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Paper Citation Record · LEDGER

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2608.03987.

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

pith.paper-citation-record.v1
2608.03987 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:54:36.043624Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:51:25.550027Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:51:25.964969Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved30
  • parse uncertain0
  • malformed identifier2
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Outbound references

Observation 6f088db6-c48f-45d8-a566-4ddaa7e553fe · outbound

This paper cites Markov and Yaoyun Shi.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Markov and Yaoyun Shi

Reference 1

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source=pdf_text observed=2026-08-15T14:54:35.822714Z digest=sha256:cc58cee6747214ad000e61348ca26a60717d891e06327e07e35951a130aca937

Observation e1e82939-ca3b-4c65-b1fd-d662e2f5ecb2 · outbound

This paper cites A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware.npj Quantum Information, 5:86, 2019.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware.npj Quantum Information, 5:86, 2019

Reference 2

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source=pdf_text observed=2026-08-15T14:54:35.829079Z digest=sha256:63a76dca50503c5e8f3416a17c809f7f54ea8d7a5374bef3f07dd13b708c4b45

Observation 2ec079d0-6fcb-48ce-86d2-68d50f195f67 · outbound

This paper cites Hyper-optimized tensor network contraction.Quantum, 5:410, 2021.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Hyper-optimized tensor network contraction.Quantum, 5:410, 2021

Reference 3

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source=pdf_text observed=2026-08-15T14:54:35.835781Z digest=sha256:93c08d1f4ff6d5916f9b31967f7d77790b7981542f41cb3fc64ffdec60039679

Observation 6d8f26eb-f184-4c20-b323-166e91c3071a · outbound

This paper cites Solving the sampling problem of the Sycamore quantum circuits.Physical Review Letters, 129:090502, 2022.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Solving the sampling problem of the Sycamore quantum circuits.Physical Review Letters, 129:090502, 2022

Reference 4

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source=pdf_text observed=2026-08-15T14:54:35.840570Z digest=sha256:13e32c01de29e7003f6d6c5fa8a4a57eb1a86f75dcc202553e2313c81bd43031

Observation 68402330-1d27-43c9-8aa4-c8ac84b78c7c · outbound

This paper cites Quantum supremacy using a programmable superconducting processor.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Quantum supremacy using a programmable superconducting processor

Reference 5

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source=pdf_text observed=2026-08-15T14:54:35.846919Z digest=sha256:36b6f1014604b1f335d90a354bd562925f60ee3dd3c9a5772eaf9fe764cd1461

Observation c846559c-0d8f-46e5-9422-849aefa11451 · outbound

This paper cites an unresolved cited work.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-15T14:54:35.853327Z digest=sha256:cccb66ece035f1e6d4903ef1d7ff463266380a3feea778ebe3d2c1ac67d75e20

Observation db49718e-f3de-43c7-adfb-aa2a0f29f8fd · outbound

This paper cites Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores and Automatic Precision Selection.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores and Automatic Precision Selection

Reference 7

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source=pdf_text observed=2026-08-15T14:54:35.860397Z digest=sha256:92e6c6ee3b70cd5e64ab79c6731493c4b34f78154bd1a3dcd823b04a1adc02ee

Observation be503907-ec55-4cb5-9a1c-1e7480ee15c4 · outbound

This paper cites Simulation of quantum physics with Tensor Processing Units: brute-force computation of ground states and time evolution.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Simulation of quantum physics with Tensor Processing Units: brute-force computation of ground states and time evolution

Reference 8

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source=pdf_text observed=2026-08-15T14:54:35.868068Z digest=sha256:f3630b1e9b68bb2a6e9afbb34dab6431816f6ef0ff1124c4799b4cbac82f2e07

Observation 81a98a32-15ef-4704-a5a7-ba4d9aad22ec · outbound

This paper cites Simulation of quantum many-body dynamics with tensor processing units: Floquet prethermalization.PRX Quantum, 3:020331, 2022.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Simulation of quantum many-body dynamics with tensor processing units: Floquet prethermalization.PRX Quantum, 3:020331, 2022

