Quantum and nanocomputing

Summary

The course teaches non von-Neumann architectures. The first part of the course deals with quantum computing, sensing, and communications. The second focuses on field-coupled and conduction-based nanocomputing, in-memory and molecular computing, cellular automata, and spintronic computing.

Content

Keywords

Qubit, quantum stack, von Neumann architectures, biomolecular computing, memristors, logic-in-memory, conduction-based computing

Learning Prerequisites

Required courses

• Basic mathematics/physics

Recommended courses

• Basic quantum mechanics
• Solid-state devices
• CMOS circuit design

Learning Outcomes

By the end of the course, the student must be able to:

• Generalize basic concept of a quantum computer
• Develop simple algorithms
• Design cryo-CMOS circuits and systems
• Contextualise the control and readout of spin qubits
• Elaborate basics of in-memory computing, molecular computing, memristors, and conduction-based computing

Assessment methods

On-going assesment through homework

Final examination

Resources

Bibliography

• N.D. Mermin, “Quantum Computer Science: An Introduction,” Cambridge University Press, 5th printing, 2016. ISBN 978-0-521-87658-2
• M.A. Nielsen, I.I. Chuang, “Quantum Computation and Quantum Information”, Cambridge Press, 3rd printing, 2017. ISBN 978-1-107-00217-3

Ressources en bibliothèque

• Quantum Computer Science: An Introduction / Mermin
• Quantum Computation and Quantum Information / Nielsen

Moodle Link

• https://go.epfl.ch/MICRO-435