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2008.01039
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Spiking neuromorphic chip learns entangled quantum states
3 August 2020
Stefanie Czischek
A. Baumbach
Sebastian Billaudelle
Benjamin Cramer
Lukas Kades
J. Pawlowski
M. Oberthaler
Johannes Schemmel
Mihai A. Petrovici
T. Gasenzer
M. Gärttner
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Papers citing
"Spiking neuromorphic chip learns entangled quantum states"
6 / 6 papers shown
Constraints on the design of neuromorphic circuits set by the properties of neural population codes
S. Panzeri
Ella Janotte
Alejandro Pequeño-Zurro
Jacopo Bonato
Chiara Bartolozzi
180
3
0
08 Dec 2022
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics
APL Machine Learning (AML), 2022
Dominique J. Kösters
Bryan A. Kortman
I. Boybat
Elena Ferro
Sagar Dolas
...
T. Rasing
H. Riel
Abu Sebastian
S. Caron
J. Mentink
328
17
0
21 Sep 2022
Three Learning Stages and Accuracy-Efficiency Tradeoff of Restricted Boltzmann Machines
Nature Communications (Nat Commun), 2022
Lennart Dabelow
Masahito Ueda
293
11
0
02 Sep 2022
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware
Frontiers in Neuroscience (Front. Neurosci.), 2022
Eric Müller
E. Arnold
O. Breitwieser
Milena Czierlinski
Arne Emmel
...
V. Karasenko
Mitja Kleider
Aron Leibfried
Christian Pehle
Johannes Schemmel
224
27
0
21 Mar 2022
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
Frontiers in Neuroscience (Front. Neurosci.), 2022
Christian Pehle
Sebastian Billaudelle
Benjamin Cramer
Jakob Kaiser
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Aron Leibfried
Eric Müller
Johannes Schemmel
429
213
0
26 Jan 2022
Variational learning of quantum ground states on spiking neuromorphic hardware
Robert Klassert
A. Baumbach
Mihai A. Petrovici
M. Gärttner
239
9
0
30 Sep 2021
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