Alessio Esposito
Master's graduate
Quantum Computing, Numerical Simulation, Python, R&D, Data Scientist, IBM Research, R&D Scientist
Available now.
Professional Profile
Theoretical Physics graduate with experience in quantum computing research developed in collaboration with IBM. During my research project, I addressed optimization challenges caused by quantum hardware noise. Through this experience I developed concrete problem-solving skills, and a solid background in numerical quantum simulations using Qiskit and PennyLane quantum libraries. I am seeking a role in industry—particularly as Data Scientist and in R&D—where I can apply rigorous analysis, adaptability, and a continuous-improvement approach. I am currently expanding my expertise into Quantum Variational Algorithms applied to machine learning. I am fluent in English (C1), enabling effective collaboration in international and technical environments.
Experience
11/2025 - 04/2026
I led a research project awarded an IBM Quantum Credit Grant of $50,000 for hardware resources. I designed and implemented quantum computing techniques to simulate strongly correlated fermionic systems, achieving a 50% reduction in hardware noise compared to IBM's native transpilation optimization. These techniques enabled the simulation of 4×4 and 6×6 2D square lattices, among the largest systems currently simulated on quantum hardware.
Technical Repository (Access upon request): https://github.com/alessioesposito200-pixel/IBM_project
Note: This repository is currently set to private to protect intellectual property prior to research publication. Read-only access will be promptly granted to IBM staff and technical managers upon request.
Education
Università degli Studi di Milano-Bicocca
Degree: Master's degree in Theoretical Physics
2023 - 2025
Votazione: 110/110 cum Laude
Attività e associazioni: IBM Quantum Credits
As part of my Master’s thesis, I developed quantum simulations of fermionic systems to study magnetic phases in the Hubbard model. I applied advanced fermion-to-qubit mappings, including the Bonsai mapping for IBM’s heavy-hex hardware, and used PennyLane with the qDRIFT protocol to simulate ground-state energy, magnetization, and correlation functions. This work evaluates the feasibility and accuracy of quantum simulations on near-term devices.
Università degli Studi di Firenze
Degree: Bachelor's degree in Physics and Astrophysics
2020 - 2023
Votazione: 108/110
My thesis focused on exploring how the postulates of quantum mechanics are applied in quantum computing, including practical examples of quantum algorithms. Additionally, it investigated innovative experimental techniques for implementing superconducting quantum computers.
Istituto di Istruzione Superiore Statale "Simone Weil"
Degree: High School Diploma (Liceo Classico)
2014 - 2019
Languages
English
C1 - Advanced
Spanish
A2 - Elementary
Japanese
A1 - Beginner
Skills
Hard skills
Data Analysis & Statistical Methods, Scientific Programming (proficient in Python and C), Numerical Simulations & Modelling, Quantum Computing (Qiskit, PennyLane), Problem Solving, Measurement Error Analysis, Experimental methodology, Fundamentals of SQL
Soft skills
Teamwork, Resilience & stress management, Time management, Attention to detail, Critical thinking, Fast learning / adaptability, Communication skills , Creativity, Goal-oriented mindset
Skills I'd like to learn or improve
Software skills, Language skills, Project management, Machine Learning & Data-driven methods, Team coordination, Database management
Field of work
R&D, Quality Control, Simulation Engineer, Quality & Reliability, Lab Analyst, Quantum Developer
Certifications
Driving Licences
Patente B
Certificates
IELTS test report - Listening: C1 Reading: C1 Writing: B2 Speaking: B2
Other information
Interests
In my spare time I enjoy painting and I've sold most of my artworks.
Moreover, I played competitive volleyball for 10 years, reaching Italy’s Serie C, which strengthened my teamwork abilities and resilience.