2023-07-19 Eviden Qaptiva (QLM) Fast-Start Training (hqct2s23)

Contents

This on-site course provides an introduction to programming quantum algorithms & applications with Eviden Qaptiva.

The course is organised in collaboration with Eviden.

Tentaitive Agenda

Day 1

Morning : Introduction to Quantum Computing and Eviden solutions

– Introduction to Quantum Computing: what is a qubit, how to represent it and how to build circuits

– Overview of the Eviden emulator : Quantum Learning Machine (QLM) – a platform for programming,

optimizing and simulating quantum computations

– Introduction to pyAQASM : Eviden Quantum Assembly language with a Python extension

– Hands-on 1: code your first Quantum program involving superposition and entanglement (EPR pair)

Afternoon : Introduction to Quantum Programming

– Introduction to pyAQASM : Eviden Quantum Assembly language with a Python extension

– Overview of advance tools for Quantum Programming on Eviden QLM

– Hands-on 2: set up any Quantum state using parametrized Gates

– Hands-on 3: build Quantum functions using Qroutines

– Hands-on 4: build your own Quantum gates using Abstract Gates

– Hands-on 5: simplify the design of applications using Plugins

Day 2

Morning : Introduction to (simulated) Quantum Annealing and QAOA

– Formulation of a QUBO problem (Quadratic unconstrained binary optimization)

– Presentation of Ising model

– Translation from one formulation to another (QUBO - Ising)

– Introduction to Simulated Quantum Annealing (SQA)

– Hands-on 6: solving a Maxcut problem with SQA

– Introduction to QAOA (Quantum Approximate Optimization Algorithm)

– Hands-on 7: solving a Maxcut problem with QAOA

Afternoon : Introduction to Quantum Circuit Optimizers and Noisy Simulation

– Introduction to quantum circuit optimizers

– Hands-on 8: optimizing quantum circuits with optimizers

– Introduction to noisy simulation

– Hands-on 9: QAOA noisy simulation

– Introduction to quantum circuit simulators

– Hands-on 10: using simulators

Prerequisites

• General scientific formation
• Linear algebra basis
• Quantum mechanism principles are recommended but not mandatory

Hands-On

• Hands-on will be done on the LRZ QLM machine.
• You need an ssh client (we recommend MobaXterm) installed on your system for the hands-on sessions.

Language

English

Lecturers

Robert Wang (Eviden)

Prices and Eligibility

The course is open and free of charge for people from academia and industry.

Registration

Please register with your official e-mail address to prove your affiliation.

Withdrawal Policy

See Withdrawal

Legal Notices

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