Claudia Zendejas-Morales

Speaker at the QAMP 2025 Open House by IBM Quantum

In this talk, I presented our QAMP25 project on quantum kernels and the challenge of exponential concentration, where kernel matrices can become nearly trivial as the feature dimension (qubits) grows. I introduced our mitigation strategy based on local (patch-wise) kernels and multi-scale mixtures that combine similarities computed on subsystems with non-negative weighting to preserve informative geometry. I then walked through a reproducible benchmarking pipeline (matched preprocessing, feature maps, and SVM protocol) and shared empirical results across multiple datasets, showing consistent improvements in kernel-geometry metrics (e.g., reduced concentration signatures and higher effective rank), while downstream accuracy gains were dataset-dependent.

Instructor at the Quantum Computing Course by QuantumHub Peru

As part of the QuantumHub Peru Quantum Computing School, an international training programme aimed at building foundational and intermediate skills in quantum computing, I delivered four lectures within the Module QC301 on Quantum Protocols and Algorithms. My sessions focused on the theoretical principles and algorithmic structure of superdense coding, the Deutsch-Jozsa algorithm, and Grover's search algorithm, covering their motivation, formal description, and quantum resources. These lectures complemented the hands-on laboratory sessions and formed part of a structured, multi-week curriculum.

Speaker at the Quantum November 2025 Lecture Series by CIP & QuantumHub Peru

In the "Noviembre Cuántico", a lecture series organized by the Colegio de Ingenieros del Peru (CIP) in collaboration with QuantumHub Peru, I delivered an introductory talk on quantum computing aimed at a broad engineering audience. I presented the historical motivation and current landscape of the field, explained the key quantum resources: superposition, interference, and entanglement, and introduced qubits through the Bloch sphere and the linear-algebraic formalism used in the circuit model. I also discussed the quantum hardware/software stack, the role of quantum algorithms, and current limitations of NISQ devices, highlighting scalability constraints of classical simulation and the concept of quantum advantage.

Speaker at the Qiskit Fall Fest 2025 Argentina by FIUBA

In this talk, I introduced the role of quantum algorithms within the quantum computing stack and discussed how algorithm design differs from the classical setting due to reversibility and the use of genuinely quantum resources. Using Qiskit as the framework, I walked through representative examples, including a reversible implementation of a full adder (to illustrate classical logic on quantum circuits) and core oracle-based algorithms such as Deutsch-Jozsa and Bernstein-Vazirani, highlighting their problem statements and circuit structures. I also outlined the hybrid workflow behind variational quantum algorithms (e.g., VQE/QAOA), emphasizing the interplay between parameterized circuits and classical optimization in the NISQ era.

Speaker at the Qiskit Fall Fest 2025 Madrid (QFFMad'25) by UAM & CPrA

In this talk at the Qiskit Fall Fest 2025 Madrid (QFFMad'25), I delivered an introductory talk on Quantum Machine Learning, presenting the conceptual and mathematical foundations behind hybrid quantum–classical learning models. The talk covered the motivation for QML, the role of variational quantum circuits, data encoding strategies, and the connection between optimization in machine learning and parameterized quantum algorithms. Emphasis was placed on understanding current capabilities and limitations of QML in the NISQ era, providing attendees with a theoretical framework to contextualize practical implementations.

Invited guest on a fireside-chat interview about quantum computing, research, and community-driven learning by QFA

Invited guest on "Meet the QF Hackers & Builders", a live fireside-chat interview where I discussed my path from software engineering to physics and quantum computing, the role of mathematical depth in quantum algorithm design, and the value of online learning and community-driven work. I also presented my capstone project on a Lie-algebra-based approach to single-qubit gate synthesis (improving on the Solovay-Kitaev workflow by exploiting SU(2) geometry), and concluded with practical advice for aspiring quantum learners and Q&A with the audience.

Instructor at the Fourth School of Quantum Computing by CECAv, UNAM

During this hybrid event, I served as instructor, delivering a comprehensive introduction to quantum computing topics using Qiskit. I covered all modules daily, focusing on teaching quantum concepts through practical coding exercises. Notably, on the final day, I led the entire session, dedicated to Quantum Machine Learning. This included topics such as quantum support vector machines, variational quantum classifiers, and foundational quantum machine learning algorithms, engaging participants in hands-on programming to deepen their understanding of this emerging field.

