• Understand the physics behind Germanium qubits and their advantages and challenges.
• Learn how Germanium qubits can be controlled and how this process can be automatized using machine learning.
• Familiarize yourself with different companies in the semiconducting industry and their facilities.
• Identify how quantum algorithms and quantum error correction can be performed using Germanium qubits.

WEEK 1: Semiconductor devices and materials

• Semiconductor devices - industrial approach
  • What can CMOS technology do for quantum computing?
  • Semiconductor devices and their scaling using the industrial approach
  • Semiconductor foundry facilities: the good and the bad for qubits
  • IMEC's latest qubit developments
  • Summary and outlook
• Semiconductor materials - structure and growth
  • Semiconductors for spin qubits
  • Germanium quantum wells on silicon
  • Germanium quantum wells on silicon-germanium
  • Growth methods
  • Characterization techniques

WEEK 2: Germanium qubits

• Quantum dot qubits and Germanium physics
• Germanium qubits - single spin and scaling
• Germanium qubits - multi-spin encodings
  • Physics of holes
  • Hole spin qubits
• Mid-term exam (multiple choice)

WEEK 3: Tuning quantum dots

• Electronics for quantum computing
  • Introduction to electronics for quantum computing
  • Room temperature electronics
  • Cryogenic qubit chip carriers
  • Contribution to IGNITE
• Quantum dots auto-tuning - experimental
  • Auto-tuning a quantum computer
  • Tuning and operation of arrays
  • Finding operation points example
• Quantum dots auto-tuning - theor
  • What is auto-tuning?
  • Neural network tuning
  • Navigating charge stability diagrams
  • Experimental implementation
  • Towards universal quantum algorithms

WEEK 4: Quantum error correction and quantum algorithms

• Quantum error correction
  • Classical error correction
  • Quantum error correction
  • Progress and challenges
• Quantum algorithms
  • Introduction to quantum algorithms
  • The first algorithms
  • Quantum annealing
  • Quantum machine learning

WEEK 5:

• Final exam (multiple choice)