R. S. Raigada-García

About

I am a PhD candidate at the Universitat Politècnica de Catalunya (UPC) and the Barcelona Supercomputing Center (BSC), where I am part of the Accelerators and Communications for HPC (AccelCom) group. My research focuses on the integration of 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 and an MSc in Advanced Physics, studies in Data Science, together with 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.

Research interests

  • Hybrid HPC–quantum computing
  • Quantum circuit cutting
  • Scheduling & resource management
  • Distributed quantum workloads
  • Quantum software stacks
  • Machine learning for systems

Publications

Full list on ORCID.

Preprints

  1. 2026

    Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems

    R. S. Raigada-García, J. Jorba, S. Iserte

    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.

Theses, reports & other works

  1. 2025

    Emergent Geometrodynamic Intelligence in Transformers: Lagrangian Dynamics, Gauge Symmetries, and Holographic Emergence

    R. S. Raigada García

    Universitat Oberta de Catalunya · Zenodo

  2. 2025

    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

    R. S. Raigada García

    Master's thesis, Universitat Oberta de Catalunya

  3. 2025

    Symmetries in Quantum Mechanics: from Klein-Gordon Equation to Higgs Mechanism

    R. S. Raigada García

    Zenodo (MITx 8.06x)

  4. 2024

    Optimizing Quantum Circuits for Efficient Execution on Superconducting Hardware: A Case Study of the Cuccaro Adder

    R. S. Raigada García

    Technical report, Universitat Oberta de Catalunya

Talks & Posters

Conferences, workshops and poster sessions.

    Copy this block for each talk or poster and delete the empty-state line below.
  1. 2026

    Wave-Based Dispatch for Circuit Cutting in Hybrid HPC--Quantum Systems

    Poster ACM ICS · Belfast, Ireland · July 2026

  2. Upcoming presentations will be listed here.

Research Positions

  1. 2026 – present

    PhD Candidate

    Barcelona Supercomputing Center · Universitat Politècnica de Catalunya

    AccelCom group. Runtime systems and scheduling for hybrid HPC–quantum infrastructures.

Education

  1. 2026 – present

    PhD

    Universitat Politècnica de Catalunya (UPC)

  2. 2025 – 2026

    MSc in Advanced Physics

    UNED, Madrid

  3. 2025

    Data Science

    Universitat Oberta de Catalunya (UOC)

    Thesis: Quantum Database Architecture for the Quantum Data Scientist.

  4. MSc in Computer Engineering

    Universitat Oberta de Catalunya (UOC)

Selected advanced programmes

  • MicroMasters in Statistics and Data Science — Massachusetts Institute of Technology (MITx)
  • Quantum Computing Realities — Massachusetts Institute of Technology (MIT xPRO)
  • Quantum Computer Systems Design — University of Chicago
  • Machine Learning, Mathematics and Computer Science — Stanford University

Service & Recognition

  • Reviewer — Journal of Parallel and Distributed Computing (Elsevier), 2026
  • IBM Qiskit Advocate
  • 3rd place, AWS DeepRacer National Championship, 2023
  • AWS Certified Solutions Architect – Associate

Skills

Quantum
Qiskit, circuit cutting, quantum algorithms, quantum information
HPC & Systems
Scheduling, runtime systems, distributed computing, Linux
Programming
Python, scientific computing, machine learning, deep learning
Cloud
AWS (SageMaker, Lambda, Step Functions, Braket)
Languages
Catalan & Spanish (native), English (professional)

Contact

I'm happy to talk about hybrid HPC–quantum systems, collaborations, or research stays. The easiest way to reach me is through LinkedIn.