Speaker at the Coursework Presentations from the Lie Groups with Applications course by QF Academy

This work revisits single-qubit gate synthesis by embedding the Solovay–Kitaev compiler within Lie-algebra space. Each residual unitary Δ is mapped to its generator X=log⁡Δ and cancelled with a balanced, axis-aligned commutator, eliminating the blind ε-net search of the classical algorithm. Monte Carlo simulations show that the Lie-aware compiler maintains circuit length essentially flat, at about a dozen gates, across five orders of magnitude in target precision, whereas the metric variant grows by orders of magnitude, thereby freeing T-gate budget. The advantage persists for both the Hadamard-T basis and hardware-native π/2 Pauli rotations, and it incurs only millisecond-level compile-time cost, making the method a gate-efficient and platform-portable synthesis tool.

Interviewed by IYQ 2025 to discuss my research, projects, and efforts advancing quantum computing and open-source initiatives in Mexico and Latin America

Featured by the International Year of Quantum Science and Technology 2025, this interview explores Claudia Zendejas‑Morales's journey, from discovering quantum mechanics during her physics studies to becoming a leading Qiskit Advocate, mentor, platform developer, and community builder across Latin America. Claudia discusses her efforts to translate technical content into Spanish, coordinate large-scale programs like QClass23/24 with over 1,500 participants, and overcome gender and cultural barriers in STEM. She shares how building inclusive, Spanish‑language quantum education initiatives has fostered a growing, diverse quantum community in Mexico and beyond.

Instructor at the Open Source Quantum Software Tutorials with Claudia by Quantum Formalism Academy & Zaiku Group

These tutorials are a series of monthly sessions sponsored by the Quantum Formalism Academy. These tutorials focus on foundational topics in quantum computing through hands-on programming with open-source frameworks like Qiskit and PennyLane. Covering subjects ranging from qubits and quantum gates to circuit simulation and quantum algorithms, each session combines theoretical context with live coding demonstrations. The aim is to equip the community with practical skills to explore and implement quantum software solutions.

Speaker at the series of talks "Acércate a una computadora cuántica" by Faculty of Engineering, UNAM

"Acércate a una computadora cuántica" consists of a series of in-person sessions at the Faculty of Engineering at UNAM, aimed at introducing students and visitors to the basics of quantum computing. Each session kicks off with a brief presentation, followed by a hands-on demonstration using SpinQ quantum computers that utilize nuclear magnetic resonance (NMR) technology. I lead the session by explaining the workings of these devices, which depend on radiofrequency pulses, magnetic fields, and the manipulation of phosphorus and hydrogen nuclei within a dimethylphosphite molecule. I then guide participants on how to implement a fundamental quantum protocol, namely superdense coding, directly on the hardware.

Speaker at the 1er Congreso Nacional de Ciencia de Datos "Datalitica" 2025 by UDLAP

In this talk, I introduced foundational principles of quantum computing and how they intersect with machine learning. I explained superposition, entanglement, and quantum gates, and their role in constructing quantum circuits for complex computations. The presentation covered supervised learning basics and classical ML optimization, transitioning to quantum approaches like variational quantum algorithms. I discussed current frameworks, hardware accessibility, and realistic expectations for QML today, highlighting its potential and the importance of ongoing research in this emerging field.

Invited guest on the podcast "COSAS DE SAPIENS: de las cavernas a las estrellas", where I discussed quantum computing in the context of Google's launch of the Willow chip

Topics covered an introduction to quantum computing and its significance, an analysis of Google's potential leadership in the quantum race and the global response, and a discussion on how quantum advancements relate to the future of Moore's law and technological limitations. Additionally, I highlighted my award-winning paper, "Forcing Pathways: Quantum Computing Initiatives in Mexico", which earned "Best Paper" at the Quantum Science and Engineering Education Conference (QSEEC24), part of IEEE's International Conference on Quantum Computing and Engineering (QCE24). The discussion emphasized Mexico's advancements and educational initiatives in quantum computing.

Speaker at the Qiskit Fall Fest Madrid 2024 by MSMK University & Gatos Cuánticos

This talk explored the principles and challenges of simulating quantum circuits on classical hardware, emphasizing the use of linear algebra to model quantum states and operations. It addressed the limitations of quantum hardware, such as noise, decoherence, and accessibility, highlighting the importance of simulation in validating and developing quantum algorithms. The presentation also included practical demonstrations with leading quantum computing frameworks, showcasing how to simulate quantum circuits effectively and discussing their potential applications in fields like cryptography, optimization, and machine learning.

