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QI4U in Italy

2026.02.02 - 02.04

QI4U in Italy

Overview

“Quantum Infinity for You in Italy: From HPC to Quantum Computing” is a lecture and workshop program designed to allow participants to experience quantum computing as one of the approaches to problem-solving through learning the fundamentals and practical applications of combinatorial optimization problems.

Through this program, participants will explore the potential of quantum computing while engaging in hands-on activities and discussions. In addition, the program aims to promote academic exchange and foster collaborative research between participants from Italy and Japan.

Purpose

The purpose of this event is to provide participants with opportunities to learn the fundamentals and practical approaches of combinatorial optimization problems, to experience quantum computing as one of the problem-solving methodologies, and to explore its potential.

Furthermore, this program aims to promote academic exchange and joint research among participants from Italy and Japan.

Contents

  • Lectures on the fundamentals of combinatorial optimization problems
  • Introduction to solution methods for combinatorial optimization using quantum computers, along with related research case studies
  • Group discussions focused on problem setting and proposing solution strategies
  • Workshops on combinatorial optimization and quantum computing research
  • Networking and interaction among participants

Participants

Graduate students, researchers, business professionals, and highly motivated undergraduate students affiliated with the University of Rome La Sapienza or institutions in the Rome metropolitan area who are interested in fundamental and applied research on combinatorial optimization problems and quantum computing.

In addition, participants of related events previously held in Japan, as well as participants from Japan recommended by Prof. Ohzeki, are also expected to join.

Talk

  • Talk1: Introduction to combinatorial optimization problems
  • Talk2: Fundamentals of Quantum Annealing and its application

Lectures

Formulation of case studies as combinatorial optimization problems, solution methods using classical and quantum computing, and hands-on programming exercises.

Group Works

  • Review of related and previous studies
  • Formulation of optimization problems
  • Programming
  • Computation using classical or quantum computers
  • Compilation of results into presentations

Presentations

  • Participant presentations
  • Feedback and discussion with professors and staff

Programme

Overall Schedule

Day
Time
Content
Day 1
Feb 2 (Mon)
13:30-14:00
Registration
14:00–14:50
Talk1 (Professor Federico Ricci-Tersenghi) 40min+10min
15:00–15:50
Talk2 (Professor Masayuki Ohzeki) 40min+10min
16:00–16:40
Lecture1: Introduction to Combinatorial Optimization with Simulated/Quantum Annealing
16:50–17:50
Lecture2: Solving Basic Combinatorial Optimization Problems with Simulated/Quantum Annealing
18:00–18:30
Lecture3: Applications of Combinatorial Optimization
18:30-
Announcement about Group work
Commemorative photo 1
Day 2
Feb 3 (Tue)
09:30–10:15
Group work (problem・topic setting)
10:25–11:10
Group work (problem・topic setting)
11:20–12:05
Group work (problem formulation)
12:05–
Break
14:00–14:45
Group work (problem formulation)
14:55–15:40
Group work (programming)
15:50–16:35
Group work (programming)
16:45–17:30
Group work (programming)
Day 3
Feb 4 (Wed)
09:30–10:15
Group work (visualizing results; wrap-up)
10:25–11:10
Presentation preparation (1)
11:20–12:05
Presentation preparation (2)
12:05–
Break
14:00–14:45
Outcome presentations (1)
14:55–15:40
Outcome presentations (2)
15:50–16:35
Closing remarks
Commemorative photo 2

Notes

  • Talks: 40-minute presentation + 10-minute Q&A.
  • Lectures:
    • Lecture1 40-minute (Q&A as appropriate).
    • Lecture2 60-minute (Q&A as appropriate).
    • Lecture3 30-minute (Q&A as appropriate).
  • Outcome presentations: planned as a 10-minute presentation + 5-minute
    Q&A (to be adjusted flexibly depending on the number of participants).

Instructors

Prof. Masayuki Ohzeki

Prof. Masayuki Ohzeki

Graduate School of Information Sciences, Tohoku University

Assoc. Prof. Rumiko Honda

Assoc. Prof. Rumiko Honda

Graduate School of Information Sciences, Tohoku University

Student Mentors and Support Staff

Mikiya Doi

Mikiya Doi

Graduate School of Information Sciences, Tohoku University

Ph.D. Candidate

Keisuke Morita

Keisuke Morita

Graduate School of Information Sciences, Tohoku University

Ph.D. Candidate

Hiroki Aita

Hiroki Aita

Graduate School of Information Sciences, Tohoku University

Master’s Student

Yuta Ozaki

Yuta Ozaki

Institute of Science Tokyo

Master’s Student

Poster