Reference 9

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source=pdf_text observed=2026-08-15T14:54:35.873850Z digest=sha256:10011d993f3093c1bb42f4a5d255bce3f1f43dc48c15a312c01427ee7ec23b29

Observation 10ca2e23-7ebd-4de5-b88f-890327c7bf9b · outbound

This paper cites Density matrix renormalization group with tensor processing units.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Density matrix renormalization group with tensor processing units

Reference 10

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source=pdf_text observed=2026-08-15T14:54:35.885747Z digest=sha256:7c7dd8e96670b3163a727324ba99e45b19b1584b64f9055133ff99318640fa55

Observation b3183e60-8870-4d91-8d96-a0582ac9dc97 · outbound

This paper cites On multiplication of 2×2 matrices.Linear Algebra and its Applications, 4:381–388, 1971.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators On multiplication of 2×2 matrices.Linear Algebra and its Applications, 4:381–388, 1971

Reference 11

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source=pdf_text observed=2026-08-15T14:54:35.896273Z digest=sha256:b4d16718cb4623bd2a5d76d5df853675eb0c1aae999b869532a7dc32ff419dcf

Observation 77a6da70-92b5-44eb-b6a6-eef529cb7eba · outbound

This paper cites an unresolved cited work.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-15T14:54:35.904224Z digest=sha256:76a69dd945fffc35dda56011d064a6c9176e8f84c65f819e8d8b5f497ce75f20

Observation 310cbaf7-786a-413e-ab1b-a4956f5ae079 · outbound

This paper cites Van Zee and Tyler M.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Van Zee and Tyler M

Reference 13

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source=pdf_text observed=2026-08-15T14:54:35.918945Z digest=sha256:4d938b24337113af162a1b2a489ef9985c5ec799007cd42e15b68cf7d89ada7b

Observation dec99ef5-f9e6-4720-abb5-e5be9288754a · outbound

This paper cites A 2 rebit gate universal for quantum computing.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators A 2 rebit gate universal for quantum computing

Reference 14

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source=pdf_text observed=2026-08-15T14:54:35.926228Z digest=sha256:999fac61af3ba75e1b3756f13eb1a1b8c02147d3da9c8b2c014c2f0c1d58edda

Observation 0ca18d57-fb67-4896-9f41-68794fa40f32 · outbound

This paper cites Both Toffoli and controlled-NOT need little help to do universal quantum computing.Quantum Information and Computation, 3(1):84–92, 2003.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Both Toffoli and controlled-NOT need little help to do universal quantum computing.Quantum Information and Computation, 3(1):84–92, 2003

Reference 15

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source=pdf_text observed=2026-08-15T14:54:35.934527Z digest=sha256:353ec1a7ab193b02d18bdeea16d159995c83077f6871f40c31cc20d67c4881d5

Observation 832c362f-7a93-4885-915c-7d95ed31b837 · outbound

This paper cites A Simple Proof that Toffoli and Hadamard are Quantum Universal.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators A Simple Proof that Toffoli and Hadamard are Quantum Universal

Reference 16

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source=pdf_text observed=2026-08-15T14:54:35.942206Z digest=sha256:ea75b4f5351b9a89e0b59a39df83cdc2fe5c9ae0749e8593ea9333a46eb92421

Observation 6f797a75-d4c7-4fe3-87e5-ea7eb0f93459 · outbound

This paper cites Simulating quantum systems using real Hilbert spaces.Physical Review Letters, 102(2):020505, 2009.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Simulating quantum systems using real Hilbert spaces.Physical Review Letters, 102(2):020505, 2009

Reference 17

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source=pdf_text observed=2026-08-15T14:54:35.948860Z digest=sha256:94b9857c1d4834ae8d4603d355fb49d791538d4e7c22349393ced6b24116d56d

Observation c28384db-30ee-48d1-85c8-b057fe761e5f · outbound

This paper cites Quantum mechanics is *-algebras and tensor networks, 2020.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Quantum mechanics is *-algebras and tensor networks, 2020

