Quantum Information and Computation

Related lectures (30)

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Covers the postulates of Quantum Mechanics and examples with quantum bits, including observables and unitary matrices.

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

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

Covers quantum states, symmetries, fermions, and variational principles in quantum chemistry.

Explores quantum information, logic gates, and the Deutsch algorithm in quantum software engineering.

Covers the fundamental principles of quantum computing and unitary evolution in quantum systems.

Covers the principles of quantum simulation with cold atoms, including optical dipole potentials and Feshbach resonances.

Offers a crash course on quantum mechanics, emphasizing self-adjoint operators and quantum information.

Covers the stabilizer formalism and the concept of stabilizer codes.

Explores error correction in quantum computing, focusing on the Quantum Threshold Theorem and the significance of fault tolerance and logical qubits.