Quantum (State, Process, Channel) Tomography and Quantum Optimal Control

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Department of Computer Science

Synopsis:

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Syllabus of lectures:

1.Motivating examples.

2.Models of closed quantum systems.

3.Models of open quantum systems.

4.Conditions for observability and controllability in state space.

5.Conditions for observability and controllability in frequency domain.

6.Sample complexity of identification.

7.Geometry of quantum states.

8.Geometry of quantum channels.

9.Geometry of quantum optimal control.

10.Quantum circuit complexity and the length of the trajectory in quantum optimal control.

11.Algorithmic quantum state tomography and quantum channel tomography.

12.Algorithmic quantum optimal control.

13.The motivating examples revisited.

Syllabus of tutorials:

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No time-table has been prepared for this course

The course is a part of the following study plans: