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Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing.
Networks of spiking neurons: The third generation of neural network models
Maass, W · 1997
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Quantum template matching
Sasaki, M., Carlini, A. & Jozsa, R · 2001
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A simple formula for the average gate fidelity of a quantum dynamical operation
Nielsen, M. A · 2002
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Probability product kernels
Jebara, T., Kondor, R. & Howard, A · 2004
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Sideband transitions and two-tone spectroscopy of a superconducting qubit strongly coupled to an on-chip cavity
Wallraff, A. et al · 2007
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The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east
Gantz, J. & Reinsel, D · 2012
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ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I. & Hinton, G. E · 2012
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Quantum learning without quantum memory
Sentís, G., Calsamiglia, J., Muñoz-Tapia, R. & Bagan, E · 2012
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Qutip: An open-source python framework for the dynamics of open quantum systems
Johansson, J. R., Nation, P. D. & Nori, F · 2012
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Universal computation by multiparticle quantum walk
Childs, A. M., Gosset, D. & Webb, Z · 2013
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Sequence to sequence learning with neural networks
Sutskever, I., Vinyals, O. & Le, Q. V · 2014
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A million spiking-neuron integrated circuit with a scalable communication network and interface
Merolla, P. A. et al · 2014
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Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations
Benjamin, B. V. et al · 2014
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A variational eigenvalue solver on a photonic quantum processor
Peruzzo, A. et al · 2014
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A quantum approximate optimization algorithm
Farhi, E., Goldstone, J. & Gutmann, S · 2014
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The rise of “big data” on cloud computing: Review and open research issues
Hashem, I. A. T. et al · 2015
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The chips are down for Moore’s law
Waldrop, M. M · 2016
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Quantum perceptron models
Kapoor, A., Wiebe, N. & Svore, K · 2016
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The theory of variational hybrid quantum-classical algorithms
McClean, J. R., Romero, J., Babbush, R. & Aspuru-Guzik, A · 2016
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Procedure for systematically tuning up cross-talk in the cross-resonance gate
Sheldon, S., Magesan, E., Chow, J. M. & Gambetta, J. M · 2016
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Quantum machine learning
Biamonte, J. et al · 2017
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Continuous-variable quantum neural networks
Killoran, N. et al · 2019
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An artificial neuron implemented on an actual quantum processor
Tacchino, F., Macchiavello, C., Gerace, D. & Bajoni, D · 2019
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Quantum optical neural networks
Steinbrecher, G. R., Olson, J. P., Englund, D. & Carolan, J · 2019
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Towards spike-based machine intelligence with neuromorphic computing
Roy, K., Jaiswal, A. & Panda, P · 2019
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Unitary quantum perceptron as efficient universal approximator
Torrontegui, E. & García-Ripoll, J. J · 2019
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Quantum machine learning in feature Hilbert spaces
Schuld, M. & Killoran, N · 2019
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Monràs, A., Sentís, G. & Wittek, P · 2017
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A simple approach to self-testing multipartite entangled states
Šupić, I., Coladangelo, A., Augusiak, R. & Acín, A · 2017
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Quantum computing in the NISQ era and beyond
Preskill, J · 2018
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Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Dunjko, V. & Briegel, H. J · 2018
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Measurement-based adaptation protocol with quantum reinforcement learning
Albarrán-Arriagada, F., Retamal, J. C., Solano, E. & Lamata, L · 2018
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Tuneable hopping and nonlinear cross-Kerr interactions in a high-coherence superconducting circuit
Kounalakis, M., Dickel, C., Bruno, A., Langford, N. K. & Steele, G. A · 2018
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Havlíček, V. et al · 2019
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Universal quantum control through deep reinforcement learning
Niu, M. Y., Boixo, S., Smelyanskiy, V. N. & Neven, H · 2019
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Circuit-centric quantum classifiers
Schuld, M., Bocharov, A., Svore, K. M. & Wiebe, N · 2020
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Superconducting qubits: Current state of play
Kjaergaard, M. et al · 2020
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Quantized three-ion-channel neuron model for neural action potentials
Gonzalez-Raya, T., Solano, E. & Sanz, M · 2020
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Magann, A. B. et al · 2020
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Assessing three closed-loop learning algorithms by searching for high-quality quantum control pulses
Yang, X.-d. et al · 2020
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Evolutionary computation for adaptive quantum device design
Mortimer, L., Estarellas, M. P., Spiller, T. P. & D’Amico, I · 2020
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