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Paper Citation Record · LEDGER

Speedup in Classical Simulation of Gaussian Boson Sampling

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.10070.

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

pith.paper-citation-record.v1
1908.10070 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:02:22.622186Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

34 of 34 outbound references displayed

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  • verified fuzzy19
  • unresolved7
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External citation measurements

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Outbound references

Observation 4be271f1-cdf3-4d45-8911-7b4cfe730aae · outbound

This paper cites The computational complexity of linear optics.

Speedup in Classical Simulation of Gaussian Boson Sampling The computational complexity of linear optics

Reference 1

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Observation 3530c667-680b-4b7a-93d6-abde3c5bb8a8 · outbound

This paper cites Complexity-theoretic foundations of quantum supremacy experiments.

Speedup in Classical Simulation of Gaussian Boson Sampling Complexity-theoretic foundations of quantum supremacy experiments

Reference 2

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Observation 215923ab-5b81-4ba3-9334-d2699e83a9a4 · outbound

This paper cites Using Gaussian Boson Sampling to Find Dense Subgraphs.

Speedup in Classical Simulation of Gaussian Boson Sampling Using Gaussian Boson Sampling to Find Dense Subgraphs

Reference 3

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Observation 442a888a-70e0-4405-bdd6-12d6d3df8b0e · outbound

This paper cites Molecular Docking with Gaussian Boson Sampling.

Speedup in Classical Simulation of Gaussian Boson Sampling Molecular Docking with Gaussian Boson Sampling

Reference 4

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Observation 2a2bbf2d-3c73-4ea7-bf7c-b2abcb27577c · outbound

This paper cites A faster hafnian formula for complex matrices and its benchmarking on a supercomputer.

Speedup in Classical Simulation of Gaussian Boson Sampling A faster hafnian formula for complex matrices and its benchmarking on a supercomputer

Reference 5

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Observation bc5b576b-6a37-4090-96aa-9fbf606ae71a · outbound

This paper cites Character- izing quantum supremacy in near-term devices.

Speedup in Classical Simulation of Gaussian Boson Sampling Character- izing quantum supremacy in near-term devices

Reference 6

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Observation 2ddd5126-0948-43e0-b07d-eaf14d23a375 · outbound

This paper cites Simulation of low-depth quantum circuits as complex undirected graphical models.

Speedup in Classical Simulation of Gaussian Boson Sampling Simulation of low-depth quantum circuits as complex undirected graphical models

Reference 7

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Observation 05d5b99c-2673-40ca-8d6b-8dd20750dbb7 · outbound

This paper cites Gaussian Boson Sampling for perfect matchings of arbitrary graphs.

Speedup in Classical Simulation of Gaussian Boson Sampling Gaussian Boson Sampling for perfect matchings of arbitrary graphs

Reference 8

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Observation 65e834be-aaef-4f30-ab96-8a0f05e7e7f6 · outbound

This paper cites Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy.

Speedup in Classical Simulation of Gaussian Boson Sampling Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy

Reference 9

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Observation 70f72723-9d4a-42e2-93b7-e58feb35cb81 · outbound

This paper cites Classical Simulation of Intermediate-Size Quantum Circuits.

Speedup in Classical Simulation of Gaussian Boson Sampling Classical Simulation of Intermediate-Size Quantum Circuits

Reference 10

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Observation 1949b4b7-abe3-4b16-a3a3-6492be2306b3 · outbound

This paper cites 64-qubit quantum circuit simulation.

Speedup in Classical Simulation of Gaussian Boson Sampling 64-qubit quantum circuit simulation

Reference 11

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Observation 6517608f-fefb-4888-82cd-34c36a61da5e · outbound

This paper cites The classical complexity of boson sampling.

Speedup in Classical Simulation of Gaussian Boson Sampling The classical complexity of boson sampling

Reference 12

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Observation 03aa6b6f-2e4a-448c-9329-fb6a5a2b1e77 · outbound

This paper cites The sunway taihu- light supercomputer: system and applications.

Speedup in Classical Simulation of Gaussian Boson Sampling The sunway taihu- light supercomputer: system and applications

Reference 13

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Observation edc2d573-8ce4-49f0-9ff2-b8aacfdd8b49 · outbound

This paper cites Introductory quantum optics.

Speedup in Classical Simulation of Gaussian Boson Sampling Introductory quantum optics

Reference 14

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Observation 4dc8b4da-684c-46cb-84bb-6cb71cac8ea4 · outbound

This paper cites Concrete mathematics: a foundation for computer science.

Speedup in Classical Simulation of Gaussian Boson Sampling Concrete mathematics: a foundation for computer science

Reference 15

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Observation 99230afb-af98-4066-8880-43fc960a0d7b · outbound

This paper cites Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer.

Speedup in Classical Simulation of Gaussian Boson Sampling Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer

Reference 16

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Observation d82372e9-9c60-46c4-aa84-24deb5bbb829 · outbound

This paper cites Hamilton, Regina Kruse, Linda Sansoni, Sonja Barkhofen, Christine Silber- horn, and Igor Jex.

