Capacity Approaching Coding for Low Noise Interactive Quantum Communication, Part I: Large Alphabets

January 09, 2020 Β· Declared Dead Β· πŸ› IEEE Transactions on Information Theory

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Authors Debbie Leung, Ashwin Nayak, Ala Shayeghi, Dave Touchette, Penghui Yao, Nengkun Yu arXiv ID 2001.02818 Category quant-ph: Quantum Computing Cross-listed cs.CC, cs.DS, cs.IT Citations 3 Venue IEEE Transactions on Information Theory Last Checked 5 months ago
Abstract
We consider the problem of implementing two-party interactive quantum communication over noisy channels, a necessary endeavor if we wish to fully reap quantum advantages for communication. For an arbitrary protocol with $n$ messages, designed for a noiseless qudit channel over a $\mathrm{poly}(n)$ size alphabet, our main result is a simulation method that fails with probability less than $2^{-Θ(nΡ)}$ and uses a qudit channel over the same alphabet $n\left(1+Θ\left(\sqrtΡ\right)\right)$ times, of which an $Ρ$ fraction can be corrupted adversarially. The simulation is thus capacity achieving to leading order, and we conjecture that it is optimal up to a constant factor in the $\sqrtΡ$ term. Furthermore, the simulation is in a model that does not require pre-shared resources such as randomness or entanglement between the communicating parties. Our work improves over the best previously known quantum result where the overhead is a non-explicit large constant [Brassard et al., FOCS'14] for low $Ρ$.
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