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Longxiang Yuan

dblp:412/3603 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 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 · 50% Automata and formal languages · 25% Algorithms and data structures · 25%

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

TopicWeightPapersLastEvidence papers
Algorithms and data structures
decision diagrams
0.912025
FeynmanDD: Quantum Circuit Analysis with Classical Decision Diagrams · CAV (4) 2025
Automata and formal languages
equivalence problem
0.912025
FeynmanDD: Quantum Circuit Analysis with Classical Decision Diagrams · CAV (4) 2025
Quantum computing and quantum information › quantum circuit
quantum circuit analysis
0.912025
FeynmanDD: Quantum Circuit Analysis with Classical Decision Diagrams · CAV (4) 2025
Quantum computing and quantum information
quantum circuit simulation
0.912025
FeynmanDD: Quantum Circuit Analysis with Classical Decision Diagrams · CAV (4) 2025

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

path integral formulation · 0.9counting algorithms · 0.9binary decision diagrams · 0.9
YearPublicationVenuePosition
2025 FeynmanDD: Quantum Circuit Analysis with Classical Decision Diagrams
abstract
Abstract Applications of decision diagrams in quantum circuit analysis have been an active research area. Our work introduces FeynmanDD, a new method utilizing standard and multi-terminal decision diagrams for quantum circuit simulation and equivalence checking. Unlike previous approaches that exploit patterns in quantum states and operators, our method explores useful structures in the path integral formulation, essentially transforming the analysis into a counting problem. The method then employs efficient counting algorithms using decision diagrams as its underlying computational engine. Through comprehensive theoretical analysis and numerical experiments, we demonstrate FeynmanDD’s capabilities and limitations in quantum circuit analysis, highlighting the value of this new BDD-based approach.
Longxiang Yuan, Zheng-Feng Ji
CAV (4)3