Quantum Noise Simulation: Modelling Real Hardware
How noise in real quantum hardware is modeled and simulated, from noise channels to device-specific models, and how this guides error correction.
How noise in real quantum hardware is modeled and simulated, from noise channels to device-specific models, and how this guides error correction.
How information flows causally through quantum systems, the frameworks and graphs used to describe it, and the challenges posed by entanglement.
Transfer entropy measures directed information flow between systems. How a quantum version is defined and its uses in communication and networks.
Fidelity measures compared: Uhlmann, Jozsa and Bures versions, how they differ and where they are used in computing and metrology.
Quantum Rényi divergences form families, such as Petz and sandwiched, that generalize relative entropy. Properties and uses in security proofs.
Entanglement witnesses are observables that detect entanglement without full tomography. How they are built and used in experiments.
The no-broadcasting theorem extends no-cloning to mixed states: non-commuting states cannot be broadcast. Its statement, proof and uses.
The no-cloning theorem forbids copying an unknown quantum state, and its proof takes only a few lines of linear algebra. Proof and consequences.
What quantum entanglement is and what it is not: its history, Bell tests, applications, and why it cannot be used to send signals faster than light.
Quantum generative models such as quantum circuit Born machines learn to sample from probability distributions. How they work and their uses.
The superposition principle says any linear combination of quantum states is also a valid state. History, examples, experiments and uses.
The no-deleting theorem shows that one of two copies of an unknown quantum state cannot be deleted against the other. Meaning and consequences.