Quantum Markov Chains and Conditional Independence
Quantum Markov chains describe memoryless quantum processes and states with conditional independence. Their structure and applications.
Quantum Markov chains describe memoryless quantum processes and states with conditional independence. Their structure and applications.
Squashed entanglement is an entanglement measure with useful properties such as additivity and monogamy. Its definition and applications.
Strong subadditivity, proved by Lieb and Ruskai in 1973, is the key inequality of quantum entropy. Its statement, proof ideas and uses.
Subadditivity says the entropy of a whole is at most the sum of its parts. How it works for quantum systems and what entanglement changes.
The quantum asymptotic equipartition property says that many copies of a state concentrate on a typical subspace. Why it underlies compression.
The no-cloning theorem forbids copying an unknown quantum state, and its proof takes only a few lines of linear algebra. Proof and consequences.
Decoherence is the loss of quantum behavior through interaction with the environment. Causes, time scales, experiments and mitigation.
Quantum Markov models and hidden quantum Markov models describe processes with quantum states. Transitions, inference and applications.
Quantum Stein’s lemma sets the optimal error exponent for telling two quantum states apart, given by the quantum relative entropy.
Entropic uncertainty relations express the uncertainty principle with entropies instead of standard deviations. Their forms, tests and uses.
Divergences between quantum states, including relative entropy, fidelity, trace distance and Jensen-Shannon divergence, and where each is used.
Rényi entropies generalize Shannon and von Neumann entropy with a parameter alpha. Definitions, properties and uses in entanglement studies.