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Pin-Chieh Tseng

dblp:315/9246 · DBLP profile ↗
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4ranked-venue papers
2as first author
4since 2021 · last 2024
0000-0003-1112-5127ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021Security and privacy · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Quantum computing and quantum information · 75% Mathematical optimization · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information › quantum error correction
codeword stabilized codes
0.812024
Semidefinite Programming Bounds on the Size of Entanglement-Assisted Codeword Stabilized Quantum Codes · IEEE Trans. Inf. Theory 2024
Quantum computing and quantum information › quantum error correction
quantum code bounds
0.812024
Semidefinite Programming Bounds on the Size of Entanglement-Assisted Codeword Stabilized Quantum Codes · IEEE Trans. Inf. Theory 2024
Quantum computing and quantum information
quantum error correction
0.812024
Semidefinite Programming Bounds on the Size of Entanglement-Assisted Codeword Stabilized Quantum Codes · IEEE Trans. Inf. Theory 2024
Mathematical optimization
semidefinite programming
0.812024
Semidefinite Programming Bounds on the Size of Entanglement-Assisted Codeword Stabilized Quantum Codes · IEEE Trans. Inf. Theory 2024

Methods — techniques the papers use, named apart from their topics

shor-laflamme weight enumerator · 0.8semidefinite programming · 0.8distance enumerator · 0.8
YearPublicationVenuePosition
2024 Upper Bounds on the Size of Entanglement-Assisted Codeword Stabilized Codes Using Semidefinite Programming
abstract
In this paper, we explore the application of semidef-inite programming to the realm of quantum codes, specifically focusing on codeword stabilized (CWS) codes with entanglement assistance. Notably, we utilize the isotropic subgroup of the CWS group and the set of word operators of a CWS-type quantum code to derive an upper bound on the minimum distance. Furthermore, this characterization can be incorporated into the associated distance enumerators, enabling us to construct semidefinite constraints that lead to SDP bounds on the minimum distance or size of CWS-type quantum codes. We illustrate several instances where SDP bounds outperform LP bounds.
Ching-Yi Lai, Pin-Chieh Tseng, Wei-Hsuan Yu
ISIT2
2024 Semidefinite Programming Bounds on the Size of Entanglement-Assisted Codeword Stabilized Quantum Codes
abstract
In this paper, we explore the application of semidefinite programming to the realm of quantum codes, specifically focusing on codeword stabilized (CWS) codes with entanglement assistance. Notably, we utilize the isotropic subgroup of the CWS group and the set of word operators of a CWS-type quantum code to derive an upper bound on the minimum distance. Furthermore, this characterization can be incorporated into the associated distance enumerators, enabling us to construct semidefinite constraints that lead to SDP bounds on the minimum distance or size of CWS-type quantum codes. We illustrate several instances where SDP bounds outperform LP bounds, and there are even cases where LP fails to yield meaningful results, while SDP consistently provides tighter and relevant bounds. Finally, we also provide interpretations of the Shor-Laflamme weight enumerators and shadow enumerators for codeword stabilized codes, enhancing our understanding of quantum codes.
Ching-Yi Lai, Pin-Chieh Tseng, Wei-Hsuan Yu
IEEE Trans. Inf. Theory2
2023 Semidefinite programming bounds for binary codes from a split Terwilliger algebra
Pin-Chieh Tseng, Ching-Yi Lai, Wei-Hsuan Yu
Des. Codes Cryptogr.1
2022 Improved semidefinite programming bounds for binary codes by split distance enumerations
abstract
We study the maximum size of a binary code A(n, d) with code length n and minimum distance d. Schrijver studied the Terwilliger algebra of the Hamming scheme and proposed a semidefinite program to upper bound A(n, d). We derive additional semidefinite constraints based on a split Terwilliger algebra so that Schrijver’s semidefinite programming bounds on A(n, d) can be improved. In particular, we show that A(18, 4) ≤ 6551 and A(19, 4) 13087.
Pin-Chieh Tseng, Ching-Yi Lai, Wei-Hsuan Yu
ISIT1