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Published in 2024 at "ACS Photonics"
DOI: 10.1021/acsphotonics.5c01820
Abstract: Photonics has unlocked the potential for energy-efficient acceleration of deep learning. Most approaches toward photonic deep learning have diligently reproduced traditional deep learning architectures using photonic platforms, separately implementing linear-optical matrix calculations and nonlinear activations…
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Keywords:
deep learning;
photonic neural;
nonlinear unitary;
unitary circuits ... See more keywords
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Published in 2019 at "Physical Review B"
DOI: 10.1103/physrevb.100.064309
Abstract: We introduce an approach to compute reduced density matrices for local quantum unitary circuits of finite depth and infinite width. Suppose the time-evolved state under the circuit is a matrix-product state with bond dimension $D$;…
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Keywords:
circuits finite;
unitary circuits;
finite depth;
depth infinite ... See more keywords
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Published in 2025 at "Physical Review B"
DOI: 10.1103/physrevb.111.184301
Abstract: Random unitary circuits have become a model system to investigate information scrambling in quantum systems. In the literature, mostly random circuits with Haar-distributed gate operations have been considered. In this work, we investigate operator spreading…
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Keywords:
haar distributed;
unitary circuits;
gate;
unitary invariant ... See more keywords