Reference 18

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source=pdf_text observed=2026-08-15T14:54:35.954601Z digest=sha256:aa21495f712c54153cf17b919a28189303046112bb510073896e2531ce750fa1

Observation 7dce5b27-f7cc-4622-accf-d956287ee86f · outbound

This paper cites Tensor types and their use in physics.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Tensor types and their use in physics

Reference 19

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source=pdf_text observed=2026-08-15T14:54:35.960120Z digest=sha256:5f2badff9e2785947c7f3ad90531a887bfd2549ad560e65d73fbf6ae50edc1e7

Observation 8e405d8e-9433-4eac-804f-82a0a41a89a1 · outbound

This paper cites XLA: Compiling machine learning for peak performance, 2020.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators XLA: Compiling machine learning for peak performance, 2020

Reference 20

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source=pdf_text observed=2026-08-15T14:54:35.965478Z digest=sha256:e4f6d57250a866fd2c014769195f69fadcb9654c7db75d58684c1b4d35c9fe94

Observation bb3c9e8b-9166-446e-87ad-aaf5b0e52ae6 · outbound

This paper cites TVM: An automated end-to-end optimizing compiler for deep learning.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators TVM: An automated end-to-end optimizing compiler for deep learning

Reference 21

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source=pdf_text observed=2026-08-15T14:54:35.970221Z digest=sha256:b09b01782401699fa421b53a41117b450b647e929bb7d37dd1ec81dd964d0862

Observation 75c353ca-9ae8-4eaa-93c6-4b91f5f2e101 · outbound

This paper cites PyTorch 2: Faster machine learning through dynamic Python bytecode transformation and graph compilation.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators PyTorch 2: Faster machine learning through dynamic Python bytecode transformation and graph compilation

Reference 22

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source=pdf_text observed=2026-08-15T14:54:35.977544Z digest=sha256:f2e46f709c6b026127e97b84e572607d04b212be3b4e05d836f3abffe8d40a74

Observation ad6bd046-3074-413f-97fb-ba17271387bc · outbound

This paper cites Interacting quantum observables: categorical algebra and diagrammatics.New Journal of Physics, 13:043016, 2011.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Interacting quantum observables: categorical algebra and diagrammatics.New Journal of Physics, 13:043016, 2011

Reference 23

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source=pdf_text observed=2026-08-15T14:54:35.982477Z digest=sha256:4bf552a98d75607d65cd1ed2b49b6c3c39d434cbcaefeaff2594d84bf5865a78

Observation a0cfe4dd-837e-415b-a3c3-ecd8d391f66d · outbound

This paper cites Cambridge University Press, 2017.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Cambridge University Press, 2017

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T14:54:35.987172Z digest=sha256:a01f474e19acaf46ee8ceeeb2d247a41a953dba0e82db18eeaf43a35fe04e99b

Observation 26ca63c7-9490-4a57-afaa-015417583431 · outbound

This paper cites The complex gradient operator and the CR-calculus, 2009.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators The complex gradient operator and the CR-calculus, 2009

Reference 25

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T14:54:35.992261Z digest=sha256:19f5cbb81cc4fb04ea266a44e3c2ca350b23c74f86e150d3f003dc371b98ff64

Observation 3bdf8a5a-9191-4235-b03f-4bea7aae18ea · outbound

This paper cites Differentiable programming tensor networks.Physical Review X, 9:031041, 2019.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Differentiable programming tensor networks.Physical Review X, 9:031041, 2019

Reference 26

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source=pdf_text observed=2026-08-15T14:54:35.998017Z digest=sha256:adc093d67d8a4b28716956f4c67d394f2adcbbc1cda314accfaf895a3bfffece

Observation 55c16d13-c855-4e0e-84b5-cce8dfdad8a8 · outbound

This paper cites Automatic differentiation for complex valued SVD, 2019.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Automatic differentiation for complex valued SVD, 2019

