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Germanium Quantum Technology

01 /What can CMOS technology do for quantum computing? 02 /Semiconductor devices and scaling with industrial approach 03 /Semiconductor foundry facilities: the good and the bad for qubits 04 /IMEC's latest qubit developments 05 /Summary and outlook 06 /Semiconductors for spin qubits 07 /Germanium quantum wells on silicon 08 /Germanium quantum wells on silicon-germanium 09 /Growth methods 10 /Characterization techniques 11 /Electrical characterization of germanium quantum wells 12 /Fabrication of H-FET 13 /Semiconductor qubits: vision and challenges 14 /Quantum materials 15 /Quantum dot qubits and their operation 16 /Types of quantum dot qubits 17 /Qubit Readout 18 /Qubit Control 19 /Qubit Coherence and Fidelity 20 /Multi-qubit control and quantum algorithms 21 /Quantum links and scaling 22 /Physics of holes 23 /Hole spin qubits 24 /Introduction to electronics for quantum computing 25 /Room temperature electronics 26 /Cryogenic qubit chip carriers 27 /Contribution to IGNITE 28 /Quantum Control Stack for Spin Qubits 29 /Auto-tuning a quantum computer 30 /Tuning and operation of arrays 31 /Finding operation points example 32 /What is auto-tuning? 33 /Neural network tuning 34 /Navigating charge stability diagrams 35 /Experimental implementation 36 /Towards universal quantum algorithms 37 /Classical error correction 38 /Quantum error correction 39 /Progress and challenges 40 /Introduction to quantum algorithms 41 /The first algorithms 42 /Quantum annealing 43 /Quantum Machine Learning

Introduction to quantum algorithms

In this final module, you will explore the applications of Germanium-based quantum technologies, beginning with a quick overview of the current state of research in the field of quantum algorithms in this video. We also look at a brief collection of literature in this area and comment on the most well-known examples of quantum algorithms so far.

Main takeaways

  • Quantum computing is a very active area of research, also from the algorithmic point of view. 
  • There are already broad applications of quantum algorithms, and more are coming. 
  • Trend towards hybrid approaches until fault-tolerant quantum computers will be available. 

Further thinking

True or False: Quantum computing had proven itself valuable enough to constitute a research avenue.

Solution

Further reading

Quantum Information and Quantum Computation. Michael A. Nielsen and Isaac L. Chuang

The theory of variational hybrid quantum-classical algorithms. J. R. McClean, J. Romero, R. Babbush, A. Aspuru-Guzik, arXiv:1509.04279

Quantum Machine Learning  J. Biamonte, P. Wittek, N. Pancotti, P. Rebentrost, N. Wiebe, S. Lloyd, arXiv:1611.09347