Speaker at the Qiskit Fall Fest CDMX 2024 by CIC, IPN

This talk explored the intersection of quantum computing and mathematical optimization, focusing on the application of variational quantum algorithms (VQAs) such as the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA). The discussion covered foundational optimization concepts, the computational challenges faced by classical methods, and how quantum computing leverages phenomena like superposition, entanglement, and tunneling to enhance optimization tasks. It also delved into the hybrid classical-quantum nature of VQAs, explaining their iterative parameter tuning process, and highlighted their potential applications in fields like chemistry, materials science, and combinatorial optimization. The presentation concluded with practical examples implemented using quantum frameworks.

Invited guest on the radio program "Ingeniería en Marcha", where I discussed the recognition we received for the "Best Paper" award at the QSEEC24

Discussed the recognition we received for the "Best Paper" award at the Quantum Science and Engineering Education Conference (QSEEC24), part of IEEE's International Conference on Quantum Computing and Engineering (QCE24). The interview covered key insights from the paper titled "Forcing Pathways: Quantum Computing Initiatives in Mexico", highlighting the advancements and educational efforts in the field of quantum computing within the country. We also covered the definition of quantum computing and its importance.

Speaker at the 12° Simposio de Ingeniería by UACM

This talk provided an exploration of the foundational principles of quantum computing, emphasizing the unique characteristics of qubits such as superposition, entanglement, and interference. It traced the evolution of quantum computing from its theoretical inception to modern practical implementations by leading companies like IBM and Google. The discussion highlighted current challenges in quantum hardware, such as decoherence and scalability, while underscoring the potential applications of quantum computing in fields like cryptography, optimization, material science, and machine learning. Practical demonstrations using Qiskit, showcased how quantum circuits are simulated.

Speaker at the QClass24/25 by QWorld

This talk provided a foundational review for participants entering quantum computing studies, covering key mathematical concepts such as trigonometry, complex numbers, vectors, matrices, and their operations, all crucial for quantum computation. It also introduced Dirac notation and Hilbert spaces as mathematical frameworks for quantum mechanics, highlighting their relevance in quantum computing. Additionally, the talk explained the postulates of quantum mechanics, including state representation, system evolution through quantum gates, probabilistic measurements, and the composition of quantum systems using tensor products. Practical examples were demonstrated using Python, showcasing its application for mathematical computations and quantum programming.

Organizer and Instructor at the Third School of Quantum Computing by CECAv, UNAM

During this hybrid event, I served as both an organizer and an instructor, delivering a comprehensive introduction to quantum computing topics using Qiskit. I covered all modules daily, focusing on teaching quantum concepts through practical coding exercises. Notably, on the final day, I led the entire session, dedicated to Quantum Machine Learning. This included topics such as quantum support vector machines, variational quantum classifiers, and foundational quantum machine learning algorithms, engaging participants in hands-on programming to deepen their understanding of this emerging field.

Speaker at the III Mini Workshop on High Performance Computing in Science and Engineering by ICF, UNAM

In this talk, I provided an in-depth exploration of quantum computing, starting with its foundational principles such as qubits, superposition, entanglement, and quantum gates, as well as their role in constructing quantum circuits. I then discussed the intersection of quantum computing and machine learning, delving into the concepts and potential of Quantum Machine Learning (QML). The presentation emphasized the hybrid quantum-classical nature of variational algorithms and included illustrative examples and demonstrations using Qiskit to clarify the theoretical concepts and their potential implementations.

Speaker at Semana de Ingeniería Eléctrica XXV Aniversario by UAM

In this talk, I introduced the foundational principles of quantum computing, including the concepts of qubits, superposition, entanglement, and quantum gates. The presentation covered the historical development of quantum computing, potential applications in fields such as cryptography, optimization, and material discovery, and explored the challenges faced by current quantum hardware. I also highlighted the role of classical simulations in quantum algorithm development and provided illustrative examples using quantum programming frameworks like Qiskit.

Speaker at the Quantum Days 2024 by SQC

In this talk, I explored the fundamentals of quantum computing and discussed why simulating quantum circuits on classical hardware is essential in current quantum research. I explained the mathematical models behind these simulations, such as representing quantum states as vectors and gates as matrices, and addressed scalability challenges in classical simulation. Additionally, I demonstrated practical examples using quantum frameworks to highlight how simulations help develop and test quantum algorithms before implementation on quantum hardware.

