marcoparadina
Quantum Computing MSc student at Sorbonne University, Paris
Sorbonne UniversityParis, France
Pinned Repositories
pyhop
Artificial intelligence lab project on planning algorithms, Örebro University
Qiskit_Hackathon_ETH
Quantum algorithm that efficiently estimates the mean of a stochastic distribution using Monte Carlo method and Quantum Amplitude Estimation.
exopy_installer
PPAR_project_1
Distributed computing model to solve large data-fitting problem with high precision and optimal speed. Deployed it on supercomputer network Grid5000 and obtained 1000% speedup compared to sequential model.
Qiskit_Hackathon_BCN
The Qiskit Hackathon Barcelona is an immersive competition featuring live engagement, teamwork, and mentorship by expert researchers, developers and advocates. Participants will have near 24 hours to work in teams to develop solutions to problems in the field of quantum computing and present it to a panel of judges.
Real_Time_Programming_labs
Embedded systems and real-time programming labs, Örebro University
qililab
Qililab is a generic and scalable quantum control library used for fast characterization and calibration of quantum chips. Qililab also offers the ability to execute high-level quantum algorithms with your quantum hardware.
advent-of-code-2022
Our solutions to Advent of Code problems
advent-of-code-2021
Our solutions to Advent of Code problems
advent-of-code-2020
Our solutions to Advent of Code problems
marcoparadina's Repositories
marcoparadina/exopy_installer
marcoparadina/Qiskit_Hackathon_ETH
Quantum algorithm that efficiently estimates the mean of a stochastic distribution using Monte Carlo method and Quantum Amplitude Estimation.
marcoparadina/Qiskit_Hackathon_BCN
The Qiskit Hackathon Barcelona is an immersive competition featuring live engagement, teamwork, and mentorship by expert researchers, developers and advocates. Participants will have near 24 hours to work in teams to develop solutions to problems in the field of quantum computing and present it to a panel of judges.
marcoparadina/PPAR_project_1
Distributed computing model to solve large data-fitting problem with high precision and optimal speed. Deployed it on supercomputer network Grid5000 and obtained 1000% speedup compared to sequential model.
marcoparadina/Real_Time_Programming_labs
Embedded systems and real-time programming labs, Örebro University
marcoparadina/pyhop
Artificial intelligence lab project on planning algorithms, Örebro University