The next lecture on Quantum Technology will be given in WS 2019/2020.
The module has 5 ECTS points, including the lecture, tutorial, and an oral examination after the semester.
If you want to receive the lecture notes and exercise sheets, please send an email to firstname.lastname@example.org
Quantum theory was originally formulated as a statistical theory that describes ensembles of particles. Meanwhile, however, experiments in many laboratories around the world (and even by Google, IBM, Microsoft and Intel) have demonstrated quantum control over single particles. This has led to the dream of a “second quantum revolution”, in which the strangeness and the power of quantum physics is harnessed to facilitate novel technologies that provide possibilities beyond those offered by any classical device. In diverse settings, theory and proof-of-concept experiments have shown that one can gain unique advantage by storing, transmitting, and processing information encoded in systems that exhibit quantum properties. Examples include quantum cryptography (that allows for unbreakable encryption), quantum measurements (that can provide unprecedented resolution), quantum simulation (that can help to gain insight into complex quantum systems and materials), and quantum information processing (that can dramatically improve computational power for specific tasks).
This lecture will cover the basic principles that lie at the heart of the mentioned quantum technologies. After successful completion of the module the students will be able to answer the folloing questions:
Where and why is the control and entanglement of quantum systems a unique resource?
What are “quantum light fields”, and what are “quantum bits”? How can they be prepared, manipulated and measured?
What are quantum logic operations? How can they be implemented?
What it is decoherence? How it can be avoided?
Which experimental platforms can be used for quantum technology? What are their similarities, what are their differences?
- What are the open challenges towards up-scaling?
Further information: https://www.ph.tum.de/academics/org/cc/mh/PH2263/