INNO, FOKUS-Akademie, Quantencomputing, 10.11.2020
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The basics of Quantum Computing

Basics and the most important algorithms of Quantum Computing

Quantum mechanics provides the basis for a new paradigm of computing. In 1990s Shor's algorithms, which exponentially speed up integer factorization demonstrated the theoretical power of quantum computer. Recently, the development of quantum computers is making great progress and we need to learn how we can use the advantage of quantum computers.

In this course, you will learn the basics of quantum computing and the most important algorithms of Quantum computing.

Quantum Computing technology has advanced greatly in recent years. In the past 3 decades alone, new technologies have brought about a huge leap in Quantum Computation, from running the first ever quantum algorithm back in 1992 using Nuclear Magnetic Resonance(NMR), to running Quantum Neural Networks nowadays on a 64-Qbit Quantum Processing Unit(QPU) via Cloud. The technological advancement has accelerated greatly, more significantly over the past 2 years marked by the first announcement of a potential Quantum Supremacy. Moreover, Quantum Hardware developers have revealed their roadmap to reach a 1000 Qbit machine hinting that at an exponential rate, a million Qbit machine might be expected.

The emerging technology of Quantum Computation is bringing together computer scientists, physicists, chemists, statisticians and a broad range of engineers from the STEM (Science, Technology, Engineering and Mathematics) fields in a great effort to reach production level performance. Additionally, the high impact potential of this technology may bring revolutionary advancements over the whole spectrum of human activity.

Course Objectives

Day 1:

  • Fundamentals of Quantum Mechanics
    • From quantum mechanics to quantum computing
  • Mathematical Foundations of Quantum Mechanics
    • Postulates of Quantum Mechanics
    • Linear Algebra for Quantum Computing

Day 2:

  • Basic principles of quantum gates and circuits
    • Product state, gates, calculation with bra and ket, clifford and T gate
  • Limitations of NISQ devices with respect to circuits
    • Qubit quality, connectivity of the qubits, Average error

Day 3:

  • Fundamentals of Quantum Programming
    • Build and simulate simple quantum circuits
  • Basics of Quantum Algorithms
    • Overview over important quantum algorithms and application areas
  • Quantum Fourier Transform
    • Implementing the Quantum Fourier Transform on a Quantum Computer
Day 4:
  • Quantum Phase Estimation and Shor’s Algorithm
    • Implementing and analysing Shor’s algorithm
  • Grovers Algorithm
    • Applying Grover’s Algorithm to simple search tasks

Day 5:

  • Quantum Amplitude Amplification
  • Quantum Error Correction
  • Quantum Error Mitigation


Certification: 

After successful participation in the final exam, participants have the opportunity to acquire an additional personal certificate by the Fraunhofer Personnel Certification Authority.

Target Audience

  • Software Engineers
  • Data Scientists
  • QC Researchers
  • Technology Scouts

Course Data

Date: 10.-14.10.2022

Duration: 40 hours and virtual including exercises

Course fee: free

Language: English 

Number of participants: 12

Location: Online

Prerequisites

  • Basic knowledge in Python
  • Basic knowledge of Mathematics especially in Linear algebra

Lecturers

Dr. Jens Gerlach

Dr. Sabine Müller

Dr. Mazen Ali


Note: Participation in the sessions is ONLY possible with video. Please keep this in mind when making your attendance request.  

INNO, FOKUS-Akademie, Kontakt, 04.06.2022
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Please contact us 

Would you like individual advice or do you have any questions about our training courses? Send us an e-mail and we will then get in touch with you.

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