Speedup in Classical Simulation of Gaussian Boson Sampling Hamilton, Regina Kruse, Linda Sansoni, Sonja Barkhofen, Christine Silber- horn, and Igor Jex

Reference 17

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Observation 8725928f-fcaa-4c75-9bad-8d96c00ae031 · outbound

This paper cites Quantum computational supremacy.

Speedup in Classical Simulation of Gaussian Boson Sampling Quantum computational supremacy

Reference 18

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dbe37176-eead-49ee-ac95-06a6a4153f52 · outbound

This paper cites Negative binomial regression.

Speedup in Classical Simulation of Gaussian Boson Sampling Negative binomial regression

Reference 19

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Observation bf806a19-a79a-4956-8deb-99fe7fd59e7a · outbound

This paper cites A detailed study of Gaussian Boson Sampling.

Speedup in Classical Simulation of Gaussian Boson Sampling A detailed study of Gaussian Boson Sampling

Reference 20

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Observation 262aabe3-7304-423a-a7d7-35384e2cc6fc · outbound

This paper cites Quantum Supremacy Circuit Simulation on Sunway TaihuLight.

Speedup in Classical Simulation of Gaussian Boson Sampling Quantum Supremacy Circuit Simulation on Sunway TaihuLight

Reference 21

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Observation e6c6983a-954c-4273-b366-f3017a704271 · outbound

This paper cites Boson sampling from a gaussian state.

Speedup in Classical Simulation of Gaussian Boson Sampling Boson sampling from a gaussian state

Reference 22

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Observation d42183a0-94b7-42f0-aa0f-3e6ebb086baa · outbound

This paper cites Classical boson sampling algorithms with superior performance to near-term experiments.

Speedup in Classical Simulation of Gaussian Boson Sampling Classical boson sampling algorithms with superior performance to near-term experiments

Reference 23

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Observation 0ee77397-ce2e-430a-8923-737e9e3a1200 · outbound

This paper cites Classical simulation of photonic linear optics with lost particles.

Speedup in Classical Simulation of Gaussian Boson Sampling Classical simulation of photonic linear optics with lost particles

Reference 24

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Observation 78602ff0-8a69-4223-9620-55c6e3316df5 · outbound

This paper cites Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction Deferral.

Speedup in Classical Simulation of Gaussian Boson Sampling Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction Deferral

Reference 25

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Observation 627b0309-4204-43c7-bb5a-a99831a87084 · outbound

This paper cites Gaussian boson sam- pling using threshold detectors.

Speedup in Classical Simulation of Gaussian Boson Sampling Gaussian boson sam- pling using threshold detectors

Reference 26

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Observation 6c8fa5b8-0bdc-462a-8929-b8e08c746113 · outbound

This paper cites Exact simulation of Gaussian Boson Sampling in polynomial space and exponential time.

Speedup in Classical Simulation of Gaussian Boson Sampling Exact simulation of Gaussian Boson Sampling in polynomial space and exponential time

Reference 27

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Observation e040c17b-4de8-4855-846b-b45d7322755f · outbound

This paper cites Noise in BosonSampling and the threshold of efficient classical simulatability.

Speedup in Classical Simulation of Gaussian Boson Sampling Noise in BosonSampling and the threshold of efficient classical simulatability

Reference 28

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local_arxiv, observed 2026-08-14T11:02:22.974233Z

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Observation b17bf97d-e2f4-478d-9214-97f3688201e7 · outbound

This paper cites Temporally unstructured quantum compu- tation.

Speedup in Classical Simulation of Gaussian Boson Sampling Temporally unstructured quantum compu- tation

Reference 29

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Observation 823d9eca-2cd7-4893-9090-abf3602c2bee · outbound

This paper cites Adaptive quantum computation, constant depth quantum circuits and arthur-merlin games.

Speedup in Classical Simulation of Gaussian Boson Sampling Adaptive quantum computation, constant depth quantum circuits and arthur-merlin games

Reference 30

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Observation b8b3da27-930f-420a-b7cd-70a4db1181cd · outbound

This paper cites The complexity of computing the permanent.

Speedup in Classical Simulation of Gaussian Boson Sampling The complexity of computing the permanent

Reference 31

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Observation 9d9ce4d2-1a8d-4bbb-8fdf-d6af682be59b · outbound

This paper cites The source code of classical sampling algorithm for gaussian boson sampling.

Speedup in Classical Simulation of Gaussian Boson Sampling The source code of classical sampling algorithm for gaussian boson sampling

Reference 32

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Observation 397859f6-f958-4faf-9741-201ad89af9a9 · outbound

This paper cites Suppose M1,M 2 are two perfect matchings of ( Ra,T a′,G e,e′) and ( Rθ,Tθ′,G b,b′) repectively.

Speedup in Classical Simulation of Gaussian Boson Sampling Suppose M1,M 2 are two perfect matchings of ( Ra,T a′,G e,e′) and ( Rθ,Tθ′,G b,b′) repectively

Reference 33

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Observation 67c307ea-4eb2-4336-b205-110ec8452ed0 · outbound

This paper cites an unresolved cited work.

Speedup in Classical Simulation of Gaussian Boson Sampling Unresolved cited work

Reference 34

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Pith citing papers

No inbound Pith citation observations are available.