JUNIQ Summer School on Quantum Computing - Gate-based and Annealing Systems - Remote

Europe/Berlin
JUNIQ Team
Description

The Jülich Supercomputing Centre will host the summer school on Quantum Computing – Applications on Gate-based and Annealing Systems” from August 26-30, 2024. The school focuses on hands-on experiences in developing and implementing algorithms on both gate-based devices and quantum annealers. The hands-on sessions will be accompanied by several lectures covering basic concepts of gate-based and annealing systems, the design and implementation of use-cases, and big-picture lectures, all given by experts from the field. 

Topics: Introduction to Gate-Based Quantum Computing, Introduction to Quantum Annealing, Introduction to Quantum Simulation, Formulating QUBO Problems and Ising Hamiltonians, Quantum Approximate Optimization Algorithm, Emulation of Quantum Systems, Classical vs Quantum Optimization.

For the hands-on sessions, remote-participants must organize access to quantum annealing and gate-based resources themselves. We suggest to use D-Wave Leap and Qiskit to be compatible with the exercises and solutions provided. We will further provide an online platform with a chat-function and file exchange to enable remote-participants to discuss and exchange results.

Please note that this is the registration page for remote participation. If you want to attend this event on-site register here.


Due to overcapacity, registrations are now closed.

Registrations for the on-site version, if sent by email with all the required attachments, open until August 9.

    • 10:10 10:30
      Welcome and Introduction to the JSC 20m
      Speaker: Prof. Kristel Michielsen
    • 10:30 11:30
      Introduction to Gate-based Quantum Computing 1h

      Introduction to quantum bits and quantum gates
      Programming and Simulating quantum circuits
      Applications: QFT, Quantum Adder, QAOA

      Speaker: Dr Dennis Willsch
    • 12:30 14:00
      Introduction to Quantum Annealing 1h 30m

      This talk is a general introduction to quantum annealing. It covers:
      - how does a quantum annealer work in theory and what can it be used for;
      - what are the theoretical and practical limitations;
      - how to solve problems on quantum annealers, in particular D-Wave quantum annealers as the one hosted by JSC;
      - the basic information about the architecture of D-Wave quantum annealers;
      - how to formulate an optimization problem as a QUBO or Ising problem;
      - different encoding strategies;
      - how to incorporate constraints;
      - how to embed a (logical) problem onto the given hardware graph (considering physical connectivity);
      - how to send a problem to the quantum annealer using D-Wave's Ocean SDK and how to interpret the response;
      Finally, some small examples are presented and the talk ends with a short hands-on exercise.

      Speaker: Dr Madita Willsch
    • 15:00 16:00
      Introduction to Neutral Atom Quantum Computing 1h
      Speaker: Dr Jaka Vodeb
    • 09:00 10:00
      QUBO Formulation and QAOA: A Tutorial on Encoding and Solving Combinatorial Optimization Problems - Part I 1h

      In this tutorial, we will dive into combinatorial optimization problems and explore how effectively encode these problems using the Quadratic Unconstrained Binary Optimization (QUBO) formulation and how to tackle them using the Quantum Approximate Optimization Algorithm (QAOA).

      Speaker: Dr Jhon Alejandro Montanez-Barrera
    • 10:00 10:20
      Introduction of Hands-on Topics 20m

      In this session, the topics for the hands-on sessions will be introduced.

    • 10:20 11:00
      Hardware & Software Setup 40m
    • 11:00 12:00
      Hands-on Session 1h
    • 13:00 14:00
      QUBO Formulation and QAOA: A Tutorial on Encoding and Solving Combinatorial Optimization Problems - Part II 1h

      In this tutorial, we will dive into combinatorial optimization problems and explore how effectively encode these problems using the Quadratic Unconstrained Binary Optimization (QUBO) formulation and how to tackle them using the Quantum Approximate Optimization Algorithm (QAOA).

      Speaker: Dr Jhon Alejandro Montanez-Barrera
    • 14:00 16:00
      Hands-on Session 2h
    • 16:00 17:00
      Emulating Quantum Systems 1h

      Full dynamics of a CLOSED quantum spin-1/2 system: gate-based quantum computer & quantum annealer;
      Full dynamics of an OPEN quantum spin-1/2 system: gate-based quantum computer & quantum annealer;
      Solving the time-dependent Schrödinger equation numerically;
      (Part of) our history of emulating quantum computers;

      Speaker: Prof. Kristel Michielsen
    • 09:00 10:00
      Quantum Annealing Applications 1h

      Optimization Problems: Airline Scheduling, TSP, Garden Optimization
      Constraint Problem: 2-SAT
      Machine Learning Problem: Quantum Support Vector Machine
      Sampling Problem: Quantum Boltzmann Machin

      Speaker: Dr Dennis Willsch
    • 10:00 11:00
      Quantum Simulation 1h

      I will talk about the first experimental signatures of two-dimensional many-body false vacuum decay in a quantum material emerging from microscopic interactions. We used a programmable noisy superconducting quantum simulator with 2008 qubits in order to perform simulations corresponding to our specific experiment on quantum domain reconfiguration in a topical electronic crystal. We carefully chose a simulator with the same measured noise spectrum to ensure the fidelity of the model correspondence between the two systems, thereby presenting a realization of simulating real-world open quantum systems according to the original vision of Feynman.

      Speaker: Dr Jaka Vodeb
    • 11:00 12:00
      Hands-on Session 1h
    • 13:00 14:00
      Simulating Noise of Quantum Computers 1h

      As much as we want to isolate them, we must see quantum machines as open systems. Interactions happen between the quantum machine and its environment leading to decoherence. This effectively give different types of noise at the level of the machine. What are they and how can we take them into account when doing simulation on our classical computer?

      Speaker: Dr Kevissen Sellapillay
    • 14:00 15:00
      Hands-on Session 1h
    • 11:00 12:00
      Building a Superconducting Quantum Computer 1h
      Speaker: Prof. Rami Barends (PGI-13)
    • 13:00 15:00
      Hands-on Session 2h
    • 15:00 16:00
      Quantum Annealing - A Broader Perspective 1h
      Speaker: Prof. Paul Warburton
    • 09:00 10:00
      Feedback Session 1h
    • 10:00 11:45
      Hands-on Session 1h 45m
    • 14:00 15:00
      The Future of Quantum Computing 1h
      Speaker: Prof. Frank Wilhelm-Mauch
    • 15:00 15:30
      Wrap-up and Goodbye 30m
      Speaker: Mr Gabriel Fazito Rezende Fernandes (JSC)