I am a PhD candidate at the Universitat Politècnica de Catalunya (UPC) and work in the Accelerators and Communications for HPC (AccelCom) group of the Barcelona Supercomputing Center (BSC). My research is about integrating quantum processors into high-performance computing: how to schedule, distribute and orchestrate quantum workloads alongside classical resources in a supercomputing centre.
My background combines physics and computer engineering: an MSc in Computer Engineering, studies in Advanced Physics and Data Science, and the MIT MicroMasters in Statistics and Data Science. Before the PhD I worked as a data scientist and machine learning engineer on cloud-native (AWS) systems.
Publications list me as Ricard S. Raigada-García or R. S. Raigada García.
What I am working on now. Published work links to its paper; ongoing work is described by the question it addresses. The research map shows how these lines connect.
Public Preprint and ACM ICS 2026 poster
Quantum jobs usually bypass the scheduler that runs the rest of a supercomputer. I build runtimes that turn quantum work into units the centre’s resource manager can queue, route and recover, across local QPUs, remote QPUs and classical simulators.
Ongoing Manuscripts in preparation
Large quantum simulations and long hybrid quantum–classical campaigns need different resources at different moments, and a shared machine changes what it can offer over time. This line studies how such workloads can adapt to the allocation available while they run, and survive interruptions.
Ongoing
When a quantum state is spread across many nodes, communication between them often dominates the runtime. I study which decisions taken before a run determine that cost, and how a system can make them automatically.
Doctoral thesis In progress
Coupling quantum processors to a supercomputer raises a systems question: where should coordination between classical and quantum resources live, and what should it cost? My doctoral thesis addresses this layer.
Updated automatically from arXiv. Full list on ORCID · all as BibTeX.
arXiv:2610.09659 [cs.DC]
A communication-aware qubit-layout framework that reduces inter-node data exchange while selecting the number of computational nodes automatically. Integrated into QuCSLO, it supports dynamic node scaling, OpenQASM parsing and QuEST; evaluations on synthetic and QASMBench circuits show fewer communication cuts and runtime speedups above 2× over identity layouts, particularly for highly entangled circuits.
arXiv: Communication-Aware Qubit Placement and Automatic Node-Count Allocation for Distributed State-Vector Simulation PDF: Communication-Aware Qubit Placement and Automatic Node-Count Allocation for Distributed State-Vector Simulation
@misc{arejulaaisa2026communication,
title = {{Communication-Aware Qubit Placement and Automatic Node-Count Allocation for Distributed State-Vector Simulation}},
author = {Aréjula-Aísa, Íñigo and Iserte, Sergio and Sandås, Petter and Raigada-García, Ricard S. and Peña, Antonio J.},
year = {2026},
eprint = {2610.09659},
archivePrefix = {arXiv},
primaryClass = {cs.DC},
url = {https://arxiv.org/abs/2610.09659}
}
Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems
arXiv:2604.15279 [cs.DC]
DQR (Dynamic Queue Router), a runtime that treats circuit-cutting fragments as schedulable units, so HPC centres can apply standard resource management to NISQ workloads. Evaluated on the CESGA Qmio supercomputer with its local QPU and the remote IBM Torino backend, with per-fragment failover to classical simulators.
