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Design and Implementation of a Quantum Kernel for Natural Language
  Processing

Design and Implementation of a Quantum Kernel for Natural Language Processing

13 May 2022
M. Wright
ArXivPDFHTML

Papers citing "Design and Implementation of a Quantum Kernel for Natural Language Processing"

8 / 8 papers shown
Title
lambeq: An Efficient High-Level Python Library for Quantum NLP
lambeq: An Efficient High-Level Python Library for Quantum NLP
Dimitri Kartsaklis
Ian Fan
Richie Yeung
A. Pearson
Robin Lorenz
Alexis Toumi
G. Felice
K. Meichanetzidis
S. Clark
B. Coecke
46
69
0
08 Oct 2021
QNLP in Practice: Running Compositional Models of Meaning on a Quantum
  Computer
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
Robin Lorenz
A. Pearson
K. Meichanetzidis
Dimitri Kartsaklis
B. Coecke
54
111
0
25 Feb 2021
Supervised quantum machine learning models are kernel methods
Supervised quantum machine learning models are kernel methods
Maria Schuld
136
369
0
26 Jan 2021
A hybrid classical-quantum workflow for natural language processing
A hybrid classical-quantum workflow for natural language processing
Lee James O'Riordan
Myles Doyle
F. Baruffa
V. Kannan
27
23
0
12 Apr 2020
The Mathematics of Text Structure
The Mathematics of Text Structure
B. Coecke
43
48
0
06 Apr 2019
Supervised learning with quantum enhanced feature spaces
Supervised learning with quantum enhanced feature spaces
Vojtěch Havlíček
A. Córcoles
K. Temme
A. Harrow
A. Kandala
J. Chow
J. Gambetta
66
1,823
0
30 Apr 2018
Quantum Algorithms for Compositional Natural Language Processing
Quantum Algorithms for Compositional Natural Language Processing
W. Zeng
B. Coecke
57
72
0
04 Aug 2016
Mathematical Foundations for a Compositional Distributional Model of
  Meaning
Mathematical Foundations for a Compositional Distributional Model of Meaning
B. Coecke
M. Sadrzadeh
S. Clark
CoGe
97
568
0
23 Mar 2010
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