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Brad Lackey

dblp:184/0188 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0002-3823-8757ORCID · reported

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

Theory of computation · 2 · 2 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
2 papers
Quantum computing and quantum information · 61% Coding theory · 39%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information
quantum error correction
1.622025
Quantum Circuit Tensors and Enumerators With Applications to Quantum Fault Tolerance · IEEE Trans. Inf. Theory 2025
Quantum Weight Enumerators and Tensor Networks · IEEE Trans. Inf. Theory 2024
Emerging computing paradigms
quantum computer architecture
0.912025
Quantum Circuit Tensors and Enumerators With Applications to Quantum Fault Tolerance · IEEE Trans. Inf. Theory 2025
Coding theory › error-correcting codes › weight distribution
macwilliams identity
0.812024
Quantum Weight Enumerators and Tensor Networks · IEEE Trans. Inf. Theory 2024
Quantum computing and quantum information › quantum error correction
quantum weight enumerator
0.812024
Quantum Weight Enumerators and Tensor Networks · IEEE Trans. Inf. Theory 2024
Coding theory › error-correcting codes
weight distribution
0.812024
Quantum Weight Enumerators and Tensor Networks · IEEE Trans. Inf. Theory 2024

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

tensor network methods · 0.8
YearPublicationVenuePosition
2025 Quantum Circuit Tensors and Enumerators With Applications to Quantum Fault Tolerance
Alon Kukliansky, Brad Lackey
IEEE Trans. Inf. Theory2
2024 Quantum Weight Enumerators and Tensor Networks
abstract
We examine the use of weight enumerators for analyzing tensor network constructions, and specifically the quantum lego framework recently introduced. We extend the notion of quantum weight enumerators to so-called tensor enumerators, and prove that the trace operation on tensor networks is compatible with a trace operation on tensor enumerators. This allows us to compute quantum weight enumerators of larger codes, such as the ones constructed through tensor network methods, more efficiently. We also provide a general framework for quantum MacWilliams identities that includes tensor enumerators as a special case.
ChunJun Cao, Brad Lackey
IEEE Trans. Inf. Theory2