Andrew T. Sornborger

40 papers C 2Misc 2Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-tuning neuromorphic controller for real-time UAS trajectory tracking based on prescribed error sensitivity. Neural Comput. Appl. Anel Olivares Cruz, Eduardo Steed Espinoza, Luis Enrique Ramos-Velasco, Omar A. García A., Luis Rodolfo García Carrillo, Andrew T. Sornborger
2025	J	`jnl`	Improving the efficiency of learning-based error mitigation. Quantum Piotr Czarnik, Michael M. McKerns, Andrew T. Sornborger, Lukasz Cincio
2025	J	`jnl`	Quantum algorithms for general nonlinear dynamics based on the Carleman embedding. CoRR David Jennings, Kamil Korzekwa, Matteo Lostaglio, Andrew T. Sornborger, Yigit Subasi, Guoming Wang
2024	J	`jnl`	Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes. CoRR Alice Barthe, Marco Cerezo, Andrew T. Sornborger, Martin Larocca, Diego García-Martín
2024	J	`jnl`	Neuromorphic on-chip reservoir computing with spiking neural network architectures. CoRR Samip Karki, Diego Chavez Arana, Andrew T. Sornborger, Francesco Caravelli
2024	C	`conf`	Spiking Neural Network-Based Control of an Unmanned Aerial System Implemented on a Customized Neural Flight Simulation Environment. ACC Omar A. García A., Diego Chavez Arana, Eduardo Steed Espinoza, Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Andrew T. Sornborger
2024	—	`conf`	Spiking Neural Network-based Flight Controller. NICE Diego Chavez Arana, Omar A. García A., Luis Rodolfo García Carrillo, Ignácio Rubio Scola, Eduardo Steed Espinoza, Andrew T. Sornborger
2024	J	`jnl`	The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts. Quantum David Jennings, Matteo Lostaglio, Robert B. Lowrie, Sam Pallister, Andrew T. Sornborger
2023	J	`jnl`	Binary operations on neuromorphic hardware with application to linear algebraic operations and stochastic equations. Neuromorph. Comput. Eng. Oleksandr Iaroshenko, Andrew T. Sornborger, Diego Chavez Arana
2023	C	`conf`	Biologically plausible robust control with Neural Network weight reset for unmanned aircraft systems under impulsive disturbances. ACC Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Andrew T. Sornborger, João P. Hespanha
2023	J	`jnl`	Efficient quantum linear solver algorithm with detailed running costs. CoRR David Jennings, Matteo Lostaglio, Sam Pallister, Andrew T. Sornborger, Yigit Subasi
2023	—	`conf`	Spiking LCA in a Neural Circuit with Dictionary Learning and Synaptic Normalization. NICE Diego Chavez Arana, Alpha Renner, Andrew T. Sornborger
2023	—	`conf`	Spiking Neural Network-based Control Applied to an Underactuated System. CCE Abel García-Barrientos, Diego Chavez Arana, Eduardo Steed Espinoza, Luis Rodolfo García Carrillo, António Osório-Cordero, Andrew T. Sornborger
2022	—	`conf`	A Neuromorphic Normalization Algorithm for Stabilizing Synaptic Weights with Application to Dictionary Learning in LCA. NICE Diego Chavez Arana, Alpha Renner, Andrew T. Sornborger
2022	J	`jnl`	Dynamical simulation via quantum machine learning with provable generalization. CoRR Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
2022	J	`jnl`	Inference-Based Quantum Sensing. CoRR Cinthia Huerta Alderete, Max Hunter Gordon, Frederic Sauvage, Akira Sone, Andrew T. Sornborger, Patrick J. Coles, Marco Cerezo
2022	J	`jnl`	Koopman von Neumann mechanics and the Koopman representation: A perspective on solving nonlinear dynamical systems with quantum computers. CoRR Yen Ting Lin, Robert B. Lowrie, Denis Aslangil, Yigit Subasi, Andrew T. Sornborger
2022	J	`jnl`	Out-of-distribution generalization for learning quantum dynamics. CoRR Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes
