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ToroData/README.md

Portrait of Ricard Santiago Raigada García

Ricard Santiago Raigada García

PhD Candidate
Universitat Politècnica de Catalunya (UPC)
Barcelona Supercomputing Center (BSC)
Accelerators & Communications for HPC (AccelCom)
Barcelona, Spain

Website · ORCID · arXiv · GitHub · LinkedIn


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

  • 2026 — Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems
    R. S. García-Raigada, 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.
    arXiv · PDF

Theses, reports & other works

  • 2025 — Emergent Geometrodynamic Intelligence in Transformers: Lagrangian Dynamics, Gauge Symmetries, and Holographic Emergence
    R. S. Raigada García
    Universitat Oberta de Catalunya · Zenodo
    DOI

  • 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
    DOI · UOC repository · Code

  • 2025 — Symmetries in Quantum Mechanics: from Klein-Gordon Equation to Higgs Mechanism
    R. S. Raigada García
    Zenodo (MITx 8.06x)
    DOI

  • 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
    DOI · UOC repository

Talks & Posters

Conferences, workshops and poster sessions.

  • 2026 — Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems
    Poster ACM ICS · Belfast, Ireland · July 2026

Research Positions

When Position
2026 – present PhD Candidate — Barcelona Supercomputing Center · Universitat Politècnica de Catalunya
AccelCom group. Runtime systems and scheduling for hybrid HPC–quantum infrastructures.

Education

When Degree
2026 – present PhD — Universitat Politècnica de Catalunya (UPC)
2025 – 2026 MSc in Advanced Physics — UNED, Madrid
2025 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)

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.


© 2026 Ricard Santiago Raigada García · Last updated October 2026

Pinned Loading

  1. Dynamic-Queue-Router Dynamic-Queue-Router Public

    Dynamic Queue Router (DQR): wave-based orchestration framework for scheduling cut quantum circuit fragments across heterogeneous HPC–QC backends.

    C 1

  2. Machine-Learning-Engineer Machine-Learning-Engineer Public

    This repository contains several Machine Learning and Deep Learning projects, including neural network training, image classification using AWS SageMaker, and an ML workflow based on Step Functions…

    Jupyter Notebook

  3. Quantum-Database-Architecture-for-the-Quantum-Data-Scientist-Thesis Quantum-Database-Architecture-for-the-Quantum-Data-Scientist-Thesis Public

    This repository hosts all the projects developed within the framework of the Bachelor thesis in order to create a Quantum Database Architecture.

    Python

  4. ML-AWS ML-AWS Public

    Repository created to share AWS Machine Learning services initiation tutorials.

    Python

  5. Tech-Insights-AI-Machine-Learning-Quantum-Computing-More Tech-Insights-AI-Machine-Learning-Quantum-Computing-More Public

    This repository is dedicated to aggregating and sharing insightful posts on advanced and emerging technologies.

  6. asus-rog-keyboard-backlight-control asus-rog-keyboard-backlight-control Public

    Scripts and configurations to control the keyboard backlight on ASUS ROG Strix with Arch Linux

    Shell 1