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Paper Citation Record · LEDGER

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers

As of 14 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2412.01038.

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

pith.paper-citation-record.v1
2412.01038 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:48:09.542006Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

63 of 63 outbound references displayed

  • verified exact2
  • verified fuzzy43
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01f2c8fa-6d14-473a-b04f-155ebea16bec · outbound

This paper cites A compiler for universal photonic quantum computers.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers A compiler for universal photonic quantum computers

Reference 1

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Observation daa07be6-91dd-4765-bdd9-20d99432c26d · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 2

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Observation 3d9c2c3e-d221-4a1a-81e0-00a709bad698 · outbound

This paper cites Graphical description of the action of local Clifford transformations on graph states.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Graphical description of the action of local Clifford transformations on graph states

Reference 3

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Observation 7dde25a2-d49f-4879-a804-c26a329e2dff · outbound

This paper cites Nielsen and Isaac L.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Nielsen and Isaac L

Reference 4

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Observation 6837a7fc-e638-41d6-922b-438de9612f51 · outbound

This paper cites Optimization of deterministic photonic graph state generation via local operations.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Optimization of deterministic photonic graph state generation via local operations

Reference 5

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Observation 55e480d7-ac7a-42d5-967b-0c6145071e30 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Playing Atari with Deep Reinforcement Learning

Reference 6

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Observation e5367429-1b12-4cb6-a7c1-987f59f34460 · outbound

This paper cites Rusu, Joel Veness, Marc G.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Rusu, Joel Veness, Marc G

Reference 7

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b3d7ef54-dde0-435d-98f5-8e1c10045c47 · outbound

This paper cites Economou, and Shuo Sun.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Economou, and Shuo Sun

Reference 8

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Observation 67ded3a9-20e6-4e5e-b0cb-a679c13e9332 · outbound

This paper cites Economou, and Edwin Barnes.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Economou, and Edwin Barnes

Reference 9

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Observation ab574583-e657-4f38-b4d0-e2bbd0f6e788 · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-12T04:48:09.332723Z digest=sha256:1f82a9bb91e01ec58ce2fd4b7c373251a82378dae84bf2034d1b846907470990

Observation 81350ebb-cfe6-44e9-b03a-6c6e1b4482cf · outbound

This paper cites Economou.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Economou

Reference 11

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Observation 7a25e275-7c5a-4520-a5a7-272ba44e47fb · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 12

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Observation 7e0cd6cc-f292-459b-a38e-154ef98e8518 · outbound

This paper cites Quantum-dot-based deterministic photon–emitter in- terfaces for scalable photonic quantum technology.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Quantum-dot-based deterministic photon–emitter in- terfaces for scalable photonic quantum technology

Reference 13

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Observation 3031e585-250d-4882-9c76-732a739f64d3 · outbound

This paper cites Economou, David Elkouss, Paul Hilaire, Liang Jiang, Hoi-Kwong Lo, and Ilan Tzitrin.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Economou, David Elkouss, Paul Hilaire, Liang Jiang, Hoi-Kwong Lo, and Ilan Tzitrin

Reference 14

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Observation a0927813-abb0-4036-b512-2ff9672d6440 · outbound

This paper cites Eisenberg, and Sophia E.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Eisenberg, and Sophia E

Reference 15

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Observation 2e8842ae-56fd-4c55-90eb-78bc0d68872d · outbound

This paper cites Kandel, Saeed Fallahi, Geoffrey C.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Kandel, Saeed Fallahi, Geoffrey C

Reference 16

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Observation 1d50baad-8653-4a99-b58a-f733b1d1f6a9 · outbound

This paper cites Ladd, Andrew Pan, John M.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Ladd, Andrew Pan, John M

Reference 17

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Observation 6d94d407-165d-4e62-b3e3-9230edf54f26 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Semi-Supervised Classification with Graph Convolutional Networks

Reference 18

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Observation 05315e5d-627b-4fad-b4cf-3a1a9848c7d3 · outbound

This paper cites Inductive representa- tion learning on large graphs.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Inductive representa- tion learning on large graphs

Reference 19

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Observation 4b060dcd-3c35-4e06-b9c2-212fcd792fdc · outbound

This paper cites Graph Attention Networks.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Graph Attention Networks

Reference 20

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Observation 6b5fb30c-19c4-43fb-9473-81b8028995f4 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers How Powerful are Graph Neural Networks?