Instructor at Womanium Quantum + AI 2024 by WQ through QWorld

I provided an overview of foundational concepts in quantum computing, as outlined in QWorld's Bronze tutorial. The session covered topics ranging from classical probabilistic systems to quantum states, operators, and entanglement. I guided participants through practical implementations using Qiskit, demonstrating how to create quantum circuits and run simulations. The presentation emphasized hands-on learning with Jupyter notebooks, helping attendees understand key quantum computing principles, such as superposition, measurement, and the teleportation protocol, while highlighting how these interactive resources can deepen their understanding and programming skills.

Speaker at Quantum Abya Yala 2024 by Quaixar & UDLA

In this talk, I introduced the fundamentals of Quantum Machine Learning (QML) and demonstrated the implementation of a variational quantum classifier using PennyLane. The session covered key concepts, including the integration of quantum and classical computing to optimize machine learning models. I also explained how variational algorithms iteratively adjust parameters to minimize a cost function, offering practical insights into creating hybrid quantum-classical models suitable for current noisy quantum hardware. The presentation included hands-on coding examples to solidify understanding and inspire exploration of this emerging field.

Speaker at World Quantum Day 2024 by QuantumQuipu

In this talk, I introduced participants to the fundamentals of quantum hardware and explored how to program and execute quantum circuits on actual quantum computers via the cloud. The presentation covered the principles of quantum mechanics underpinning quantum computing and the variety of technologies used to implement qubits. I provided an overview of key frameworks like Qiskit and Cirq and demonstrated how to write and execute a quantum program using IBM Quantum's cloud platform. Attendees gained practical insights into leveraging quantum computing for real-world experimentation and problem-solving.

Speaker at the Colloquium: Opportunities in Quantum Computing 2024 by CIC, IPN

In this talk, I discussed QWorld's mission to create a global, collaborative ecosystem for quantum technologies through education, research, and outreach. I explored QWorld's initiatives, such as workshops, QCourses, internships, and webinars, highlighting their role in fostering knowledge sharing, skill development, and accessibility in quantum computing. I also emphasized the importance of QCousins, local chapters working internationally to popularize quantum technologies, and the significance of free and open resources like the QWorld tutorials. This talk aimed to inspire participation in QWorld's inclusive and impactful quantum computing community.

Panelist at the Quantum Days 2024 by SQC

Speaker at the QClass23/24 by QWorld

Organizer and Speaker at QJam2024 "Making Quantum Games" by QWorld

Panelist at the Qiskit Fall Fest en Español 2023 by Various organizations

Speaker at the Qiskit Fall Fest en Español 2023 by Various organizations

Panelist at the Oktoberphysifest 2023 by UG

Speaker at the QClass23/24 by QWorld

Instructor at the Second School of Quantum Computing by CECAv, UNAM

Instructor at Womanium Quantum 2023 by WQ through QWorld

Speaker at QWorld Quantum Science Days 2023 by QWorld

Instructor at the QWorld NYUAD Hackathon QC Certification Course 2023 by NYUAD through QWorld of the QSilver Workshop

Panelist at the Quantum Days 2023 by SQC

Panelist at the Qiskit Fall Fest Mexico 2022 by CIC, IPN

Speaker at the Qiskit Fall Fest Mexico 2022 by CIC, IPN

Instructor at the Qiskit Fall Fest Peru 2022 by UNMSM

Panelist at the Qiskit Fall Fest Mexico 2022 by CIC, IPN

Speaker at the Qiskit Fall Fest Peru 2022 by UNMSM

Speaker at the Qiskit Fall Fest Mexico 2021 by CIC, IPN

Coordinator and Instructor at the Qiskit Workshop 2021 by QMexico

Mentor & Speaker at the Quantum Summer School 2021 by QWorld of the Spanish tutorial sessions

Speaker at the PIQUE: One-Year Anniversary Celebration by PIQUE

Speaker at the 11th Congress of the Laboratories of Contemporary Physics

This talk focused on the experimental process and analysis of obtaining the emission spectra of hydrogen, helium, mercury, and sodium using a CMOS sensor as a spectroscopic tool. The presentation covered foundational topics such as the nature of emission spectra, the role of diffraction gratings, and the Rydberg formula. It detailed the experimental setup, including exposure adjustments for the CMOS sensor, the methodology for capturing and analyzing spectral lines, and comparison with theoretical values to calculate errors and evaluate the sensor's performance. Concluding remarks addressed the potential of CMOS sensors for spectroscopy, highlighting their utility despite certain limitations, and proposing improvements for future experiments.

