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

Website · ORCID · arXiv · GitHub · LinkedIn

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, 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.

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

• Quantum work under HPC resource management (public: preprint and ICS 2026 poster). Runtimes that turn quantum work into units a centre's resource manager can queue, route and recover.
• Adaptive resources for quantum workloads (ongoing). How large quantum simulations and hybrid campaigns adapt to the allocation available while they run.
• Data movement in distributed quantum simulation (ongoing). Which decisions taken before a run determine communication cost.
• The integration layer of quantum-centric supercomputing (doctoral thesis, in progress).

Interactive research map.

Full list on ORCID. This section is generated from arXiv by scripts/build.py.

• 2026 — Communication-Aware Qubit Placement and Automatic Node-Count Allocation for Distributed State-Vector Simulation
  Íñigo Aréjula-Aísa, Sergio Iserte, Petter Sandås, Ricard S. Raigada-García, Antonio J. Peña
  arXiv:2610.09659 [cs.DC]
  arXiv · PDF

• 2026 — Wave-Based Dispatch for Circuit Cutting in Hybrid HPC–Quantum Systems
  Ricard S. García-Raigada, Josep Jorba, Sergio Iserte
  arXiv:2604.15279 [cs.DC]
  arXiv · PDF · Interactive explainer

• 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

Conferences, workshops and poster sessions.

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

• 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

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

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}