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Report abuseQuantum algorithms, tensor networks, optimization, and computational physics turned into reusable tools, reproducible workflows, and explanations that people can actually use.
Quantum Coordinator at ITCL · Burgos, Spain
Overview | Flagship Projects | Research Compass | Research & Papers | Teaching & Outreach | Project Atlas | Stack
This profile is the public landing page for my work across research, scientific software, teaching, and outreach. If you arrive here through a paper, a repository, a class, or a talk, this README is meant to help you find the right entry point quickly.
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Research Quantum algorithms, tensor networks, optimization methods, and computational physics connected to papers, experiments, and reproducible workflows. |
Scientific Software Python libraries, visual tooling, GUIs, and reusable templates that make advanced workflows easier to inspect, test, and reuse. |
Teaching & Outreach Courses, notebooks, demos, and public communication designed to make advanced topics clearer without flattening their depth. |
Open the full repository atlas
These are the repositories that best represent the intersection of research, tooling, and usability in my work.
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2D and 3D tensor network visualization across Torch, NumPy, Quimb, Tensorkrowch, TenPy, and TensorNetwork for analysis, debugging, and communication. Visualization Scientific Python Tensor Networks |
Interactive local editor for designing tensor networks visually and exporting readable Python code for several backends. Tensor Networks Visual Tooling Code Generation |
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Matplotlib-based library for drawing quantum circuits, plotting measurement results, and comparing outputs across different ecosystems. Quantum Circuits Python Visualization |
Curve fitting software with GUI support, multiple models, uncertainty analysis, and polished visual output for scientific and educational work. Data Analysis Curve Fitting Scientific Software |
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Numerical solver and visualizer for ODEs, difference equations, and PDEs through an accessible Python desktop interface. ODEs Simulation Scientific Software |
Quantum-inspired TSP solver built as a research-driven exploration of tensor networks, optimization, and scientific communication. Research Optimization Tensor Networks |
flowchart TD
A["Start here"] --> B["Research & papers"]
A --> C["Scientific software"]
A --> D["Teaching & outreach"]
A --> E["Full repository atlas"]
B --> B1["Algorithms, tensor networks, optimization"]
C --> C1["Libraries, GUIs, visual tools"]
D --> D1["Courses, notebooks, public communication"]
E --> E1["Browse the complete repository map"]
style A fill:#4c1d95,color:#ffffff,stroke:#c4b5fd,stroke-width:2px
style B fill:#5b21b6,color:#ffffff,stroke:#ddd6fe
style C fill:#6d28d9,color:#ffffff,stroke:#ddd6fe
style D fill:#7c3aed,color:#ffffff,stroke:#ddd6fe
style E fill:#8b5cf6,color:#ffffff,stroke:#ede9fe
These repositories connect directly to papers, experiments, and algorithmic work:
I use GitHub not only to publish results, but also to teach and communicate ideas more openly:
I also run When Physics, a channel where I share physics and quantum computing with a broader audience.
Right now I am especially focused on:
If you want the broader catalog, here is the repository map grouped by intent.
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Read papers Tensor-network algorithms, optimization, HHL, QAOA, and related research repositories. |
Use tools Visual editors, scientific GUIs, and reusable software for research and teaching. |
Learn concepts Courses, notebooks, educational implementations, and workshop material. |
Explore side work Templates, utilities, legacy projects, and smaller applied experiments. |
From papers to packages, from notebooks to public explanations.
2D and 3D tensor network visualization, designed for torch, numpy, quimb, tensorkrowch, tenpy and tensornetwork compatibility. Explained in https://arxiv.org/abs/2606.08760
Python 1
Interactive local editor for building tensor networks visually and generating readable Python code for tensornetwork, quimb, tensorkrowch, and einsum. Explained in https://arxiv.org/abs/2606.08760
Python 2
A Matplotlib-based library for drawing quantum circuits, plotting measurement results, and comparing outputs across several quantum ecosystems with one consistent public API. Explained in https://a…
Python
🔬 Scientific curve fitting tool with GUI for experimental data analysis, perfect for physics students. 20+ predefined functions, error propagation, data analysis, and professional visualizations. M…
Python 1
DifferentialLab: numerical solver for ODEs, difference equations, and PDEs with a Python GUI. SciPy methods (RK45, Radau, BDF), vector systems, transforms (Fourier, Laplace), and CSV/PNG/MP4 export.
Python 1
Curso de algoritmos cuánticos con implementaciones prácticas en Qiskit 2.4.x, organizado por secciones y temas. Cada tema incluye teoría y código ejecutable en notebooks de Jupyter (Python).
Jupyter Notebook 5
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