IPAM Graduate Summer School on Post-quantum and Quantum Cryptography

July 25-29, 2022
Los Angeles, USA

Registration deadline: April 15, 2022

The goal of this summer school is to present an in-depth introduction to post-quantum and quantum cryptography for advanced
undergraduate and graduate students, as well as young researchers, in mathematics, computer science, and physics. Lecturers in the school will discuss both topics hand in hand: post-quantum
cryptography, or the art of analyzing security of classical
cryptosystems against attacks, and quantum cryptography, or the art of leveraging quantum effects to develop new cryptographic schemes that are made possible by quantum information.

Prague Summer School on Discrete Mathematics

July 11-15, 2022
Prague, Czech Republic

Registration deadline: March 1, 2022

Prague Summer School on Discrete Mathematics 2022 will feature lecture series on
statistical physics methods in combinatorics (Will Perkins) and the container method (Wojciech Samotij). The School is primarily intended for PhD students and postdocs, but students and researchers in other stages of their careers may also participate. A limited number of stipends to cover travel and stay for participants is available.

School on Modern Directions in Discrete Optimization

September 13-17, 2021

Aims and Scope:
The school provides an introduction to some of the main topics of the trimester program on discrete optimization. The lectures will address the interface between tropical geometry and discrete optimization; recent developments in continuous optimization with applications to combinatorial problems; topics in approximation algorithms; and fixed parameter tractability. The lectures will be mainly directed towards PhD students and junior researchers.


Michał Pilipczuk (Warsaw University): Introduction to parameterized algorithms and applications in discrete optimization

Aaron Sidford (Stanford University): Introduction to interior point methods for discrete optimization

Ngoc Mai Tran (UT Austin): Tropical solutions to hard problems in auction theory and neural networks, semigroups and extreme value statistics

Rico Zenklusen (ETH Zürich): Approximation algorithms for hard augmentation problems

Abstracts can be found here:

Schedule can be found here:

Interested in attending the School?

Here is the link for the online (and free) registration!

This Summer School is part of the HIM trimester in Discrete Optimization

Organizers: Daniel Dadush (Amsterdam), Jesper Nederlof (Utrecht), Neil Olver (London), Laura Sanità (Eindhoven), László Végh (London)

ADFOCS 2021: Convex Optimization and Graph Algorithms

July 26 – August 13, 2021

ADFOCS is an international summer school held annually at the Max Planck Institute for Informatics (MPII). The topic of this year’s edition is Convex Optimization and its applications on Graph Algorithms. The event will take place online over the span of three weeks from July 26 to August 13 with a daily 2 hour lecture.

We are delighted to have the following speakers:

Alina Ene (Boston University): Adaptive gradient descent
Rasmus Kyng (ETH Zurich): Graphs, sampling, and iterative methods Aaron Sidford (Stanford University): Optimization Methods for Maximum Flow

Registration is mandatory but free.

International School-conference in Algorithms, Combinatorics, and Complexity

May 24-28, 2021

An advanced school for young researchers featuring three minicourses in vibrant areas of mathematics and computer science. The target audience includes graduate, master, and senior bachelor students of any mathematical speciality.

Prague Summer School on Discrete Mathematics

August 24-28, 2020
Prague, Czech Republic

Registration deadline: March 22, 2020

The third edition of Prague Summer School on Discrete Mathematics will feature two lecture series:

Subhash Khot (New York University): Hardness of Approximation: From the PCP Theorem to the 2-to-2 Games Theorem, and

Shayan Oveis Gharan (University of Washington): Polynomial Paradigm in Algorithm Design.

The School is primarily intended for PhD students and early career researchers. There is no registration fee and a number of travel stipends will be available.

Quantum Computer Science School 2020

January 14-16, 2020
University of Technology Sydney, Australia

The Quantum Computer Science School 2020 will consist of three days of lectures and academic activities, targeting at senior undergraduates and graduate students in Australian and Asian universities. The lecturers are Mingsheng Ying, Luming Duan, Michael Bremner, Troy Lee, and Ran Duan, and the topics include quantum algorithms, quantum programming, quantum supremacy, and matrix multiplication algorithms. This school is co-organised by the University of Technology Sydney and Tsinghua University.

Prague Summer School on Discrete Mathematics 2020

August 24, 2012 – August 28, 2020
Prague, Czechia

Registration deadline: March 15, 2020

A one-week summer school primarily for PhD students and postdocs. Lecture courses given by Subhash Khot (New York University) and Shayan Oveis Gharan (University of Washington).

Machine Learning for Communication Systems and Networks

September 2-4, 2019
Trinity College Dublin, Dublin, Ireland

The Summer School will include a technical track with lectures and workshops on various aspects of Machine Learning, as well as associated training in areas such as research ethics, career development, communicating research, innovation, and public engagement. It will also include social and networking events. Speakers will include Prof Marco Di Renzo (CentraleSupélec/CNRS), Dr Jakob Hoydis (Nokia Bell Labs France), Dr Irene Macaluso (Trinity College Dublin), Dr Panayotis Mertikopoulos (CNRS, Grenoble), Michaela Blott (Xilinx Research Labs, Ireland), Prof Yong Li (Tsinghua University, Beijing) and Prof Paul Patras (University of Edinburgh).

The Mathematics of Quantum Computation (IIAS@HUJI, Israel)

December 15-19, 2019
IIAS @ Hebrew University of Jerusalem, Israel

Registration deadline: August 23, 2019

The school will introduce TCS and math students and faculty, who are interested in the theoretical aspects of quantum computation, to the beautiful and fascinating mathematical and computational open questions in the area, starting from scratch. No prior knowledge on quantum will be assumed. We hope to reach a point where participants gain initial tools and basic perspective to start working in this area.

The school will consist of several mini-courses, each of two or three hours, about central topics in the area. These include quantum algorithms, quantum error correction, quantum supremacy, delegation and verification, interactive proofs, cryptography, and Hamiltonian complexity. We will emphasize concepts, open questions, and links to mathematics. We will have daily TA sessions with hands-on exercises, to allow for a serious process of learning.

Main speakers: Adam Bouland, Sergey Bravyi, Matthias Christandl, Sandy Irani, Avishay Tal, Thomas Vidick. Additional speakers: Dorit Aharonov, Zvika Brakerski, Or Sattath. (Lists are subject to changes and additions.)