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Development and Applications of Germanium Quantum Technologies

Giordano Scappucci, Menno Veldhorst, and Eliška Greplová

In the race towards a fault-tolerant quantum computer, the semiconducting qubit platform is the only one that has, thus far, been shown to be scalable. Germanium qubits are a new type of semiconducting qubits, and their progress has been exceptionally fast since the development of the material in 2018.You will learn about the physics behind Germanium qubits, their advantages, and challenges compared to other qubit platforms, and the electrical components that are needed to control them. In addition, you will familiarize yourself with different companies from the semiconducting industry, the fabrication facilities, and the latest developments in the field.

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In the race towards a fault-tolerant quantum computer, the semiconducting qubit platform is the only one that has, thus far, been shown to be scalable. Germanium qubits are a new type of semiconducting qubits, and their progress has been exceptionally fast since the development of the material in 2018.You will learn about the physics behind Germanium qubits, their advantages, and challenges compared to other qubit platforms, and the electrical components that are needed to control them. In addition, you will familiarize yourself with different companies from the semiconducting industry, the fabrication facilities, and the latest developments in the field.

This course is a collaboration between several parties, all of whom have state-of-the-art facilities for fabrication, control, or applications using Germanium qubits. By taking this course you will have the opportunity to learn about Germanium qubits from professionals in the field who are conducting innovative research that is not being done elsewhere.

The course is a journey of discovery, so we encourage you to bring your own experiences, insights, and thoughts via the forum!

What's inside

Learning objectives

  • 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.

Syllabus

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
Read more
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)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to semiconductor devices, which are ubiquitous in the tech industry
Taught by instructors who are recognized for their work in quantum computing
Develops a foundation and a strong understanding of qubits and quantum computing, which can open doors in industry and academia
Provides practical insight into and experience with electronics for quantum computing
It features a mix of media, including videos, readings, and discussions
Requires learners to think critically about concepts as they engage with the discussion forums

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Career center

Learners who complete Development and Applications of Germanium Quantum Technologies will develop knowledge and skills that may be useful to these careers:
Quantum Computing Researcher
Quantum Computing Researchers design, build, and test quantum systems. They also develop new methods for controlling and manipulating quantum states to learn about the fundamental nature of the universe and find practical applications for quantum mechanics. Those who wish to work in this career field may find this course valuable, as it will help them build a foundation in the physics and engineering of quantum computing systems and provide them with the knowledge and skills needed to advance the field.
Quantum Hardware Engineer
Quantum Hardware Engineers design and build the physical devices used in quantum computing. This includes developing new materials, components, and architectures for quantum processors. Those who aspire to become Quantum Hardware Engineers may find this course useful, as it will provide them with a comprehensive understanding of the physics and engineering of quantum computing systems, as well as the practical skills needed to design and build quantum hardware.
Quantum Software Engineer
Quantum Software Engineers develop and implement software for quantum computers. This includes designing new algorithms and programming languages, as well as developing tools for debugging and testing quantum programs. Those who wish to pursue a career as a Quantum Software Engineer may find this course beneficial, as it will provide them with a deep understanding of the underlying principles of quantum computing, as well as the programming skills needed to develop and implement quantum software.
Quantum Physicist
Quantum Physicists study the fundamental nature of quantum mechanics and its applications to various fields such as quantum computing, quantum information, and quantum cryptography. This course may be beneficial for those who seek a career as a Quantum Physicist, as it will provide them with a deep understanding of the theoretical foundations of quantum computing and its potential applications.
Quantum Algorithm Developer
Quantum Algorithm Developers design and develop new quantum algorithms for solving complex problems in various fields. This course may be helpful for those interested in becoming Quantum Algorithm Developers, as it will provide them with a comprehensive understanding of quantum computing and its potential applications, as well as the necessary skills to design and develop quantum algorithms.
Semiconductor Physicist
Semiconductor Physicists study the electronic properties of semiconductor materials and devices. They also develop new semiconductor materials and devices for use in various applications such as electronics, photonics, and quantum computing. Those who wish to work in this field may find this course helpful, as it will provide them with a deep understanding of the physics of semiconductor materials and devices, as well as the practical skills needed to design and develop new semiconductor materials and devices.
Semiconductor Process Engineer
Semiconductor Process Engineers develop and optimize the processes used to manufacture semiconductor devices. This includes developing new deposition, etching, and lithography techniques. This course may be useful for those interested in becoming Semiconductor Process Engineers, as it will provide them with a thorough understanding of the semiconductor manufacturing process, as well as the practical skills needed to develop and optimize semiconductor manufacturing processes.
Semiconductor Device Engineer
Semiconductor Device Engineers design and develop new semiconductor devices for use in various applications such as electronics, photonics, and quantum computing. Those who aspire to become Semiconductor Device Engineers may find this course helpful, as it will provide them with a comprehensive understanding of the physics and engineering of semiconductor devices, as well as the practical skills needed to design and develop new semiconductor devices.
Cryogenic Engineer
Cryogenic Engineers design, build, and operate systems that operate at extremely low temperatures. This includes developing new materials and techniques for cooling and maintaining ultra-cold temperatures. Those who wish to work in this field may find this course useful, as it will provide them with a deep understanding of the principles of cryogenic engineering and its applications in various fields such as quantum computing.
Materials Scientist
Materials Scientists study the properties of materials and develop new materials for use in various applications. This includes developing new materials for quantum computing, such as superconducting materials and topological insulators. Those who wish to pursue a career as a Materials Scientist may find this course beneficial, as it will provide them with a deep understanding of the properties of materials and the techniques used to develop new materials.
Quantum Information Scientist
Quantum Information Scientists study the transmission, processing, and storage of information using quantum-mechanical systems. This includes developing new quantum communication, quantum cryptography, and quantum computing technologies. Those interested in becoming Quantum Information Scientists may find this course helpful, as it will provide them with a solid foundation in the principles of quantum information science and its applications.
Quantum Computing Architect
Quantum Computing Architects design and develop the architecture of quantum computers. This includes designing the hardware, software, and algorithms needed to build a fault-tolerant quantum computer. Those who wish to pursue a career as a Quantum Computing Architect may find this course beneficial, as it will provide them with a deep understanding of the principles of quantum computing architecture and its challenges.
Quantum Metrologist
Quantum Metrologists develop and use quantum technologies to improve the precision of measurements. This includes developing new quantum sensors and quantum clocks. Those interested in becoming Quantum Metrologists may find this course helpful, as it will provide them with a deep understanding of the principles of quantum metrology and its applications in various fields.
Quantum Technologist
Quantum Technologists develop and apply quantum technologies for use in various fields such as computing, communication, and sensing. Those who wish to pursue a career as a Quantum Technologist may find this course beneficial, as it will provide them with a broad understanding of the principles and applications of quantum technologies.
Electronics Engineer
Electronics Engineers design and develop electronic circuits and systems. This includes developing new electronic devices, such as transistors and integrated circuits. Those who wish to work in this field may find this course helpful, as it will provide them with a deep understanding of the principles of electronics and the practical skills needed to design and develop new electronic devices and systems.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Development and Applications of Germanium Quantum Technologies.
Provides a comprehensive overview of the field of quantum computing.
Provides a comprehensive introduction to the field of quantum information theory.
Serves as an overview of quantum information and computation, and how they can be achieved using physical devices, focusing on the use of trapped ions.
Introduces the fundamentals of quantum computing, with a focus on the underlying mathematical concepts.

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