Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers | Paper Citation Record

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

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

Reference 2

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

Reference 10

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This paper cites Economou.

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

Reference 11

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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This paper cites Economou.

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

Reference 33

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

Reference 34

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

Reference 36

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

Reference 38

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

Reference 39

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

Reference 40

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

Reference 41

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

Reference 42

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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

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

Reference 44

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

Reference 45

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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

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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

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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

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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

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This paper cites Bishop, Jerry M.

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

Reference 50

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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

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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

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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

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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

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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

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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

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

Reference 57

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This paper cites an unresolved cited work.

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

Reference 58

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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

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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

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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

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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

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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

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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

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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 2026-08-15T06:32:42.880941+00:00.

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Outbound references

Pith citing papers