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DanieleCucurachi/README.md

👋 Hello, I’m @DanieleCucurachi

I am a computational physicist with experience in scientific software development and research. My background and research 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.

During my previous internship at IQM Quantum Computers, among other projects that I cannot showcase, I made relevant contributions to KQCircuits, an open-source Python library for integrated quantum circuit design. My contributions can be found here.

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 [email protected] 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. The preliminary results of the research project have been presented at the ”Osservatorio sulle Metamorfosi Socio‑Tecnologiche” event, hosted by United Italian Societies (UIS) at the Italian Cultural Institute (ICI) in London.

  • I am finalizing a research project in collaboration with the Quantum Information Group (University of Cambridge).

Feel free to reach out!

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  1. QMCMC QMCMC Public

    Repostory containing a classical simulator of the first version of the Quantum-enhanced MCMC optimization algorithm.

    Jupyter Notebook