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This paper proposes a quantum key-agreement scheme (the QCT model, built on time-lock encryption and a noisy-quantum-storage assumption) and gives bounds on what an eavesdropper can learn from immediate measurements. It is theoretical: the security claims rest on explicitly stated assumptions, and the practical value depends on whether those assumptions hold in real hardware. Readers interested in quantum-secure communications should focus on the storage-noise assumption and the key-rate analysis, not on the headline claim of "everlasting" security.
Everlasting secure key agreement from a quantum computational hybrid security model
arXiv:2004.10173v2 Announce Type: replace Abstract: We introduce the Quantum Computational Timelock (QCT) model, combining time-lock encryption with a quantitative noisy-quantum-storage assumption. Time-lock encryption gives Bob immediate access to the encoding seed and gives Eve the same final information as access to that seed only after a protected interval. Eve may then process her retained information without computational restriction. We state this delayed-access encryption assumption explicitly and construct MUB-QCT from a complete set of mutually unbiased bases in dimension $d$ and an affine pair-wise independent permutation family. For single-copy encoding, every seed-independent immediate measurement has trace-distance advantage at most $1/(2\sqrt{d+1})$ and mutual information at most $1/(d+1)$. Effective residual storage at diamond distance at most $\delta$ from replacement adds at most $\delta$ to the individual-attack distinguishing bound. Under i.i.d. individual attacks and entropy-preserving acceptance, we obtain an asymptotic key-rate bound and formulate final-key secrecy in composable trace distance. For $m$ independently randomized signals sharing one bit and seed, the optimal leakage under non-adaptive product measurements is $\min\{1,m/(d+1)\}$, allowing a linear-in-$d$ detection enhancement in that attack model. We also construct a seed-independent joint measurement that recovers the bit after disclosure with error at most $\varepsilon$ from $O(\log d+\log(1/\varepsilon))$ signals, retaining only classical information after measurement. This gives a quantitative separation between product and joint measurements. Bob uses two logical detection outcomes independently of $d$.
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