Enhanced QTTN Design: Scalable Quantum Circuits for Arbitrary Qubit Counts

Krishnageetha Karuppasamy, Johnson Thomas

2025

Abstract

We explore the design and implementation of Enhanced Quantum Tree Tensor Networks (EQTTNs) for Variational Quantum Circuits. A Quantum Tree Tensor Network (QTTN) offers a hierarchical structure to manage entanglement and optimize quantum operations. The traditional requirement for constructing a QTTN is that the number of qubits (n) must be in the form n=2^x. This paper proposes an EQTTNs design that can accommodate any number of qubits. This flexibility means there are no restrictions on the problem size, allowing for broader applicability and scalability in various quantum computing tasks. We provide a comprehensive analysis of the parameter count required for EQTTNs. Experimental results validate our theoretical model, in terms of fidelity score and entanglement strength.

Paper Citation

in Harvard Style

Karuppasamy K. and Thomas J. (2025). Enhanced QTTN Design: Scalable Quantum Circuits for Arbitrary Qubit Counts. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 766-773. DOI: 10.5220/0013180900003890

in Bibtex Style

@conference{icaart25,
author={Krishnageetha Karuppasamy and Johnson Thomas},
title={Enhanced QTTN Design: Scalable Quantum Circuits for Arbitrary Qubit Counts},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={766-773},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013180900003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Enhanced QTTN Design: Scalable Quantum Circuits for Arbitrary Qubit Counts
SN - 978-989-758-737-5
AU - Karuppasamy K.
AU - Thomas J.
PY - 2025
SP - 766
EP - 773
DO - 10.5220/0013180900003890
PB - SciTePress