Quantum Learning: Complexity and Predictive Models

Related lectures (31)

Covers the capacitive coupling of two qubits and its implications in quantum mechanics.

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

Explores projective quantum measurements, system-meter formulation, observable outcomes, and coupling between systems and meters.

Covers superconducting qubits, focusing on non-demolition measurements and control techniques essential for quantum computing.

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

Covers advancements in photonic links for Rydberg atom arrays in quantum networking.

Covers the basics of quantum computing, focusing on NISQ and IBM Q, including qubits, superposition, and quantum information processing.

Explores probability in Quantum Mechanics, focusing on measurement outcomes and the role of consciousness in determining perceptions.

Covers the implementation of a Bell test protocol using superconducting qubits to demonstrate quantum entanglement over a distance of 30 meters.

Covers quantum computing, simulation, sensing, and communications, highlighting EPFL's role in quantum science and engineering.

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