Quantum Computing – Theory and Practice
With Lior Horesh, IBM
Quantum Computing – Theory and Practice: Quantum algorithms, quantum noise and quantum operations
This is part of the short course ‘Quantum Computing – Theory and Practice’, http://talks.cam.ac.uk/show/index/86491
This course covers fundamental theoretical concepts of quantum computation and quantum information will be covered. In addition, hands-on experimentation of quantum algorithms will be demonstrated on actual quantum devices. Special consideration will be given to realization of limitations of current, non-fault tolerant quantum systems, as well as means to mitigate them when possible.
Specifically, lecture 3 covers:
a. Quantum algorithms: Deutsch, Deutsch Josza, Simon’s, quantum Fourier transform, quantum phase estimation, Grover’s search algorithm
b. Quantum noise and quantum operations: gate fidelities, amplitude leak, phase decoherence, algorithmic design considerations (Variational Quantum Eigensolver example)
There will be a 15 minute break in the middle of the lecture.
It is useful for students to have a laptop/tablet (or even a smartphone) for some of the more practical examples, but this is not necessary. Those without computer access can follow a demo shown by the instructor.
- Speaker: Lior Horesh, IBM
- Thursday 03 May 2018, 14:00–16:30
- Venue: CMS, MR3.
- Series: CCIMI short course: Quantum Computing – Theory and Practice; organiser: Rachel Furner.