Paper Citation Record · LEDGER

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights

As of 11 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.02898.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.02898 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:13.335172Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact14
verified fuzzy5
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

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Outbound references

Observation c66696db-a425-4fc4-bd1b-cf2ec8f0a241 · outbound

This paper cites Hello quantum world! Google publishes landmark quantum supremacy claim.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Hello quantum world! Google publishes landmark quantum supremacy claim

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.744650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77e8d61c-ee73-473f-95ba-c4a00460a038 · outbound

This paper cites Algorithms for quantum computation: Discrete logarithms and factoring.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Algorithms for quantum computation: Discrete logarithms and factoring

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:12.185823Z

Source-reported events for the cited work

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Observation 7f567bbf-ad05-42a7-b964-423cf8740fac · outbound

This paper cites A fast quantum mechanical algorithm for database search.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights A fast quantum mechanical algorithm for database search

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:12.295031Z

Source-reported events for the cited work

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Observation e5e976db-e995-4930-9452-682692be9d23 · outbound

This paper cites Genetic quantum algorithm and its application to combinatorial optimization problem.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Genetic quantum algorithm and its application to combinatorial optimization problem

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:28:15.620138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d11feda-99b1-4c0f-8487-0ae6692b83b1 · outbound

This paper cites Quantum-inspired evolutionary algorithms: A survey and empirical study.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Quantum-inspired evolutionary algorithms: A survey and empirical study

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.705316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8adb124c-7437-493b-8b7c-a47a6414881f · outbound

This paper cites Circuit synthesis using particle swarm optimization.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Circuit synthesis using particle swarm optimization

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:28:15.523169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f6f541e9-4b04-42ba-b3c7-a8f988f00b59 · outbound

This paper cites A genetic algorithm for quantum circuit generation in openqasm.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights A genetic algorithm for quantum circuit generation in openqasm

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.604745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c71012e-49e7-403e-bde0-6ce5abaa7d21 · outbound

This paper cites Evolutionary technique for automated synthesis of electronic circuits.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Evolutionary technique for automated synthesis of electronic circuits

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:16.073136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1050f945-9f71-4ac2-8893-f26877231ce2 · outbound

This paper cites Anaconda: Simulation-based synthesis of analog circuits via stochastic pattern search.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Anaconda: Simulation-based synthesis of analog circuits via stochastic pattern search

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.488142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3eeb8cec-3b08-422b-96d9-01682513f360 · outbound

This paper cites Automated design of combinational logic circuits by genetic algorithms.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Automated design of combinational logic circuits by genetic algorithms

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.458199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6207dcc5-f84d-4a28-986f-e0b5d7cbe8fe · outbound

This paper cites Evolution of digital circuits using CUDA to determine the fitness function in genetic algorithm.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Evolution of digital circuits using CUDA to determine the fitness function in genetic algorithm

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.384968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fffb257-0d66-42ec-83eb-70bebc1e99e4 · outbound

This paper cites Particle swarm optimization: Basic concepts, variants and applications in power systems.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Particle swarm optimization: Basic concepts, variants and applications in power systems

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:28:15.294749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0745fcbf-5ad7-41c2-ab2c-8d7fa7902e18 · outbound

This paper cites Particle swarm optimization.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Particle swarm optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:13.029611Z

Source-reported events for the cited work

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Observation fdb6680e-04b5-41a2-b189-93e6c11644ed · outbound

This paper cites The particle swarm: Social adaptation of knowledge.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights The particle swarm: Social adaptation of knowledge

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:28:14.961585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 399767bf-045b-4827-a174-4a11b64173e5 · outbound

This paper cites Multiobjective particle swarm optimization for environmental/economic dispatch problem.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Multiobjective particle swarm optimization for environmental/economic dispatch problem

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:16.037946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10cd6dce-b201-454e-9153-a66801b0afae · outbound

This paper cites On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems

Reference 16

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.150872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 67a109cc-5402-4a3c-8848-a3f38af605c8 · outbound

This paper cites Analysis of evolutionary techniques for the automated implementation of digital circuits.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Analysis of evolutionary techniques for the automated implementation of digital circuits

Reference 17

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.034946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21553b6d-6b38-45e9-9722-b4abd13c09d3 · outbound

This paper cites an unresolved cited work.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:28:16.007971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5bc975f9-07bb-4423-a624-cb2e416bb9a1 · outbound

This paper cites Genetic algorithm based design of combinational logic circuits using universal logic modules.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Genetic algorithm based design of combinational logic circuits using universal logic modules

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T23:28:13.925730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fdda1302-a3d3-4f5b-8d92-ee3488a86363 · outbound

This paper cites [Online].

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights [Online]

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:15.990760Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bb74df18-dc73-4e89-b3a7-0acfa31e18e8 · outbound

This paper cites Hadamard type operations for qubits.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Hadamard type operations for qubits

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T23:28:13.794840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d920d2e4-3126-4266-be0c-eb8ac9b2af61 · outbound

This paper cites Both Toffoli and Controlled-NOT need little help to universal quantum computing.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Both Toffoli and Controlled-NOT need little help to universal quantum computing

Reference 22

Resolution: verified exact; doi, observed 2026-08-06T23:28:13.652256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f9162613-b4cc-4a46-8296-37e9b440169e · outbound

This paper cites Open Quantum Assembly Language.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Open Quantum Assembly Language

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:13.234946Z

Source-reported events for the cited work

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Observation a3a77ac0-4c84-48e1-88c0-eea0c90d67ea · outbound

This paper cites Random function.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Random function

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:15.964739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0489ec33-2e11-44e4-8819-021ea59d8a4b · outbound

This paper cites Particle swarm optimization - A survey.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Particle swarm optimization - A survey

Reference 25

Resolution: verified exact; doi, observed 2026-08-06T23:28:13.530150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18652cce-cb96-468a-9e28-5e9993a52883 · outbound

This paper cites Matplotlib — visualization with python.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Matplotlib — visualization with python

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:15.903138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6e7ab3c4-c361-484c-b71c-21cedc736da5 · outbound

This paper cites Particle swarm optimization with various inertia weight variants for optimal power flow solution.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Particle swarm optimization with various inertia weight variants for optimal power flow solution

Reference 27

Resolution: verified exact; doi, observed 2026-08-06T23:28:13.434946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0830013d-e822-4035-8d78-e099f9dec44c · outbound

This paper cites Available: https://doi.org/10.1016/j.epsr.2009.02.005.

Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights Available: https://doi.org/10.1016/j.epsr.2009.02.005

Reference 2024

Resolution: verified exact; doi, observed 2026-08-06T23:28:14.248328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.