Research project developed within the Qiskit Advocate Mentorship Program 2025 exploring the concentration phenomenon in quantum kernel methods for machine learning. I implemented and benchmarked local and multi-scale feature map constructions designed to reduce exponential concentration effects as the Hilbert space dimension grows. The project involved problem formulation and analysis, circuit design, numerical simulations, and systematic empirical evaluation across varying qubit counts and dataset configurations. Results demonstrated improved kernel expressivity while maintaining computational feasibility, and culminated in an arXiv preprint and a technical presentation of the findings.

Educational quantum game developed for the QPoland Global Quantum Hackathon 2025, awarded Second Place. The project presents quantum state tomography through a narrative-driven game set in a sci-fi detective universe. Players reconstruct single-qubit quantum states by performing measurements in different bases (X, Y, Z) under realistic constraints such as limited shots and state collapse, introducing concepts like Bloch sphere representation, state fidelity, and SIC-POVMs. The game blends storytelling with core ideas from quantum information to promote intuitive understanding of measurement, noise, and reconstruction in quantum systems.

Building upon the success of the "Federated qGAN" project, which won second place in the Quantum Games Hackathon organized by Zaiku Group Ltd, "QuantumGeneGen" aims to further develop and refine the quantum machine learning model initially created. This project focuses on enhancing the original quantum Generative Adversarial Network (qGAN) approach to generate synthetic genomic data, exploring new techniques and improvements to optimize performance and security.

In collaboration with QubitHub and QuantumQuipu, this project aimed to create an extensive set of educational infographics on various aspects of quantum computing as part of the Outreach Program called Yachaywasi ("house of knowledge" in Quechua). The infographics were produced in Spanish, English, and Portuguese to enhance accessibility for a diverse audience. I contributed by designing multiple infographics and their corresponding translations into all three languages, covering fundamental and advanced topics in quantum computing.

Successfully developed and won the Quantum Games track at the QPoland Global Quantum Hackathon 2024, organized by QPoland and the Quantum AI Foundation. "Interference Quest" is an educational quantum-inspired game that introduces players to the concept of quantum interference through an engaging storyline. In this game, players assist a nanobot in restoring a mysteriously miniaturized tardigrade to its original size, navigating challenges based on principles of constructive and destructive interference.
The project provides an accessible way to explore quantum principles visually and practically, combining scientific accuracy with engaging gameplay mechanics.

Mentor in a project on quantum machine learning that aimed to closely replicate the classical Rosenblatt perceptron on a quantum computer. The project involved following the original procedure proposed by Tacchino et al., 2019, to generate multipartite entangled states based on quantum information principles.
Successfully demonstrated that the quantum perceptron model can classify simple patterns; encoded m-dimensional input vectors and weight vectors using quantum circuits; conducted experimental evaluations using both a quantum simulator and an IBM quantum processor to validate the effectiveness of the approach.

Participated in a hackathon organized by Zaiku Group Ltd as a key contributor to the "Federated qGAN" project as part of the dotQ team. This project involved developing a hybrid quantum-classical model using Quantum Generative Adversarial Networks (qGANs) integrated with Federated Learning to generate synthetic DNA sequences, specifically Homo sapiens promoter sequences, while preserving data privacy. The project aimed to demonstrate the feasibility of using quantum computing for data generation in genomics.
Successfully implemented a quantum-classical hybrid model using NISQ devices to demonstrate the practicality of Federated Quantum Learning in generating synthetic data. Demonstrated the effectiveness of our solution through simulations and real quantum hardware experiments, addressing challenges in synthetic bioengineering. The project achieved second place in the hackathon, highlighting its innovative approach to applying quantum computing to genomics.

Developed during an internship at the Perimeter Institute's PSI Start Program; this project focused on applying advanced machine learning techniques to solve inverse problems in physics. The project used Twin Neural Network Regression (TNNR), a novel approach for addressing regression tasks involving non-bijective functions commonly found in physics. The goal was to enhance the application of TNNR methods to inverse problems combined with KNN where the function is unknown and its inverse is ill-posed.
Successfully developed and implemented machine learning models that combine TNNR with nearest neighbor algorithms, achieving improved performance in solving inverse problems. Contributed to a final poster presentation summarizing the project's findings and potential future applications.

