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Quantum algorithms for group convolution, cross-correlation, and
  equivariant transformations

Quantum algorithms for group convolution, cross-correlation, and equivariant transformations

23 September 2021
Grecia Castelazo
Quynh T. Nguyen
Giacomo De Palma
Dirk Englund
S. Lloyd
B. Kiani
ArXivPDFHTML

Papers citing "Quantum algorithms for group convolution, cross-correlation, and equivariant transformations"

4 / 4 papers shown
Title
Theory for Equivariant Quantum Neural Networks
Theory for Equivariant Quantum Neural Networks
Quynh T. Nguyen
Louis Schatzki
Paolo Braccia
Michael Ragone
Patrick J. Coles
F. Sauvage
Martín Larocca
M. Cerezo
40
89
0
16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning
Representation Theory for Geometric Quantum Machine Learning
Michael Ragone
Paolo Braccia
Quynh T. Nguyen
Louis Schatzki
Patrick J. Coles
F. Sauvage
Martín Larocca
M. Cerezo
AI4CE
28
73
0
14 Oct 2022
Group-Invariant Quantum Machine Learning
Group-Invariant Quantum Machine Learning
Martín Larocca
F. Sauvage
Faris M. Sbahi
Guillaume Verdon
Patrick J. Coles
M. Cerezo
AI4CE
18
117
0
04 May 2022
projUNN: efficient method for training deep networks with unitary
  matrices
projUNN: efficient method for training deep networks with unitary matrices
B. Kiani
Randall Balestriero
Yann LeCun
S. Lloyd
43
32
0
10 Mar 2022
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