Lectures related to Computation with Tensor Networks

Covers the mechanisms behind quantum computation and explores the advantages of restricted computational models.

Covers quantum circuits, computation model, unitary inclusion, simulation, precision, qubits, and global aspects.

Covers the Deutsch and Deutsch-Jozsa algorithms in quantum computing, explaining the principles behind them and their implications.

Covers quantum computing basics, quantum algorithms, error correction, and quantum bit manipulation.

Explores quantum algorithms, their complexity, and applications in learning, highlighting key concepts and recent research findings.

Covers classical and quantum computational complexity concepts and implications.

Explores the Simon Problem 4, analyzing quantum states and algorithm complexity.

Explores recent progress in quantum computational advantage and discusses the challenges in achieving quantum supremacy.

Explores the quantum circuit model of computation, focusing on unitary gates and multi-controlled gates.

Explores communication complexity and quantum computation models in Distributed Quantum Computing.

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.