Daniele Cucurachi

Worked on the development of Python libraries for automating the design and simulation of superconducting quantum circuits (https://github.com/iqm-finland/KQCircuits and other IQM's private software projects)

• Managed Communications & Events team (6 people) • Obtained sponsorship from the companies "Quantum Machines" and "McKinsey & Company" • Participated in the organization of quantum computing related events which involved both academia and industry, the last one being EPFL QCA Quantum Hackathon: more than 80 international participants, event focused on quantum chemistry simulation

Design optimization of a waveguide in the microwave domain based on an architecture of periodic arrays of coupled resonators to obtain flat transmission across a defined frequency range through apodization and study slow light applications. The project involved computer simulations (Sonnet Software and ANSYS HFSS) and the development of a Python library to optimize and speed up the design process of the devices.

Visiting student at Cambridge working with the Quantum Information Group (https://www.qi.phy.cam.ac.uk/) on efficient quantum circuits for chemistry simulations.

GPA: 5.6/6 Courses: • Machine Learning • Artificial Neural Networks • Quantum Computing and Quantum Information (Quantum Algorithms) • Quantum Optics and Quantum Information • Quantum Physics III (Advanced Quantum Physics) • Quantum Transport in Mesoscopic Systems • Solid State Systems for Quantum Information Processing • Semiconductor Physics and Light-Matter Interaction • Physics of Photonic Semiconductor Devices • Frontiers in Nanoscience (Nanostructures Fabrication and Characterization) • TEM (Transmission Electron Microscopy) Advanced Methods • Experimental Methods in Physics

• Graduated with: 110 with honours / 110 (top grade) • Several team projects in the field of applied physics (photonics and measurements in cryogenic environment) and electronics (electronic measurements, basic circuits design and simulation)