Reference 23

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Observation 33ffc41f-8cb4-4594-8195-1975e603c63e · outbound

This paper cites Learning-based efficient graph similarity computation via multi-scale convolutional set matching.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Learning-based efficient graph similarity computation via multi-scale convolutional set matching

Reference 24

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Observation e9524410-9812-474b-a6af-8d44af922633 · outbound

This paper cites Graph matching networks for learning the similarity of graph structured objects.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Graph matching networks for learning the similarity of graph structured objects

Reference 25

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Observation 152898f1-1a6e-4619-8bcb-6107c95a31cf · outbound

This paper cites Cegma: Coordinated elas- tic graph matching acceleration for graph matching networks.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Cegma: Coordinated elas- tic graph matching acceleration for graph matching networks

Reference 26

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Observation 1d5216cb-420e-4bca-a70e-cd1a548e18a7 · outbound

This paper cites Combinatorial learning of graph edit distance via dynamic embedding.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Combinatorial learning of graph edit distance via dynamic embedding

Reference 27

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Observation 12ff16ef-c63a-4a30-a1e7-d20dd3cc614a · outbound

This paper cites Glsearch: Maxi- mum common subgraph detection via learning to search.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Glsearch: Maxi- mum common subgraph detection via learning to search

Reference 28

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source=pdf_text observed=2026-08-12T04:48:09.404064Z digest=sha256:3ed954ce4e23bf6edf13c52fd58798896c6844036cc37c9ceecb075c59e8039a

Observation a67dd1e2-7abd-4450-b2a9-15c853c2cfbb · outbound

This paper cites Challenges and opportunities in deep reinforcement learning with graph neural networks: A compre- hensive review of algorithms and applications.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Challenges and opportunities in deep reinforcement learning with graph neural networks: A compre- hensive review of algorithms and applications

Reference 29

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.407741Z digest=sha256:3d34e38290b94a1c9be1a7e243f15cebf600d74e81134408852bae49347caa90

Observation 12e83c14-6fb5-42a9-9f10-1408586ded25 · outbound

This paper cites Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning

Reference 30

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local_arxiv, observed 2026-08-12T04:48:09.625176Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ecbf59d8-1bf2-46b3-bf60-29e49cc47ee9 · outbound

This paper cites Review of performance metrics of spin qubits in gated semiconducting nanostructures.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Review of performance metrics of spin qubits in gated semiconducting nanostructures

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:48:09.415570Z digest=sha256:e0ad6d13fd8722aac04a63a7617597cc0da5f1025421a7c49ed66af3dbb89ab9

Observation 519b1a86-dde0-4433-be8a-74325a70faa0 · outbound

This paper cites Lindner and Terry Rudolph.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Lindner and Terry Rudolph

Reference 32

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.419070Z digest=sha256:01cf0041251d3dabeffc783df77d6119717fd0e11e4dcdd2254bb3f5bb63ea78

Observation e382239d-bc3c-4044-a182-f80aa58e3474 · outbound

This paper cites Economou.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Economou

Reference 33

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raw_fallback, observed 2026-08-12T04:48:10.074319Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 87ffb6a5-f1c4-4c24-b1c4-2e5b27d33a92 · outbound

This paper cites Economou.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Economou

Reference 34

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raw_fallback, observed 2026-08-12T04:48:10.062424Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.426422Z digest=sha256:f84937ed548aef53e384e77f9393082b9479b8d0b688eb4cb3c027ae85a1656b

Observation f20577f9-3f2e-4b36-9851-64165c939b68 · outbound

This paper cites Advances in low-loss, large-area, and multicore fibers.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Advances in low-loss, large-area, and multicore fibers

Reference 35

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raw_fallback, observed 2026-08-12T04:48:10.050527Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.430120Z digest=sha256:9bdd57668959b16eafb04886d4d78f2c1c5c9a6e830e78b4c358e6f067d20237

Observation 743ff6a3-5fd1-4cd3-9824-f08a4362c9e8 · outbound

This paper cites Economou.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Economou

Reference 36

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raw_fallback, observed 2026-08-12T04:48:10.038737Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.434737Z digest=sha256:a099a964af36d75e44096725fadea838ecad2723a87943c7e8312cd8ad05150a

Observation 96abdb80-43b8-4b80-b806-1a58233fd923 · outbound

This paper cites Huthmacher, R.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Huthmacher, R

Reference 37

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.438420Z digest=sha256:0be4793020f6599ede1ebda51d93a5bd749972129bb8579254398bd0d1a5a9e3

Observation 1233222a-5aad-4b0b-a187-63cd3adf3941 · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 38

