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Readiness of Quantum Optimization Machines for Industrial Applications
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A million spiking-neuron integrated circuit with a scalable communication network and interface
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Ising formulation of associative memory models and quantum annealing recall
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December 2017 |
Mapping Generative Models onto a Network of Digital Spiking Neurons
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Sparse Hardware Embedding of Spiking Neuron Systems for Community Detection
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July 2018 |
Quantum Computation and Quantum Information
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Graph Partitioning using Quantum Annealing on the D-Wave System
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Programming Spiking Neural Networks on Intel’s Loihi
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Training Products of Experts by Minimizing Contrastive Divergence
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August 2002 |
Differentiable learning of quantum circuit Born machines
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Efficient Variational Quantum Simulator Incorporating Active Error Minimization
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June 2017 |
Using Stochastic Spiking Neural Networks on SpiNNaker to Solve Constraint Satisfaction Problems
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Quantum correlation in degenerate optical parametric oscillators with mutual injections
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Quantum Computing in the NISQ era and beyond
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Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer
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Error-backpropagation in temporally encoded networks of spiking neurons
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Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics
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A coherent Ising machine for 2000-node optimization problems
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A fully programmable 100-spin coherent Ising machine with all-to-all connections
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Triangle Finding and Listing in CONGEST Networks
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PODC '17: ACM Symposium on Principles of Distributed Computing, Proceedings of the ACM Symposium on Principles of Distributed Computing
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conference
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July 2017 |
Simulating a perceptron on a quantum computer
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November 2017 |
Practical Quantum Error Mitigation for Near-Future Applications
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July 2018 |
Performance Models for Split-Execution Computing Systems
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May 2016 |
Storing Sparse Messages in Networks of Neural Cliques
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May 2014 |
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July 2018 |
Detecting Fuzzy Community Structures in Complex Networks with a Potts Model
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November 2004 |
Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning
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August 2017 |
Quantum circuit learning
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September 2018 |
Ising formulations of many NP problems
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January 2014 |
Barren plateaus in quantum neural network training landscapes
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November 2018 |
A fast quantum mechanical algorithm for database search
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conference
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January 1996 |
Quantum-assisted Helmholtz machines: A quantum–classical deep learning framework for industrial datasets in near-term devices
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May 2018 |
Quantum model for coherent Ising machines: Stochastic differential equations with replicator dynamics
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November 2017 |
The theory of variational hybrid quantum-classical algorithms
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February 2016 |
Convolutional networks for fast, energy-efficient neuromorphic computing
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September 2016 |
Quantum optimization using variational algorithms on near-term quantum devices
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What is the Computational Value of Finite-Range Tunneling?
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A case study in programming a quantum annealer for hard operational planning problems
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Adversarial quantum circuit learning for pure state approximation
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Evaluating analytic gradients on quantum hardware
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Training deep neural networks for binary communication with the Whetstone method
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Quantum generative adversarial networks
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Quantum Support Vector Machine for Big Data Classification
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Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker
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Sparse Coding via Thresholding and Local Competition in Neural Circuits
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Quantum Generative Adversarial Learning
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
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Superparamagnetic Clustering of Data
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Glassy Chimeras Could Be Blind to Quantum Speedup: Designing Better Benchmarks for Quantum Annealing Machines
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A language and hardware independent approach to quantum–classical computing
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Rebooting Computing: The Road Ahead
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Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition
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Quantum Annealing for Constrained Optimization
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July 1999 |
Scalable Quantum Simulation of Molecular Energies
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February 2007 |
Superconducting Optoelectronic Circuits for Neuromorphic Computing
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journal
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2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas), The 2013 International Joint Conference on Neural Networks (IJCNN)
https://doi.org/10.1109/IJCNN.2013.6706746
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August 2013 |
Design and Analysis of a Neuromemristive Reservoir Computing Architecture for Biosignal Processing
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February 2016 |
Gibbs sampling with low-power spiking digital neurons
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conference
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May 2015 |
Experimental comparison of two quantum computing architectures
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journal
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March 2017 |
Associative memory in networks of spiking neurons
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journal
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July 2001 |
Optimizing adiabatic quantum program compilation using a graph-theoretic framework
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journal
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April 2018 |
Locally Competitive Algorithms for Sparse Approximation
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Max 2-SAT with up to 108 qubits
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October 2017 |
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The use of Multiple Measurements in Taxonomic Problems
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September 1936 |
Most Tensor Problems Are NP-Hard
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Quantum annealing with manufactured spins
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May 2011 |
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June 2019 |
A variational eigenvalue solver on a photonic quantum processor
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Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level
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Solvable Model of a Spin-Glass
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Sparse Neural Networks With Large Learning Diversity
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A generative modeling approach for benchmarking and training shallow quantum circuits
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High-Performance Computing with Quantum Processing Units
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Quantum speedup of the traveling-salesman problem for bounded-degree graphs
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Computational Principle and Performance Evaluation of Coherent Ising Machine Based on Degenerate Optical Parametric Oscillator Network
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Efficient associative memory using small-world architecture
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Characteristics of sparsely encoded associative memory
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Adiabatic quantum computation
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Sublinear-Time Quantum Computation of the Diameter in CONGEST Networks
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PODC '18: ACM Symposium on Principles of Distributed Computing, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing
https://doi.org/10.1145/3212734.3212744
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conference
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July 2018 |
Quantum Optimization of Fully Connected Spin Glasses
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September 2015 |
An introduction to quantum machine learning
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October 2014 |
Supervised learning with quantum-enhanced feature spaces
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March 2019 |
Thermally assisted quantum annealing of a 16-qubit problem
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May 2013 |
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
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May 2015 |
Learning and inference on generative adversarial quantum circuits
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journal
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May 2019 |
Error Mitigation for Short-Depth Quantum Circuits
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November 2017 |
Demonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing
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July 2018 |
Demonstration of quantum advantage in machine learning
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April 2017 |
Neurons with graded response have collective computational properties like those of two-state neurons.
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journal
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May 1984 |
SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation
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journal
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August 2013 |
Fast Quantum Algorithm for Numerical Gradient Estimation
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journal
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July 2005 |
An integrated programming and development environment for adiabatic quantum optimization
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journal
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January 2014 |
Enabling and scaling matrix computations on heterogeneous multi-core and multi-GPU systems
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conference
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January 2012 |
Generative model benchmarks for superconducting qubits
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journal
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June 2019 |
Willshaw model: Associative memory with sparse coding and low firing rates
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February 1990 |
The Super-Turing Computational Power of Plastic Recurrent Neural Networks
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journal
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November 2014 |
Label propagation through neuronal synchrony
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conference
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Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model
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journal
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May 2018 |
A Fast Learning Algorithm for Deep Belief Nets
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journal
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July 2006 |
Demonstration of a small programmable quantum computer with atomic qubits
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August 2016 |
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
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conference
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Deep learning in neural networks: An overview
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journal
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January 2015 |
Temperature Scaling Law for Quantum Annealing Optimizers
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journal
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September 2017 |
Identifying the minor set cover of dense connected bipartite graphs via random matching edge sets
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February 2017 |
Community detection in graphs
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journal
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February 2010 |
Local resolution-limit-free Potts model for community detection
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journal
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April 2010 |
Error mitigation extends the computational reach of a noisy quantum processor
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journal
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March 2019 |
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
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journal
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June 2018 |
Minor-embedding in adiabatic quantum computation: I. The parameter setting problem
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journal
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September 2008 |