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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

Tuning and operation of arrays

We discovered before that depending on architecture and design, each qubit can require a few gate electrodes. In this video we look at a few recent arrays of quantum-dot-based spin qubits, where there are as many as 48 gate voltages for a four-qubit array. We then discuss what actions a typical set of modules could encode, in order to tune a specific array.

Prerequisite knowledge

  • Spin qubits
  • Qubit decoherence
  • Quantum dot qubits
  • Operations on spin qubits
  • Capturing a Single Electron

Main takeaways

Dividing the tuning process into coarse and fine modules can simplify the complexity of a tuning algorithms, and help us apply different techniques to the problem.

The charge stability diagram you have heard about before is a powerful tool to deliver information to a decision-making algorithm.