2021	—	`conf`	A neuromorphic control architecture inspired by the limbic system. CDC Ignácio Rubio Scola, Luis Rodolfo García Carrillo, Terrence C. Stewart, Andrew T. Sornborger
2021	J	`jnl`	Generalization in quantum machine learning from few training data. CoRR Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles
2021	J	`jnl`	Long-time simulations with high fidelity on quantum hardware. CoRR Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger
2021	J	`jnl`	The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware. CoRR Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew T. Sornborger
2020	J	`jnl`	Absence of Barren Plateaus in Quantum Convolutional Neural Networks. CoRR Arthur Pesah, Marco Cerezo, Samson Wang, Tyler J. Volkoff, Andrew T. Sornborger, Patrick J. Coles
2020	—	`conf`	Implementing Backpropagation for Learning on Neuromorphic Spiking Hardware. NICE Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew T. Sornborger
2020	J	`jnl`	Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets. CoRR Kunal Sharma, Marco Cerezo, Zoë Holmes, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
2019	J	`jnl`	A Mechanism for Synaptic Copy Between Neural Circuits. Neural Comput. Yuxiu Shao, Binxu Wang, Andrew T. Sornborger, Louis Tao
2019	J	`jnl`	Quantum-assisted quantum compiling. Quantum Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
2018	J	`jnl`	Mutual Information and Information Gating in Synfire Chains. Entropy Zhuocheng Xiao, Binxu Wang, Andrew T. Sornborger, Louis Tao
2018	J	`jnl`	Toward prethreshold gate-based quantum simulation of chemical dynamics: using potential energy surfaces to simulate few-channel molecular collisions. Quantum Inf. Process. Andrew T. Sornborger, Phillip Stancil, Michael R. Geller
2016	Misc	`conf`	A multitaper, causal decomposition for stochastic, multivariate time series: Application to high-frequency calcium imaging data. ACSSC Andrew T. Sornborger, James D. Lauderdale
2016	Misc	`conf`	A pulse-gated, predictive neural circuit. ACSSC Yuxiu Shao, Andrew T. Sornborger, Louis Tao
2016	J	`jnl`	Graded, Dynamically Routable Information Processing with Synfire-Gated Synfire Chains. PLoS Comput. Biol. Zhuo Wang, Andrew T. Sornborger, Louis Tao
2015	J	`jnl`	A mechanism for graded, dynamically routable current propagation in pulse-gated synfire chains and implications for information coding. J. Comput. Neurosci. Andrew T. Sornborger, Zhuo Wang, Louis Tao
2012	J	`jnl`	Improved dimensionally-reduced visual cortical network using stochastic noise modeling. J. Comput. Neurosci. Louis Tao, Jeremy L. Praissman, Andrew T. Sornborger
2011	—	`conf`	Near-real-time connectivity estimation for multivariate neural data. EMBC Anne C. Smith, Christopher P. Fall, Andrew T. Sornborger
2010	J	`jnl`	Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions. J. Comput. Neurosci. Louis Tao, Andrew T. Sornborger
2007	J	`jnl`	Higher-order operator splitting methods for deterministic parabolic equations. Int. J. Comput. Math. Andrew T. Sornborger
2003	J	`jnl`	Extraction of periodic multivariate signals: mapping of voltage-dependent dye fluorescence in the mouse heart. IEEE Trans. Medical Imaging Andrew T. Sornborger, Lawrence Sirovich, Gregory Morley
2003	J	`jnl`	Spatiotemporal analysis of optical imaging data. NeuroImage Andrew T. Sornborger, C. Sailstad, Ehud Kaplan, L. Sirovich
2002	J	`jnl`	A Population Study of Integrate-and-Fire-or-Burst Neurons. Neural Comput. Alex Casti, Ahmet Omurtag, Andrew T. Sornborger, Ehud Kaplan, Bruce W. Knight, Jonathan D. Victor, L. Sirovich