COMP39112 Quantum Computing syllabus 2020-2021
Quantum computing is one of the most intriguing of modern developments at the interface of computing, mathematics and physics, whose long term impact is far from clear as yet.
This course unit detail provides the framework for delivery in 20/21 and may be subject to change due to any additional Covid-19 impact. Please see Blackboard / course unit related emails for any further updates.
The perspective that quantum phenomena bring to the questions of information and algorithm is quite unlike the conventional one. In particular, selected problems which classically have only slow algorithms, have in the quantum domain, algorithms which are exponentially faster. Most important among these is the factoring of large numbers, whose difficulty underpins the security of the RSA encryption protocol, used for example in the secure socket layer of the internet. If serious quantum computers could ever be built, RSA would become instantly insecure. This course aims to give the student an introduction to this unusual new field.
State Transition Systems. Nondeterministic Transition Systems, Stochastic Transition Systems, and Quantum Transition Systems. The key issues: Exponentiality, Destructive Interference, Measurement. (1)
Review of Linear Algebra. Complex Inner Product Spaces. Eigenvalues and Eigenvectors, Diagonalisation. Tensor Products. (3)
Pure Quantum Mechanics. Quantum states. Unitary Evolution. Observables, Operators and Commutativity. Measurement. Simple Systems. The No-Cloning theorem. The Qubit. (3)
Entanglement. Schrodinger's cat. EPR states. Bell and CHSH Inequalities. The GHZ Argument. Basis copying versus cloning. (1)
Computer Scientists and Joint CS and Maths: either Griffiths Chs 1-9 or Mermin Chs 1-4. Physicists, and Joint Maths and Phys: Brassard and Bratley Chs 1-4; other Mathematicians: either of the above. (2)
Basic quantum gates. Simple quantum algorithms. Quantum Teleportation. (3)
Examples Class (1)
Quantum Search (Grover's Algorithm). Quantum Fourier Transform. Phase estimation. Quantum Counting. (5)
Quantum Order Finding. Continued Fractions. Quantum Factoring (Shor's Algorithm). (3)
Examples classes will be arranged as required
Feedback is provided face to face or via email, in response to student queries regarding both the course exercises (5 formative exercise sheets with subsequently published answers) and the course material more generally.
- Lectures (24 hours)
- Analytical skills
- Problem solving
On successful completion of this unit, a student will be able to:
- Use a subset of linear algebra to express quantum concepts.
- Define concepts in quantum theory and be able to elicit the consequences of different quantum scenarios.
- Interpret and analyse simple quantum circuits.
|Quantum computing for computer scientists||Yanofsky, Noson S., 1967-||9780521879965||Cambridge University Press||2008.|
|Principles of quantum computation and information||Benenti, Giuliano.||9812388583||World Scientific||2004.|
|Quantum computation and quantum information||Nielsen, Michael A., 1974-||9781107002173||Cambridge University Press||2010.|
Course unit materials
Links to course unit teaching materials can be found on the School of Computer Science website for current students.