Mar 5 – 7, 2024
Asia/Tokyo timezone

The Kobayashi-Maskawa Institute for the Origin of Particles and the Universe (KMI) was established in 2010 at Nagoya University to explore new frontiers of modern physics beyond the Standard Model. KMI decided to launch the KMI school in 2018, to which we invite distinguished researchers to KMI to have them give their lectures on specific topics every year. The KMI school is intended for graduate school students and young post-docs. We would like you to encourage young members of your groups to join the KMI school.

The 5th KMI School is dedicated to exploring “Quantum Computing and Technology for Particle Physics and Astrophysics” in collaboration with ICEPP (University of Tokyo, co-host).

Quantum computing, an emerging technology, has the potential to change the landscape of particle physics and astrophysics. Its potential lies in unlocking the ability to study phenomena that have been beyond the reach of traditional computing power. This breakthrough has the potential to explore a new era of research, marked by groundbreaking discoveries.

The benefits of applying quantum computing to particle physics and astrophysics are many. Quantum computers have the ability to process information exponentially faster than their traditional counterparts. This opens the door to simulating complex phenomena that were previously considered impossible to study. For example, quantum computers can simulate the conditions of the early universe or accurately model the interaction of particles in high-energy collisions. Such simulations pave the way for a deeper understanding of the fundamental laws of nature and the origins of the universe.

In addition to these core sessions, the event will feature topical seminars focused on quantum computing and quantum sensors in the field of particle physics and astrophysics. These seminars are designed to further enrich the participants’ understanding of the potential applications of quantum technologies in their respective fields.

Link to the github page: