Computation with Tensor Networks

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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.