Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Files

TFM Erik Recio.pdf (3.51 MB)

Document type

Master thesis

Publication date

2022-09

Publication license

cc-by-nc-nd (c) Recio, 2022
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/189366

Simulating Quantum Computers with Tensor Networks

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

Abstract

We are setting up a pipeline to simulate variational quantum algorithms for relevant system sizes. Most simulators only allow for a few qubits. With tensor networks we can access much larger systems. One of the most promising algorithms is the variational quantum eigensolver, where a parametrized circuit is optimized to prepare an approximation of the ground state. We are investigating the reverse process of disentangling a ground state to a product state variationally, so we can study the necessary circuit depth needed in order to achieve the disentangling

Description

Màster Oficial de Ciència i Tecnologia Quàntiques / Quantum Science and Technology, Facultat de Física, Universitat de Barcelona. Curs: 2021-2022. Tutor: Antonio Acín, co-tutors: Korbinian Kottmann, Paolo Stornati

Subject

Algorisme quàntic, Xarxes tensorials, Solucionador quàntic variacional, Treballs de fi de màster

Subject (English)

Quantum algorithm, Tensor network, Variational quantum eigensolver, Master's theses

Citation

Collections

Màster Oficial - Ciència i Tecnologia Quàntiques / Quantum Science and Technology

Citation

RECIO ARMENGOL, Erik. Simulating Quantum Computers with Tensor Networks. [consulted: 16 of August of 2026]. Available at: https://hdl.handle.net/2445/189366

Export metadata

JSON - METS

Share record