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raw_fallback, observed 2026-08-12T04:48:10.014348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.442119Z digest=sha256:fb8797d6ef9b53fe44a3b5f0d5db948de2ea1de369233cb6a76d1388e9c15177

Observation f059991c-01fa-4ee0-bf27-e9c7f5efb35e · outbound

This paper cites Browne, and Hans J.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Browne, and Hans J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:10.001130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.445954Z digest=sha256:11f5dac363ec866c4f8f8cf99928e416a77e99a28bd6796e009540699b43c993

Observation 31e12b28-6f2e-40e2-99fe-ae20df581b50 · outbound

This paper cites Briegel, David E.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Briegel, David E

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.990026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.449674Z digest=sha256:cc954a354cf1fbad772972c7a556024891288679d351f66a4abc89ce4e3bb72a

Observation 74e13a27-7358-4f5b-a8f3-6df168163450 · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:48:09.978973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.453210Z digest=sha256:f6c2fe9939aef7c18f81cf3fd90aa17c6b064c345cfad564445cd2358a99f81f

Observation 6b009bdb-4fb1-46c3-8fde-7a5a6738122f · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:48:09.967555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.456679Z digest=sha256:03ea42e2487e5f9d233fa72b3056d38d110ba1ac25abf2a086fe4ff5bfa47ef5

Observation 069f455e-c214-446c-93e2-e70ca39a5a32 · outbound

This paper cites O’Brien, Akira Furusawa, and Jelena Vučković.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers O’Brien, Akira Furusawa, and Jelena Vučković

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.956538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.460352Z digest=sha256:a39dc9441b34710c39be828f91cbae6fd1d69596ccf78c267f833a054af666ff

Observation c09649e7-7bb6-4e78-9e90-8c9e902ce1f0 · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T04:48:09.464057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:48:09.464057Z digest=sha256:c491763e426607aa8407e31c1ab2b977e5210d7df0aa432a096b4ee696515d99

Observation dc9a44d2-3de0-47f5-94b9-5c0affce8d49 · outbound

This paper cites Parallelizing quantum circuits.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Parallelizing quantum circuits

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.938690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.467780Z digest=sha256:644c89f854134dacf32600d404c48b716b185cce60767e6f2de94539944dff68

Observation c9f494cf-4931-4093-a346-146d8a9d0aab · outbound

This paper cites Fusion-based quantum computation.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Fusion-based quantum computation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:10.188594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.471320Z digest=sha256:13e8909a940baee07840598267317aa48530f0e7d18ea353a839f18e04ca8654

Observation 5c08c691-29d1-4a80-a79a-0542bac3cf39 · outbound

This paper cites 3/4-efficient bell measurement with passive linear optics and unentangled ancillae.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers 3/4-efficient bell measurement with passive linear optics and unentangled ancillae

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.928730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.474700Z digest=sha256:11410179987c66a85b3850a30597ccc9a393d712c9b230a31856dcb67e6df879

Observation 4f19d0d1-e4e9-42dc-81c3-a4096e05c056 · outbound

This paper cites OneQ: A Compilation Framework for Photonic One-Way Quantum Computation.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers OneQ: A Compilation Framework for Photonic One-Way Quantum Computation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.917684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.478300Z digest=sha256:782cd79f62dc444204acaa3bc7022b33d59f9c9e7cd73d4f8b7218bbea156b7e

Observation bea8ba74-5475-42f6-9739-9d45bb02c5ba · outbound

This paper cites OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.906238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.481536Z digest=sha256:44228e27c503b5f78af8f7158b960d6d4ba081392b1f50a6a7cc636261750fff

Observation ee1b2794-a84a-402f-aabb-a22da9fde5f8 · outbound

This paper cites Bishop, Jerry M.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Bishop, Jerry M

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.894890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.485167Z digest=sha256:a433c55f5fb2fdc47daa3643b2c25ac652d3dad47690d03ca18356d9e358be33

Observation 29a3f9d3-e954-46e4-9609-453e20f445e9 · outbound

This paper cites An approximate Fourier transform useful in quantum factoring.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers An approximate Fourier transform useful in quantum factoring

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T04:48:09.488873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:48:09.488873Z digest=sha256:c96a43b6580875eff054a35b418788a9aec88f0c8c4ad54a292ddc8768c63438

Observation 4ff7813f-3716-4ec4-8e7a-d4f7c3b989a2 · outbound

This paper cites Bremner, Richard Jozsa, and Dan J.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Bremner, Richard Jozsa, and Dan J

