Quantum Transfer Entropy Between Subsystems
Transfer entropy measures directed information flow between systems. How a quantum version is defined and its uses in communication and networks.
Transfer entropy measures directed information flow between systems. How a quantum version is defined and its uses in communication and networks.
The quantum Hamming bound limits the parameters of non-degenerate quantum codes. Its derivation, examples and implications for code design.
A catalogue of quantum error-correcting codes: principles, types, detection and correction mechanisms, implementation challenges and uses.
Quantum coding theory protects quantum information against noise. How quantum codes differ from classical codes, main families and uses.
Quantum error detection flags errors without correcting them. Syndrome measurement, detection codes and their role in fault-tolerant systems.
The main families of stabilizer codes compared: history, properties, encoding, recovery, fault tolerance, applications and limitations.
Fault-tolerant quantum computing and the threshold theorem: how codes, syndrome measurement and careful circuits keep errors from spreading.
How quantum LDPC codes are decoded and laid out in hardware, their performance compared with classical LDPC codes, and current research.
Quantum product codes combine smaller codes into larger ones. Their structure, encoding, decoding, performance and place among other codes.
The Gottesman-Knill theorem shows that Clifford circuits can be simulated efficiently on classical computers, and why stabilizer codes rely on it.
Quantum convolutional codes protect a continuous stream of qubits. Their history, encoding and decoding, performance and comparison with block codes.
Subsystem stabilizer codes add gauge qubits that do not store data, which simplifies measurements. Their structure and uses in fault tolerance.