arXiv: Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems PDF: Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems Interactive explainer: Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems
@misc{raigadagarcia2026wave,
title = {{Wave-Based Dispatch for Circuit Cutting in Hybrid HPC--Quantum Systems}},
author = {Raigada-García, Ricard S. and Jorba, Josep and Iserte, Sergio},
year = {2026},
eprint = {2604.15279},
archivePrefix = {arXiv},
primaryClass = {cs.DC},
url = {https://arxiv.org/abs/2604.15279}
}
Emergent Geometrodynamic Intelligence in Transformers: Lagrangian Dynamics, Gauge Symmetries, and Holographic Emergence
Universitat Oberta de Catalunya · Zenodo
@misc{raigadagarcia2025emergent,
title = {{Emergent Geometrodynamic Intelligence in Transformers: Lagrangian Dynamics, Gauge Symmetries, and Holographic Emergence}},
author = {Raigada-García, Ricard S.},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.15772617},
url = {https://doi.org/10.5281/zenodo.15772617}
}
Quantum Database Architecture for the Quantum Data Scientist: A Theoretical Treatise on Lindblad Operators, EIT in Multi-Level Atomic Ensembles, and High-Fidelity Data Encoding
Master's thesis, Universitat Oberta de Catalunya
DOI: Quantum Database Architecture for the Quantum Data Scientist: A Theoretical Treatise on Lindblad Operators, EIT in Multi-Level Atomic Ensembles, and High-Fidelity Data Encoding UOC repository: Quantum Database Architecture for the Quantum Data Scientist: A Theoretical Treatise on Lindblad Operators, EIT in Multi-Level Atomic Ensembles, and High-Fidelity Data Encoding Code: Quantum Database Architecture for the Quantum Data Scientist: A Theoretical Treatise on Lindblad Operators, EIT in Multi-Level Atomic Ensembles, and High-Fidelity Data Encoding
@mastersthesis{raigadagarcia2025quantum,
title = {{Quantum Database Architecture for the Quantum Data Scientist: A Theoretical Treatise on Lindblad Operators, EIT in Multi-Level Atomic Ensembles, and High-Fidelity Data Encoding}},
author = {Raigada-García, Ricard S.},
year = {2025},
school = {Universitat Oberta de Catalunya},
doi = {10.5281/zenodo.14810946},
url = {https://doi.org/10.5281/zenodo.14810946}
}
Symmetries in Quantum Mechanics: from Klein-Gordon Equation to Higgs Mechanism
Zenodo (MITx 8.06x)
DOI: Symmetries in Quantum Mechanics: from Klein-Gordon Equation to Higgs Mechanism
@misc{raigadagarcia2025symmetries,
title = {{Symmetries in Quantum Mechanics: from Klein-Gordon Equation to Higgs Mechanism}},
author = {Raigada-García, Ricard S.},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.14774610},
url = {https://doi.org/10.5281/zenodo.14774610}
}
Optimizing Quantum Circuits for Efficient Execution on Superconducting Hardware: A Case Study of the Cuccaro Adder
Technical report, Universitat Oberta de Catalunya
DOI: Optimizing Quantum Circuits for Efficient Execution on Superconducting Hardware: A Case Study of the Cuccaro Adder UOC repository: Optimizing Quantum Circuits for Efficient Execution on Superconducting Hardware: A Case Study of the Cuccaro Adder
@techreport{raigadagarcia2024optimizing,
title = {{Optimizing Quantum Circuits for Efficient Execution on Superconducting Hardware: A Case Study of the Cuccaro Adder}},
author = {Raigada-García, Ricard S.},
year = {2024},
institution = {Universitat Oberta de Catalunya},
doi = {10.13140/RG.2.2.24291.77608},
url = {https://doi.org/10.13140/RG.2.2.24291.77608}
}
Conferences, workshops and poster sessions.
Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems
Poster ACM International Conference on Supercomputing (ICS) · Belfast, UK · July 2026
The poster presents DQR (Dynamic Queue Router), a runtime that treats circuit-cutting fragments as schedulable units. A large circuit is cut into fragments; DQR dispatches them in waves through the Slurm resource manager to a local QPU (Qmio, CESGA), a remote QPU (IBM Torino) or a classical simulator (Qulacs), and retries a failed fragment on the CPU without restarting the pipeline.
Contributions: a backend-agnostic fragment descriptor; wave-based dispatch with pipeline concurrency, per-fragment retry and QPU-to-CPU failover; and a production implementation on CESGA Qmio, alone and combined with IBM Torino, with two and four cuts. Experiments on a 32-qubit hardware-efficient ansatz improve makespan over a monolithic CPU baseline.
PhD Candidate, Computer Architecture doctoral programme
Universitat Politècnica de Catalunya · AccelCom group, Barcelona Supercomputing Center
Runtime systems and scheduling for hybrid HPC–quantum infrastructures.
Advisors: Antonio J. Peña (thesis director) and Sergio Iserte.
PhD in Computer Architecture
Universitat Politècnica de Catalunya (UPC)
MSc in Advanced Physics
UNED, Madrid
Data Science
Universitat Oberta de Catalunya (UOC)
Thesis: Quantum Database Architecture for the Quantum Data Scientist.
MSc in Computer Engineering
Universitat Oberta de Catalunya (UOC)
Thesis: Wave-Based Resource Management for Circuit Cutting in HPC–Quantum Convergence.
I'm happy to talk about hybrid HPC–quantum systems, collaborations, internships or research stays. The easiest way to reach me is through LinkedIn.
Web: raigada-garcia.dev · ORCID: 0009-0009-9684-4745 · GitHub: github.com/ToroData