Reference 27

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T14:54:36.003146Z digest=sha256:f646f7ad1c99336160a6c8094f643b03afb292122a2c49cba6ff160f6c0f1aa1

Observation d21b9c6c-d83d-41db-a711-714f9d7ad6fb · outbound

This paper cites Use and implementation of autodifferentiation in tensor network methods with complex scalars, 2019.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Use and implementation of autodifferentiation in tensor network methods with complex scalars, 2019

Reference 28

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source=pdf_text observed=2026-08-15T14:54:36.010133Z digest=sha256:7bdcc700d94e35567490efdc10ad595ab44eb485563641af2bab6be056d4894c

Observation 2d43e8a4-1de6-4c8d-bacf-737c5501016e · outbound

This paper cites Multi-Tensor Contraction for XEB Verification of Quantum Circuits.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Multi-Tensor Contraction for XEB Verification of Quantum Circuits

Reference 29

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source=pdf_text observed=2026-08-15T14:54:36.015212Z digest=sha256:5167e30b165a07e0e80075c334e0d5b89c00200bf37c0b447e33dd42bf42c328

Observation 93ffb12f-a1bf-4602-ad26-69d81367953b · outbound

This paper cites OMECO: One more einsum contraction order.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators OMECO: One more einsum contraction order

Reference 30

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source=pdf_text observed=2026-08-15T14:54:36.020348Z digest=sha256:49ef4d5d4c7e95933293ca15e13a5275a320ceeb4ef3a3bb585d46b7f2ca6ddf

Observation 733bb158-0c91-4f63-a29c-a5c13cca8be4 · outbound

This paper cites cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science

Reference 31

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source=pdf_text observed=2026-08-15T14:54:36.026030Z digest=sha256:2bc46f03fbe536e2c225528c868dc2fdba6439bc8add2b23a4e3701d3f321a86

Observation 551f2072-4963-4de0-a0f1-51876248e794 · outbound

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Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-15T14:54:36.032231Z digest=sha256:03aa9608fa5e96cab82f47d8f263e730395c0a6791f53c013b46c912b62b57c2

Observation ed4a0e6a-8592-4d1f-b762-0eaf5974ac0b · outbound

This paper cites Yao.jl: Extensible, efficient framework for quantum algorithm design.Quantum, 4:341, 2020.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Yao.jl: Extensible, efficient framework for quantum algorithm design.Quantum, 4:341, 2020

Reference 33

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source=pdf_text observed=2026-08-15T14:54:36.037533Z digest=sha256:afbf2edbdb30e3baf4a4b76c216fc9ecc3b7570b78b3990d44565eb182607337

Observation 712df557-d360-47f8-9246-bb9fa832f8dd · outbound

This paper cites Tensorcircuit: a quantum software framework for the NISQ era.Quantum, 7:912, 2023.

Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Tensorcircuit: a quantum software framework for the NISQ era.Quantum, 7:912, 2023

Reference 34

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source=pdf_text observed=2026-08-15T14:54:36.043624Z digest=sha256:21939ba5532eb82c11a5826b4ba4f40ebc10f4872880d2c608531befd9c15a81

Observation fa8f91f5-4492-46f6-b529-9d57b8d1107a · outbound

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Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators Unresolved cited work

Reference 1992

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source=pdf_text observed=2026-08-15T14:54:35.911974Z digest=sha256:2a60a60812b280a765b5070f6ddea05f179fb82028519d6724005e16196c5eb6

Pith citing papers

Observation 32138d69-4786-4baf-acb1-a5d9d758ea70 · inbound

Aicir: A Full-Stack Quantum Circuit Simulator with AscendNPU Support cites this paper.

Aicir: A Full-Stack Quantum Circuit Simulator with AscendNPU Support Realified tensor networks: quantum circuit simulation on real-valued matrix accelerators

Reference 9

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local_arxiv, observed 2026-08-11T11:51:25.969852Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:51:25.550027Z digest=sha256:ef80d225a82593beb40478d394964bc1b913a4cf737833869e2ed484b90fbfcc