El CRAI romandrà tancat del 24 de desembre de 2025 al 6 de gener de 2026. La validació de documents es reprendrà a partir del 7 de gener de 2026.
El CRAI permanecerá cerrado del 24 de diciembre de 2025 al 6 de enero de 2026. La validación de documentos se reanudará a partir del 7 de enero de 2026.
From 2025-12-24 to 2026-01-06, the CRAI remain closed and the documents will be validated from 2026-01-07.
 
Carregant...
Miniatura

Tipus de document

Treball de fi de màster

Data de publicació

Llicència de publicació

cc-by-nc-nd (c) Tejedor, 2025
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/222573

Towards Scalable Quantum Simulation: Distributed Circuit Cutting for Hybrid Quantum-HPC Systems

Títol de la revista

ISSN de la revista

Títol del volum

Recurs relacionat

Resum

As quantum computing advances, practical deployment of quantum algorithms remains hindered by hardware limitations such as restricted qubit counts and and limited connectivity. Circuit cutting has emerged as a promising strategy to extend quantum computations beyond these hardware constraints by decomposing large circuits into smaller subcircuits that can be executed individually and recombined through classical post-processing. This master thesis presents Qdislib, an open-source software library that integrates quantum circuit cutting with high-performance computing (HPC) infrastructure to enable scalable and hybrid quantum-classical workflows. Qdislib builds on PyCOMPSs, a task-based runtime system, to orchestrate the parallel execution of subcircuits across heterogeneous resources, including CPUs, GPUs, and quantum processors (QPUs). The library supports both wire cutting and gate cutting techniques and introduces an automated cut selection algorithm, FindCut, to optimize circuit partitioning based on user-defined constraints. Benchmarking is performed on Hardware-Efficient Ansatz (HEA) and Random Circuit (RC) workloads, evaluating execution on MareNostrum 5 and IBM Quantum Cloud. Results demonstrate strong scalability for classical simulations and hybrid execution, achieving near-linear speedups on up to 64 compute nodes and successfully integrating local and remote QPUs. Qdislib thus provides a practical and extensible framework for distributed quantum simulation, paving the way for scalable quantum computation in heterogeneous environments

Descripció

Màster Oficial de Ciència i Tecnologia Quàntiques / Quantum Science and Technology, Facultat de Física, Universitat de Barcelona. Curs: 2024-2025. Tutores: Rosa M. Badia, Alba Cervera-Lierta

Citació

Citació

TEJEDOR NINOU, Mar. Towards Scalable Quantum Simulation: Distributed Circuit Cutting for Hybrid Quantum-HPC Systems. [consulta: 3 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/222573]

Exportar metadades

JSON - METS

Compartir registre