Computation with Tensor Networks

Related lectures (31)

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Explores the statistical physics of clusters, focusing on complexity and equilibrium behavior.

Introduces the course syllabus, grading scheme, and classical and quantum computation models.

Covers the Deutsch and Josza problem in quantum computation, focusing on boolean functions and oracles.

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Covers quantum information, computing, algorithms, error correction, and challenges in the field.

Covers classical single qubit Hamiltonian verification and quantum delegation protocols.

Covers the fundamentals of quantum computing, including qubit realization, scalable quantum computers, quantum communication, and quantum algorithms.

Explores quantum circuit modeling, approximations, unitary matrices, and measurement operations.

Explores Replica Symmetry Breaking in the Random Energy Model, focusing on entropy and probability states.

Explores classic circuits in quantum computing, including Boolean functions and reversible gates.