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:10.177494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.492978Z digest=sha256:d6cb0742aea37db45a090c9ff12bd61981b0beaa0ba49cd06f93e46f8897f5ab

Observation 66c80587-4d65-40d2-b672-459176ff2322 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers A Quantum Approximate Optimization Algorithm

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T04:48:09.496559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:48:09.496559Z digest=sha256:99623f9eec6b05a763c78e5131969bd78e766cffe46eab0aeec54a0a0c9d448c

Observation d9d90508-f533-4760-99f3-a939a20a6ab3 · outbound

This paper cites Stair, Renke Huang, and Francesco A.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Stair, Renke Huang, and Francesco A

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.884221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.500593Z digest=sha256:915107106075188db4500297c4458a13323b41d96bc323fbaa44815e576ef3db

Observation d0eda9af-9497-4f31-a26f-5dc042436de6 · outbound

This paper cites Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.873626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.504435Z digest=sha256:cc593ece5b7d3995fd120ad6ac71692623779a24b5c41405410055ff1f0c8d41

Observation 2c253ac2-61fa-47c2-a6bf-b2823170a82b · outbound

This paper cites Olson, Matthias Degroote, Peter D.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Olson, Matthias Degroote, Peter D

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.861830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.508007Z digest=sha256:0b586a7b137375d990ae0397b5b9d9ee050c6f5b8583b089dd5cd2471a528e5c

Observation 2eee6f9d-b065-45b2-b41f-7f5e36cff8a9 · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:48:09.850667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.511489Z digest=sha256:b9b9c1fe6336a71b6dd1f90396aadbbc2a72604ad77b35c2d8eb7f019a5f78d0

Observation 52f50a84-7608-4e5c-b952-3806ae2aff15 · outbound

This paper cites an unresolved cited work.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:48:09.840179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.515015Z digest=sha256:9f3fde3597ca33a810c01d9e795f686310c9498005136ec2b59b3a4b158432bd

Observation e34f1634-7c79-4749-9ca8-c8c07a64de4d · outbound

This paper cites Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:48:09.581131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.518795Z digest=sha256:0596b0ee58fa124440db6e51a811f6b6e46b0aca92af58c9396673b0d9e9abd0

Observation 6ca936df-2e56-4da4-99a4-1a423fb32a3b · outbound

This paper cites Orchestrating Measurement-Based Quantum Computation over Pho- tonic Quantum Processors.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Orchestrating Measurement-Based Quantum Computation over Pho- tonic Quantum Processors

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.829244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.522982Z digest=sha256:bf7cbd18fc609b2b2734f59a92fc8af0789a5b8b1d88f3fd3cdba35fb997d880

Observation 8df9c4a5-b995-4f61-98ff-92d1c347a1b0 · outbound

This paper cites FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.818117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.526666Z digest=sha256:f1d29e9a1a5758d19c82b6e35f453a648bf0d637c385682d1361ccc658213e3e

Observation 52f2ad32-5a73-4ef8-9e45-de3c810f7911 · outbound

This paper cites Myers, Peter P.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Myers, Peter P

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.805850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.530253Z digest=sha256:a2027795c3c7b800126791dcce4415841fc8402ca79aefc6046fc90888fe1bcb

Observation cd2384de-7436-49e3-adbb-9d0bfedc6171 · outbound

This paper cites 3/4-efficient bell measurement with passive linear optics and unentangled ancillae.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers 3/4-efficient bell measurement with passive linear optics and unentangled ancillae

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.794286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.534054Z digest=sha256:a7847a0216d19462f30ca4b1c68ada84d34ad2c598e72863e16f216d4b8f43e7

Observation 790a7a26-4c1f-47ba-8e47-5b9b8ac625ce · outbound

This paper cites Optical fiber — Wikipedia, The Free Encyclopedia.

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers Optical fiber — Wikipedia, The Free Encyclopedia

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.782470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.538069Z digest=sha256:a6e5a67bb8e498802e9a050f74cda7017651215a2bb67a4f9cc72c84cb56ac42

Observation c4558abf-da2c-4350-a834-9dcc3dcaac6e · outbound

This paper cites [Online; accessed 21-November-2024].

Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers [Online; accessed 21-November-2024]

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:48:09.770591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:48:09.542006Z digest=sha256:fc4516cbb0960701eda2d9a09fc93f28ffd2850768886586a3da42b5bcb59b8b

Pith citing papers

No inbound Pith citation observations are available.