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Quantum algorithms, tensor networks, and scientific software

Researcher, developer, and science communicator building tools, papers, demos, and teaching material around computational physics, optimization, and quantum computing.

Quantum Coordinator at ITCL in Burgos, Spain

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This profile is the public map of my work. It brings together research repositories, reusable scientific software, classroom material, and smaller experiments that sometimes grow into larger tools.

I work mostly where tensor networks, quantum algorithms, numerical methods, and practical scientific Python meet. I like projects that make advanced ideas easier to run, inspect, visualize, and explain.

These repositories were missing from the earlier profile map and now help complete the picture:

• Tensor-Network-Image-Analysis-Template - open-source template for tensor-network deep learning with PyTorch, TensorKrowch, typed configs, and local or SLURM workflows
• vibe_template - reusable Python template with CLI support and strong quality defaults for software-oriented projects
• Ajustador - earlier fitting software that also serves as historical background for later tools such as RegressionLab
• mbqc-tn - compact exploratory work around MBQC and tensor-network ideas
• sunny-places and TransTools - smaller public side projects and support utilities that now appear in the profile map

These repositories connect directly to papers, experiments, and algorithmic ideas I have worked on:

• TSP with Tensor Networks - quantum-inspired Traveling Salesman Problem solver. Paper
• HHL with Tensor Networks - classical simulation of the HHL algorithm. Paper
• Linear Chain QUBO and QUDO - polynomial-time solver for tridiagonal QUBO, QUDO, and Tensor QUDO. Paper
• Efficient Tensor Network Initialization - finite initialization with partial norms for tensor neural networks. Paper
• Task Scheduler with Tensor Networks - scheduling optimization through tensor network methods. Paper
• HoLCUs + QAOA - HoLCUs experiments connected to QAOA. Paper
• Hotels-TSP-Tensor-QUDO - travel-search-style TSP explored through QAOA, QUBO, and Tensor QUDO formulations

I also use GitHub as a place for teaching material, public demos, and more approachable explanations:

• Curso_Algoritmos_Cuanticos_Qiskit - quantum algorithms course with practical Qiskit notebooks
• QAOA_Foro_Nuevos_Paradigmas - workshop-style QAOA implementation prepared for a public session
• Mini-Qiskit_with_Tensor_Networks - educational mini-Qiskit built with tensor networks
• Shor-Algorithm - educational implementation and review material around Shor's algorithm
• IBM-Qiskit-Fall-Fest-Quantum-Challenge - notebooks and submission for the IBM Qiskit Fall Fest Quantum Challenge

I also run When Physics, where I share physics and quantum computing with a broader audience.

Right now I am especially focused on:

• making tensor-network tooling more visual, inspectable, and code-friendly
• turning research prototypes into reusable scientific Python packages
• building learning material that connects quantum algorithms with runnable code

If you want the full public catalog, here is the repository map grouped by intent.

Turning ideas into tensor networks, scientific software, and explanations people can use.