Konstantinos Meichanetzidis — accepted AI-conference papers

2024

Quantum Recurrent Architectures for Text Classification

Wenduan Xu, Stephen Clark, Douglas Brown, Gabriel Matos, Konstantinos Meichanetzidis

EMNLP 2024main

We develop quantum RNNs with cells based on Parametrised Quantum Circuits (PQCs). PQCs can provide a form of hybrid quantum-classical computation where the input and the output is in the form of classical data. The previous “hidden” state is the quantum state from the previous time-step, and an angl…

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2022

Equivariant Quantum Graph Circuits

Peter Mernyei, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan

ICML 2022spotlight

We investigate quantum circuits for graph representation learning, and propose equivariant quantum graph circuits (EQGCs), as a class of parameterized quantum circuits with strong relational inductive bias for learning over graph-structured data. Conceptually, EQGCs serve as a unifying framework for…

Cited by 50 Source ↗PDF ↗Scholar ↗