
- Physical Review A, Vol. 95, Issue 3
Computational Principle and Performance Evaluation of Coherent Ising Machine Based on Degenerate Optical Parametric Oscillator Network
journal, April 2016
- Haribara, Yoshitaka; Utsunomiya, Shoko; Yamamoto, Yoshihisa
- Entropy, Vol. 18, Issue 4
Fast clique minor generation in Chimera qubit connectivity graphs
journal, October 2015
- Boothby, Tomas; King, Andrew D.; Roy, Aidan
- Quantum Information Processing, Vol. 15, Issue 1
Movement prediction from real-world images using a liquid state machine
journal, November 2006
- Burgsteiner, Harald; Kröll, Mark; Leopold, Alexander
- Applied Intelligence, Vol. 26, Issue 2
An evolutionary optimization framework for neural networks and neuromorphic architectures
conference, July 2016
- Schuman, Catherine D.; Plank, James S.; Disney, Adam
- 2016 International Joint Conference on Neural Networks (IJCNN)
Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
journal, September 2000
- Song, Sen; Miller, Kenneth D.; Abbott, L. F.
- Nature Neuroscience, Vol. 3, Issue 9
Simulated annealing
book, January 1987
- van Laarhoven, Peter J. M.; Aarts, Emile H. L.
- Simulated Annealing: Theory and Applications
A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem
journal, April 2001
- Farhi, E.; Goldstone, J.; Gutmann, S.
- Science, Vol. 292, Issue 5516
Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community
journal, September 2011
- Vetter, Jeffrey S.; Glassbrook, Richard; Dongarra, Jack
- Computing in Science & Engineering, Vol. 13, Issue 5
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware
conference, October 2016
- Diehl, Peter U.; Zarrella, Guido; Cassidy, Andrew
- 2016 IEEE International Conference on Rebooting Computing (ICRC)
The SpiNNaker Project
journal, May 2014
- Furber, Steve B.; Galluppi, Francesco; Temple, Steve
- Proceedings of the IEEE, Vol. 102, Issue 5
A quantum engineer's guide to superconducting qubits
journal, June 2019
- Krantz, P.; Kjaergaard, M.; Yan, F.
- Applied Physics Reviews, Vol. 6, Issue 2
Efficient associative memory using small-world architecture
journal, June 2001
- Bohland, Jason W.; Minai, Ali A.
- Neurocomputing, Vol. 38-40
An initialization strategy for addressing barren plateaus in parametrized quantum circuits
journal, December 2019
- Grant, Edward; Wossnig, Leonard; Ostaszewski, Mateusz
- Quantum, Vol. 3
Characteristics of sparsely encoded associative memory
journal, January 1989
- Amari, Shun-ichi
- Neural Networks, Vol. 2, Issue 6
Quantum reservoir processing
journal, April 2019
- Ghosh, Sanjib; Opala, Andrzej; Matuszewski, Michał
- npj Quantum Information, Vol. 5, Issue 1
Adiabatic quantum computation
journal, January 2018
- Albash, Tameem; Lidar, Daniel A.
- Reviews of Modern Physics, Vol. 90, Issue 1
Sublinear-Time Quantum Computation of the Diameter in CONGEST Networks
conference, July 2018
- Le Gall, François; Magniez, Frédéric
- PODC '18: ACM Symposium on Principles of Distributed Computing, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing
Quantum Optimization of Fully Connected Spin Glasses
journal, September 2015
- Venturelli, Davide; Mandrà, Salvatore; Knysh, Sergey
- Physical Review X, Vol. 5, Issue 3
An introduction to quantum machine learning
journal, October 2014
- Schuld, Maria; Sinayskiy, Ilya; Petruccione, Francesco
- Contemporary Physics, Vol. 56, Issue 2
Supervised learning with quantum-enhanced feature spaces
journal, March 2019
- Havlíček, Vojtěch; Córcoles, Antonio D.; Temme, Kristan
- Nature, Vol. 567, Issue 7747
Thermally assisted quantum annealing of a 16-qubit problem
journal, May 2013
- Dickson, N. G.; Johnson, M. W.; Amin, M. H.
- Nature Communications, Vol. 4, Issue 1
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
journal, May 2015
- Prezioso, M.; Merrikh-Bayat, F.; Hoskins, B. D.
- Nature, Vol. 521, Issue 7550
Learning and inference on generative adversarial quantum circuits
journal, May 2019
- Zeng, Jinfeng; Wu, Yufeng; Liu, Jin-Guo
- Physical Review A, Vol. 99, Issue 5
Error Mitigation for Short-Depth Quantum Circuits
journal, November 2017
- Temme, Kristan; Bravyi, Sergey; Gambetta, Jay M.
