Quantum Watermarking: Marking Quantum Data
Quantum watermarking embeds hidden marks in quantum data such as quantum images. Proposed techniques, their robustness and applications.
Quantum watermarking embeds hidden marks in quantum data such as quantum images. Proposed techniques, their robustness and applications.
Verifiable quantum secret sharing lets participants check that their shares are consistent. Threshold schemes, security and implementations.
Quantum authentication uses quantum states to verify identity or message integrity. Protocols, how they compare with classical ones and uses.
How quantum random number generator devices work, photonic and semiconductor designs, their entropy sources and uses in cryptography.
Discrete-variable QKD encodes bits in single-photon states such as polarization. The protocol steps, error rates, reconciliation and attacks.
Quantum secure function evaluation lets parties compute a function on private inputs using quantum protocols. How it works and its limits.
Quantum coin flipping lets two distrustful parties toss a fair coin remotely. Strong and weak protocols, their bias bounds and applications.
Quantum algorithmic probability extends Solomonoff’s universal prior and Kolmogorov complexity to quantum information. Ideas and uses.
Sampling problems such as boson sampling and random circuit sampling were used to demonstrate quantum advantage. Why they are hard classically.
The main kinds of quantum speedup: exponential, polynomial, provable and heuristic, with Shor’s and Grover’s algorithms as examples.
Multilinear systems and tensor equations in quantum computing: the algebra involved, tensor networks, circuits and uses in machine learning.
Quantum algorithms for linear systems, from HHL to later improvements: how they work, their caveats and applications in science and finance.