Quantum Shannon Theory: Coding for Quantum Channels
Quantum Shannon theory extends Shannon’s information theory to quantum channels: compression, capacities, coding and entanglement.
Entropy, channel capacity, teleportation, complexity classes and the theorems that define what quantum information can and cannot do.
155 articlesQuantum Shannon theory extends Shannon’s information theory to quantum channels: compression, capacities, coding and entanglement.
The Holevo bound, proved by Alexander Holevo in 1973, limits how much classical information can be read from qubits. Its statement and consequences.
Quantum relative entropy measures how distinguishable two states are and is never negative. Properties, uses and link to hypothesis testing.
Quantum mutual information measures total correlations between two subsystems, classical and quantum. Its definition, properties and uses.
Von Neumann entropy extends Shannon entropy to quantum states via the density matrix. Its definition, properties and uses in quantum information.
Quantum entropy measures uncertainty in a quantum state. Von Neumann entropy, its relation to classical entropy, and uses in physics and computing.
Quantum private information retrieval lets a user fetch data from a database without revealing which item was asked for. Protocols and limits.
Quantum information splitting distributes a quantum state among parties so that they must cooperate to recover it. Protocols and uses.
How to decide whether two quantum states, circuits or systems are equivalent, and the computational complexity of these problems.
Quantum graph homomorphisms extend graph homomorphisms using entangled strategies in non-local games. What they reveal about graph structure.
Lower bounds for quantum circuits prove how many gates or how much depth a task needs. Methods, known results and why they matter.
Why qubit connectivity limits quantum computers and networks: routing, swap overhead, entanglement distribution and network topologies.