- Physical Review Letters, Vol. 119, Issue 18
Demonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing
journal, July 2018
- Albash, Tameem; Lidar, Daniel A.
- Physical Review X, Vol. 8, Issue 3
Demonstration of quantum advantage in machine learning
journal, April 2017
- Ristè, Diego; da Silva, Marcus P.; Ryan, Colm A.
- npj Quantum Information, Vol. 3, Issue 1
Neurons with graded response have collective computational properties like those of two-state neurons.
journal, May 1984
- Hopfield, J. J.
- Proceedings of the National Academy of Sciences, Vol. 81, Issue 10
SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation
journal, August 2013
- Painkras, Eustace; Plana, Luis A.; Garside, Jim
- IEEE Journal of Solid-State Circuits, Vol. 48, Issue 8
Fast Quantum Algorithm for Numerical Gradient Estimation
journal, July 2005
- Jordan, Stephen P.
- Physical Review Letters, Vol. 95, Issue 5
An integrated programming and development environment for adiabatic quantum optimization
journal, January 2014
- S. Humble, T.; J. McCaskey, A.; S. Bennink, R.
- Computational Science & Discovery, Vol. 7, Issue 1
Enabling and scaling matrix computations on heterogeneous multi-core and multi-GPU systems
conference, January 2012
- Song, Fengguang; Tomov, Stanimire; Dongarra, Jack
- Proceedings of the 26th ACM international conference on Supercomputing - ICS '12
Generative model benchmarks for superconducting qubits
journal, June 2019
- Hamilton, Kathleen E.; Dumitrescu, Eugene F.; Pooser, Raphael C.
- Physical Review A, Vol. 99, Issue 6
Willshaw model: Associative memory with sparse coding and low firing rates
journal, February 1990
- Golomb, D.; Rubin, N.; Sompolinsky, H.
- Physical Review A, Vol. 41, Issue 4
The Super-Turing Computational Power of Plastic Recurrent Neural Networks
journal, November 2014
- Cabessa, JÉRÉMie; Siegelmann, Hava T.
- International Journal of Neural Systems, Vol. 24, Issue 08
Label propagation through neuronal synchrony
conference, July 2010
- Quiles, Marcos G.; Zhao, Liang; Breve, Fabricio A.
- The 2010 International Joint Conference on Neural Networks (IJCNN)
Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model
journal, May 2018
- van Albada, Sacha J.; Rowley, Andrew G.; Senk, Johanna
- Frontiers in Neuroscience, Vol. 12
A Fast Learning Algorithm for Deep Belief Nets
journal, July 2006
- Hinton, Geoffrey E.; Osindero, Simon; Teh, Yee-Whye
- Neural Computation, Vol. 18, Issue 7
Demonstration of a small programmable quantum computer with atomic qubits
journal, August 2016
- Debnath, S.; Linke, N. M.; Figgatt, C.
- Nature, Vol. 536, Issue 7614
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
conference, November 2016
- Potok, Thomas E.; Schuman, Catherine D.; Young, Steven R.
- 2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC)
Deep learning in neural networks: An overview
journal, January 2015
- Schmidhuber, Jürgen
- Neural Networks, Vol. 61
Temperature Scaling Law for Quantum Annealing Optimizers
journal, September 2017
- Albash, Tameem; Martin-Mayor, Victor; Hen, Itay
- Physical Review Letters, Vol. 119, Issue 11
Identifying the minor set cover of dense connected bipartite graphs via random matching edge sets
journal, February 2017
- Hamilton, Kathleen E.; Humble, Travis S.
- Quantum Information Processing, Vol. 16, Issue 4
Community detection in graphs
journal, February 2010
- Fortunato, Santo
- Physics Reports, Vol. 486, Issue 3-5
Local resolution-limit-free Potts model for community detection
journal, April 2010
- Ronhovde, Peter; Nussinov, Zohar
- Physical Review E, Vol. 81, Issue 4
Error mitigation extends the computational reach of a noisy quantum processor
journal, March 2019
- Kandala, Abhinav; Temme, Kristan; Córcoles, Antonio D.
- Nature, Vol. 567, Issue 7749
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
journal, June 2018
- Perdomo-Ortiz, Alejandro; Benedetti, Marcello; Realpe-Gómez, John
- Quantum Science and Technology, Vol. 3, Issue 3
Minor-embedding in adiabatic quantum computation: I. The parameter setting problem
journal, September 2008
- Choi, Vicky
- Quantum Information Processing, Vol. 7, Issue 5