Created QBook101, an online book designed as part of QWorld's educational resources. The book consolidates and enhances QWorld's Bronze, Nickel, and Silver tutorials, created initially for quantum computing workshops, into a single accessible resource. These tutorials cover a wide range of topics, from the basics of quantum systems and Grover's algorithm to intermediate quantum algorithms like Deutsch-Jozsa, Bernstein-Vazirani, and Shor's algorithms.
Developed Chapter 1 from scratch and restructured Chapters 2-5, modifying all notebooks to enable seamless execution via Google Colab. Prior to QBook101, the tutorials required local installations, often causing technical difficulties for students. By adapting the notebooks for Google Colab, I eliminated these barriers, allowing students to execute the material directly online. QBook101 debuted successfully as the core learning material for QClass23/24, which I coordinated.

Developed "Quantum Rescue", a puzzle/adventure video game as the final project for the Quantum Games 2022 course by Aalto University (A!). This game combines elements of quantum mechanics and adventure gameplay, requiring players to solve quantum circuit puzzles to progress. The storyline follows Ada, a determined heroine on a quest to rescue her pet unicorn, Bell, from the villain Alby. To reach Alby's mansion, Ada must unlock various doors that block her path, each requiring a specific key obtained by solving quantum circuit puzzles. Quantum gates, essential for solving these puzzles, are scattered throughout the map, some visible and others hidden. Players navigate the game by collecting these gates, interacting with characters for clues, and exploring new sections of the map unlocked by successfully solving puzzles.
Successfully completed a complex, multi-level game that challenges players' problem-solving skills while educating them on quantum circuits principles.

Developed a quantum-themed game as part of the Quantum Games 2022 course offered by Aalto University (A!). The game, titled "Photoncito", challenges players to prevent a photon from fading as it interacts with various crystals that partially transmit or reflect the photon. Players must strategically use revitalizing agents to maintain the photon's energy and advance through levels, with the ultimate goal of completing all 10 levels to win the game.
Successfully completed the game and make it available for play, showcasing the application of quantum principles –such as photon behavior and polarization– in a fun and interactive format.

Developed a solution for the Max-k-cut problem as part of the QIntern2021 program by QWorld, implementing the solution using Qiskit. This project aimed to extend the capabilities of the Qiskit Optimization module by adding functionality similar to the existing Maxcut application. Designed and implemented an algorithm that efficiently solves the Max-k-cut problem, analyzing existing solutions and optimizing them for quantum computation. The project involved detailed research and development, including analyzing solutions from the Qiskit-optimization project.
Successfully implemented an effective and space-efficient quantum algorithm for the Max-k-cut problem using Qiskit. The project achieved third place for best project in the program, recognizing its innovative approach and technical execution.

Developed "TetromiQ", a quantum-enhanced version of the classic Tetris game, as part of the Quantum Games Hackathon 2021 organized by the Quantum AI Foundation and QPoland. "TetromiQ" extends the traditional Tetris mechanics by introducing quantum concepts, such as superposition, where game pieces can exist in multiple states simultaneously. This adds a strategic layer to the gameplay, challenging players to utilize quantum mechanics to maximize their scores.
Successfully created a game that introduces players to quantum mechanics principles in a fun and accessible way, particularly the concept of superposition, allowing blocks to split into multiple states that can collapse based on probabilistic outcomes.

Developed a package for visualizing tensor diagrams using Penrose graphical notation with D3.js, aimed at applications in quantum computing, deep learning, machine learning, quantum information, and other array operations. This project provides an intuitive tool for representing complex tensor operations and networks, enhancing the understanding and communication of these concepts in research and education.
Successfully developed a user-friendly interface for creating and manipulating tensor diagrams in a web browser, facilitating understanding of tensor operations and their applications in different fields, including quantum computing and machine learning.

As part of the Quantum Computing Mentorship Program (Cohort Two) by QOSF, this project focused on integrating the PyZX package into the Tequila platform, enhancing its quantum computing research and education capabilities. The project involved implementing support for ZX-calculus within Tequila, a robust framework for quantum algorithms. Additionally, I developed basic import/export functionality for OpenQASM code and created comprehensive tutorials to guide users on utilizing ZX-calculus and OpenQASM within the platform.
The project contributed to a publication in the journal Quantum Science and Technology by IOPScience, in which Tequila is described.

Designed and developed a can-sized satellite for the CanSat 2019 Competition organized by the American Astronautical Society (AAS). The project involved the integration of various subsystems, including telemetry, power management, and communication systems, into a compact and efficient design.
Successfully built a functional prototype that was launched during the international competition.

Designed and developed a can-sized satellite for the CanSat Competition organized by the University Space Program (PEU) at UNAM. The project involved the integration of various subsystems, including telemetry, power management, and communication systems, into a compact and efficient design.
Successfully built a functional prototype that won first place in the national competition.