Marco Venere
PhD Candidate in Quantum Computing
Exploring the intersection of Quantum Computing and Electronic Design Automation. Research projects on quantum algorithms, quantum error correction, and hardware acceleration with FPGAs.
PhD Candidate in Quantum Computing
Exploring the intersection of Quantum Computing and Electronic Design Automation. Research projects on quantum algorithms, quantum error correction, and hardware acceleration with FPGAs.
My research focuses on the convergence of quantum computing and classical computing systems, developing novel algorithms and hardware solutions for the quantum era.
Developing hardware accelerators for quantum error correction algorithms, including FPGA implementations of the Sparse Blossom Algorithm for real-time quantum error correction.
Developing novel quantum algorithms for EDA toolchains, achieving super-polynomial speedups for circuit design and library mapping problems.
Designing reconfigurable architectures and GPU-based frameworks for biomedical applications, quantum computing, and peer-to-peer DMA infrastructures.
Recent contributions to quantum computing and hardware acceleration research
IEEE Transactions on Quantum Engineering (TQE)
August 2025
View PaperProceedings of the 62nd IEEE/ACM Design Automation Conference (DAC)
June 2025
View PaperACM Transactions on Reconfigurable Technology and Systems (TRETS)
March 2025
View Paper2024 IEEE International Conference on Quantum Computing and Engineering (QCE)
September 2024
View Paper2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
June 2025
View Paper2024 IEEE 42nd International Conference on Computer Design (ICCD)
November 2024
View PaperACM Transactions on Embedded Computing Systems, 22(5s), 1-24
September 2023
View Paper2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)
October 2023
View PaperCenter for Theoretical Physics - Massachusetts Institute of Technology (MIT)
Working in Quantum Information under the supervision of Prof. Soonwon Choi.
Inveriant - Spin-Off from Centre for Quantum Technologies (CQT), University of Singapore
Design of novel algorithms for quantum machine learning and benchmarking of state-of-the-art quantum processing units.
Advanced Micro Devices (AMD), Dublin, Ireland
Design of peer-to-peer DMA infrastructure between FPGAs and GPUs, with RDMA-based communication among multiple peers.
Politecnico di Milano
Research in Quantum Computing, Quantum Error Correction, and Hardware Design under supervision of Prof. Marco Domenico Santambrogio. Chair of IEEE Italy Section Student Branch.
Gestione Impresa S.r.L., Italy
Native Android app development using Java and XML, REST API integration, UI design, and concurrent programming.
Sharing knowledge in quantum computing and software engineering
NECSTLab and MathWorks, Inc. | May 2023 - Current
Lecturer for "Passion in Action Quantum Computing: A Practical Perspective" and "Quantum Information Processing 101", teaching MATLAB Support Package for Quantum Computing and leading student optimization projects on quantum computers.
NECSTCamp, Leonardo Project | Feb 2023 - Current
Tutoring students in Advanced Computer Architectures, High Performance processors and systems, and Multidisciplinary Project focusing on Quantum Computing and Hardware Acceleration.
Software Engineering Course | Feb 2023 - Jul 2023
Teaching assistant for "Prova Finale (Ingegneria del Software)" under Prof. Pierluigi San Pietro, focusing on software engineering principles and project evaluation.
Design Automation Conference (DAC) 2025
Reconfigurable Architectures Workshop (RAW) 2025
Reconfigurable Architectures Workshop (RAW) 2024
Integration of Zero-Noise Extrapolation from Mitiq into OpenQAOA
"Fondazione Grazioli", Classe di Scienze Matematiche e Naturali
PhD Category 2023
PYNQ Category 2022
First Classified, Class E1, 2021
marco.venere@polimi.it
Politecnico di Milano
Department of Electronics, Information and Bioengineering
I'm always interested in collaborating on research projects related to quantum computing, hardware acceleration, and the intersection of quantum algorithms with classical EDA toolchains.
Whether you're looking to explore quantum error correction implementations, discuss novel quantum algorithms, or collaborate on hardware design projects, feel free to reach out!