Pedro Rivero
Global Manager, Quantum Algorithm Engineering at IBM
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolPedro Rivero is a Global Manager in Quantum Algorithm Engineering with six years of hands-on experience bridging physics and software to deliver production-ready quantum tools at IBM. He leads teams that uplift partner readiness while contributing to core open-source projects like Qiskit, where his backend and documentation work improved circuit APIs and kept widely used tutorials current. Trained as a physicist with a PhD and dual masters, he blends rigorous algorithm design, error mitigation and quantum optimization expertise with practical cloud microservices and QA engineering. Known for translating research into deployable software, he has a track record at national labs and startups building quantum random number and simulator-driven solutions for real hardware. Colleagues rely on him for strategic planning and cross-disciplinary problem solving that spans cybersecurity, data analysis and applied quantum applications.
6 years of coding experience
10 years of employment as a software developer
Elementary and High School Science & Technology, Elementary and High School Science & Technology at Colegio San Agustín – MadridDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Illinois Institute of TechnologyMaster of Science (M.Sc.) Aerospace Aeronautical and Astronautical Engineering, Master of Science (M.Sc.) Aerospace Aeronautical and Astronautical Engineering at Universidad Politécnica de Madrid
English, Spanish, French
Stackoverflow
9reputation
0reached
1answer
0questions
Github Skills (14)
circuit10
user-manual10
quantum-computing10
unit-testing10
qiskit10
python10
documentation10
test-automation10
sdk9
data-structure7
data-structures7
algorithms7
cron6
githubactions6
Programming languages (13)
Github contributions (5)
Qiskit/qiskit
Jun 2022 - Jan 2023
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Role in this project:
Back-end Developer & QA Engineer/Test Automation Engineer
Back-end Developer & QA Engineer/Test Automation EngineerContributions:84 reviews, 10 commits, 21 PRs in 7 months
Contributions summary:Pedro primarily contributed to the core functionality of the Qiskit library, specifically focusing on adding and refactoring features within the `QuantumCircuit` class, such as `clear` and `copy_empty_like` functionalities. Their work involved extensive testing, including adding new tests and refactoring existing ones, as demonstrated by the changes in `test_circuit_operations.py`. They also addressed issues in the `StagedPassManager` and contributed to the `BaseResult` functionality for the primitives module.
pythonquantum-circuitsquantum-computingcircuitsquantum-circuit
Qiskit/qiskit-tutorials
Oct 2019 - Oct 2019
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Role in this project:Technical Writer
Technical WriterContributions:20 commits, 5 PRs, 5 comments in 26 days
Contributions summary:Pedro's contributions primarily involved updating and refining existing documentation within the Qiskit-tutorials repository. Their work focused on improving clarity and accuracy by removing outdated references to specific hardware, such as `ibmqx4`, and consistently incorporating `output='mpl'` to circuit drawing functions. Furthermore, the user ensured the examples reflected current backend lists and project configurations, maintaining the currency and usability of the tutorials.
quantum-computingsdknotebooksquantum-programming-languagejupyter
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