Dr Ian McCulloch
ARC Future Fellow
|Computational quantum many-body physics||
Suitable for: Requires a background in: intermediate-level quantum mechanics (bra and ket notation, basic notions of 2nd quantization); statistical mechanics; condensed matter physics.\
Project description: Tensor Networks provide a representation of a...
|Tensor network methods for computational quantum many-body problems Primary Supervisor: Dr Ian McCulloch||
Suitable for: Requires a background in: intermediate-level quantum mechancis (bra and ket notation, basic notions of 2nd quantization); basic linear algebra, including matrices, eigenvalues; working knowledge of a computer programming language (such as Matlab, Phython, C,...
|Tensor Network / Matrix Product State methods for computational quantum many-body problems||
Tensor Networks provide a representation of a quantum many-body wave-function (or a classical partition function) that is suitable for computational methods, mainly for low-dimensional problems (1D and 2D). The most mature branch of tensor networks is known as Matrix Product States (MPS), also...