Daniele Cucurachi Email and Phone Number
Hi!I am a computational physicist combining expertise in scientific software development and research with a passion for startups and entrepreneurship. My background and interests span a wide range of exciting problems ranging from machine learning to quantum computing. Currently, I am investigating quantum Physics-Informed Neural Networks (PINNs) trainability at Pasqal.On the side: • I collaborate as an AdVenture Partner with Scientifica VC, a venture capital firm specializing in deep-tech startups. I am responsible for identifying innovative technological projects within universities and research departments, fostering potential investments by Scientifica. Feel free to reach out at daniele.cucurachi@scientificavp.it to discuss interesting projects or ideas.• I am working on a commentary‑type article for UIS (United Italian Societies) Research Centre, under the supervision of Dr. Enrico Fontana, about key investment trends and recent socio-economic shifts in the evolving quantum industry, as well as the role of quantum technology in global geopolitics. (https://iiclondra.esteri.it/it/gli_eventi/calendario/osservatorio-sulle-metamorfosi-socio-tecnologiche/)• I am finalizing a research project in collaboration with the Quantum Information Group (University of Cambridge).• LeadTheFuture (LTF) Member (https://www.leadthefuture.tech/)Useful links:• My GitHub profile: https://github.com/DanieleCucurachi• My Google Scholar profile: https://scholar.google.com/citations?user=S-vav1IAAAAJ&hl=en&oi=ao• My website/portfolio: https://danielecucurachi.github.io/personal-website
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Algorithm Developer - Machine LearningPasqalAmsterdam, Nh, Nl -
Quantum Algorithm Developer - Machine LearningPasqal Oct 2024 - PresentAmsterdam, North Holland, Netherlands
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Junior Quantum Machine Learning ResearcherPasqal Apr 2024 - Oct 2024Amsterdam, North Holland, NetherlandsInvestigating quantum Physics-Informed Neural Networks (PINNs) trainability.
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Adventure PartnerScientifica Nov 2023 - Present• Responsible for identifying innovative technological projects within universities and research departments, fostering potential investments by Scientifica. Feel free to reach out at daniele.cucurachi@scientificavp.it to discuss interesting projects or ideas. -
Quantum Software Engineer InternIqm Quantum Computers Feb 2022 - Aug 2022Helsinki, Uusimaa, Finlandia• Developed Python libraries for the design and simulation of superconducting quantum processors:- Hands‑on experience with large codebases, collaborative programming tools such as GitHub and GitLab with Git for version control, and software engineering best practices such as unit testing (pytest and unittest), and conducting code reviews.- Developed a novel library feature to exponentially speed up the routing of quantum processors, currently utilized by the IQM Design & Simulation Team.- Opened more than 40 merge/pull requests within my first six months.- Conducted code reviews for projects involving up to 20 contributors.- Collaborated closely with the IQM Fabrication Team to design photomasks’ layouts and various superconducting circuit elements.• Modelling electromagnetic coupling in quantum processing units (QPUs) through finite element methods (ANSYS HFSS). A small part of my contributions, specifically those made to public projects only, can be found at https://github.com/iqm-finland/KQCircuits/commits?author=danielecucurachiiqm. The majority of my efforts during the internship were directed towards private IQM projects, limiting what I can showcase. Nevertheless, a concise overview of my contributions and the value I added to the company can be found in the reference letters provided by my supervisors (see attached pdf file). -
Research Intern At Hybrid Quantum Circuits (Hqc) LabEpfl (École Polytechnique Fédérale De Lausanne) Sep 2021 - Jan 2022Lausanne, Vaud, SwitzerlandSupervisors: Prof. Pasqale Scarlino, Dr. Vincent JouannyProject: "Apodization of Coupled Cavity Array for Waveguide QED (Quantum Electrodynamics)"Designed coupled resonator waveguides tailored for slow light applications in superconducting circuits. The project involved finite element method (ANSYS HFSS and Sonnet) simulations and the development of a Python library (based on the Python module gdspy) to optimize and speed up the design workflow. -
Research Intern At Laboratory Of Semiconductor Materials (Lmsc)École Polytechnique Fédérale De Lausanne Sep 2020 - Jan 2021Lausanne, Vaud, SwitzerlandSupervisor: Prof. Anna Fontcuberta i Morral (recently appointed as the new president of EPFL), Project “Localized Crystallization of Ge Nanowires”Conducted data analysis on Raman spectroscopy experiments to characterize Ge nanowires, aiming to optimize the crystallization process and enhance the crystal quality. My work enabled the utilization of the nanowires to produce fully functioning hole spin qubits. For more details, please visit my website at https://danielecucurachi.github.io/personal‑website/project/ge_nanowires/.
Daniele Cucurachi Education Details
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Physics -
Top 10% Of My Class
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110/110 Cum Laude (Top 2% Of My Class)
Frequently Asked Questions about Daniele Cucurachi
What company does Daniele Cucurachi work for?
Daniele Cucurachi works for Pasqal
What is Daniele Cucurachi's role at the current company?
Daniele Cucurachi's current role is Algorithm Developer - Machine Learning.
What schools did Daniele Cucurachi attend?
Daniele Cucurachi attended University Of Cambridge, Ecole Polytechnique Fédérale De Lausanne, Politecnico Di Torino.
Who are Daniele Cucurachi's colleagues?
Daniele Cucurachi's colleagues are Julius De Hond, François Doussoux, Parveen Sharawat, Desiree Lim, Vincent Martin, Clément De Terrasson De Montleau, Thierry Cartry.
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