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Diagrammatic Differentiation for Quantum Machine Learning

Diagrammatic Differentiation for Quantum Machine Learning

14 March 2021
Alexis Toumi
Richie Yeung
G. Felice
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Papers citing "Diagrammatic Differentiation for Quantum Machine Learning"

5 / 5 papers shown
Title
Differentiating and Integrating ZX Diagrams with Applications to Quantum
  Machine Learning
Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
Quanlong Wang
Richie Yeung
Mark Koch
24
8
0
31 Jan 2022
A Quantum Natural Language Processing Approach to Musical Intelligence
A Quantum Natural Language Processing Approach to Musical Intelligence
E. Miranda
Richie Yeung
A. Pearson
K. Meichanetzidis
B. Coecke
11
19
0
10 Nov 2021
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
6
68
0
08 Oct 2021
How to make qubits speak
How to make qubits speak
B. Coecke
G. Felice
K. Meichanetzidis
Alexis Toumi
19
6
0
02 Jul 2021
Functorial Language Models
Functorial Language Models
Alexis Toumi
Alex Koziell-Pipe
11
3
0
26 Mar 2021
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