Papers for

communication protocol engineers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Quantum methods enable efficient data compression with perfect retrieval

Optimal compression with quantum retrieval

Abstract: We consider the following data compression problem. Given a string $x \in \{0,1\}^m$ of Hamming weight at most $n$, compress it into a shorter string $y \in \{0,1\}^s$ so that any bit $x_i$ of $x$ can be retrieved without any error using at most $t$ quantum queries to the standard oracle encoding of $y$. If queries are allowed to be adaptive we show how optimal compression up to a logarithmic factor can be achieved. If the queries are required to be made non-adaptively, we show schemes whose space is optimal in its dependence on $m$ except for a logarithmic factor, and is at most quadratically worse when compared to the optimum in its dependence on $n$.

Mon 5 OctData Structures and AlgorithmsInformation RetrievalInformation Theory
The gist
This work looks at how to shrink a special type of data—a short string with mostly zeros—into a much smaller code. The twist is that you can still find out any specific original bit perfectly by looking at this compressed code only a few times with a quantum computer. The authors show that if the quantum queries can depend on previous answers, the compression is nearly as small as possible. Even if the queries have to be decided all at once, their method uses space efficiently in terms of the string’s length and the number of ones in it.
Open → 2610.06702v1

Systematic permutation codes correct multiple deletions efficiently

Order-Optimal Systematic Permutation Codes for Correcting t Deletions

Abstract: This paper investigates the construction of full-systematic permutation codes capable of correcting multiple deletions under two complementary models, namely symbol-invariant deletions (SIDs), where surviving symbol values are preserved, and permutation-invariant deletions (PIDs), where the surviving sequence is standardized to a permutation. For any fixed integer $t \ge 1$ and all sufficiently large message lengths $n$, our proposed encoders map any message permutation of length $n$ to a codeword by inserting distinct redundancy symbols while strictly preserving the sequence order of the original message symbols. The proposed constructions correct up to $t$ deletions using $7t-1$ redundancy markers for PIDs and $4t$ redundancy markers for SIDs, achieving redundancies of $(7t-1)\log n + O_t(1)$ bits and $4t\log n + O_t(1)$ bits, respectively. Both code families are uniformly constructible, encodable, and decodable in $n^{O(t)}$ time. The underlying framework stores an inner deletion-correcting syndrome in the relative positions of redundancy markers via an algebraic outer code based on integer moments and residual graph coloring. We further extend this framework to fixed-composition and strictly $λ$-regular multipermutations, proving that the PID and SID channels coincide whenever the common multiplicity satisfies $λ> t$.

Tue 29 SeptInformation Theory
The gist
Deleting parts of a sequence can cause problems when trying to recover the original information. The authors developed a way to add special markers to sequences so that even if multiple parts get deleted, the original order can still be figured out. Their method uses fewer extra symbols than before and works efficiently for large sequences. It applies to different types of deletions and special sequence patterns.
Open → 2609.37578v1