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Paper Citation Record · LEDGER

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2507.03714.

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

pith.paper-citation-record.v1
2507.03714 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:11:36.176763Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T01:18:30.124893Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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  • verified fuzzy36
  • unresolved6
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 438710b2-362b-4747-a133-46ecbfe93186 · outbound

This paper cites an unresolved cited work.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Unresolved cited work

Reference 1

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 47aa4308-07c4-488a-b894-9777f7ff1c01 · outbound

This paper cites an unresolved cited work.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Unresolved cited work

Reference 2

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Observation a2c348ba-5f8d-49b3-93f5-f850217e22c7 · outbound

This paper cites Thus, we get a total of 1+2(k−1)+1+1 = 2 k+1 C nX gates completing the proof.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Thus, we get a total of 1+2(k−1)+1+1 = 2 k+1 C nX gates completing the proof

Reference 3

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Observation c6ff61f4-cf1c-482e-bb2d-fc564bf26a39 · outbound

This paper cites In this case, k = 1 as the second term in the tensor product is I.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things In this case, k = 1 as the second term in the tensor product is I

Reference 4

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Observation ff0690f1-cfa2-4e55-8579-db0ba6d58e7c · outbound

This paper cites a0 X q0 X q1 I q2 I FIG.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things a0 X q0 X q1 I q2 I FIG

Reference 5

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Observation 9b7f4a08-8cf9-4b80-a23c-b2596843df81 · outbound

This paper cites Note that most significant bit corresponds to the ancilla qubit.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Note that most significant bit corresponds to the ancilla qubit

Reference 6

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Observation a1e61f23-8758-4402-a629-0bf4f72bbb0e · outbound

This paper cites The second permutation (r2 ↔ r′.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things The second permutation (r2 ↔ r′

Reference 7

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Observation 3f0e048a-1f6c-4844-bb69-ff00782e66b1 · outbound

This paper cites The target is always on the ancillaa0.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things The target is always on the ancillaa0

Reference 8

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Observation 94799164-d576-4957-8b20-616e8f355dbe · outbound

This paper cites Finally using the procotols defined in Lem 6, 7 and following the same analysis in the proof of Thm.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Finally using the procotols defined in Lem 6, 7 and following the same analysis in the proof of Thm

Reference 9

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Observation 8f44d0ef-0b68-4d4e-ab75-0e537c9b78ff · outbound

This paper cites This can be done using a single C nX gate by Lemma 1 as they differ by one bit.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things This can be done using a single C nX gate by Lemma 1 as they differ by one bit

Reference 10

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Observation 9b297c4d-c795-4116-9476-21bc652523f4 · outbound

This paper cites These rows differ by k bits and require 2( k − 1)+1 C nX gates by induction hypothesis.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things These rows differ by k bits and require 2( k − 1)+1 C nX gates by induction hypothesis

Reference 11

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Observation 6c2f1421-2a64-4dcd-b3fd-8c8002e26238 · outbound

This paper cites Ef- ficient variational quantum linear solver for structured sparse matrices.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Ef- ficient variational quantum linear solver for structured sparse matrices

Reference 12

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Observation 851085ef-dfdf-4840-8bd6-4cd91bd73e1a · outbound

This paper cites The variational quan- tum eigensolver: a review of methods and best practices.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things The variational quan- tum eigensolver: a review of methods and best practices

Reference 13

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Observation c144596c-5025-4aec-8a23-040ef0f5d801 · outbound

This paper cites Variational quantum linear solver.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Variational quantum linear solver

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 59699c7e-c270-4656-bf7a-455cd4492605 · outbound

This paper cites Qubitization of arbitrary basis quantum chem- istry leveraging sparsity and low rank factor- ization.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Qubitization of arbitrary basis quantum chem- istry leveraging sparsity and low rank factor- ization

Reference 15

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Observation 93e1ca36-48f0-4065-8e13-31a4b37307f8 · outbound

This paper cites Hamil- tonian simulation by qubitization.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Hamil- tonian simulation by qubitization

Reference 16

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Observation 1c0d66d0-fd63-4b30-b8d9-ba11ffdfa753 · outbound

This paper cites Quan- tum signal processing.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Quan- tum signal processing

Reference 17

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Observation df6614d4-80b0-424a-8a46-63a7ecb39fa6 · outbound

This paper cites Quantum singular value transformation and beyond: exponential im- provements for quantum matrix arithmetics.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Quantum singular value transformation and beyond: exponential im- provements for quantum matrix arithmetics

Reference 18

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Observation 869d633d-083b-4750-9eab-e444819d7ddf · outbound

This paper cites The theory of variational hybrid quantum-classical algo- rithms.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things The theory of variational hybrid quantum-classical algo- rithms

Reference 19

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Observation 1765015d-c931-4a33-b12a-0c76cdfd4e69 · outbound

This paper cites easy” to implement, i.e., simple unitaries with low- depth circuits, can be added to the Sigma ba- sis. This flexibility makes our approach truly a linear combination on “things.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things easy” to implement, i.e., simple unitaries with low- depth circuits, can be added to the Sigma ba- sis. This flexibility makes our approach truly a linear combination on “things

Reference 20

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Observation 2e50b3f2-6bae-4d1f-8a76-f174119c469c · outbound

This paper cites Application of fermionic marginal constraints to hybrid quantum algorithms.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Application of fermionic marginal constraints to hybrid quantum algorithms

Reference 21

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Observation 0b116337-d878-4036-a161-6dde0dc39a54 · outbound

This paper cites Predicting many properties of a quan- tum system from very few measurements.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Predicting many properties of a quan- tum system from very few measurements

Reference 22

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Observation bf30b98f-cb95-4cc1-94ef-ea7ca4515cb1 · outbound

This paper cites Precise mea- surement of quantum observables with neural- network estimators.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Precise mea- surement of quantum observables with neural- network estimators

Reference 23

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Observation 1b5dfeee-3d3d-4a65-a8c6-21ec7c9078f1 · outbound

This paper cites Variational quantum algorithm 22 for the poisson equation.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Variational quantum algorithm 22 for the poisson equation

Reference 24

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Observation a14b5e01-884d-4f9f-b8fe-44f0e317d5e0 · outbound

This paper cites Quan- tum computation and quantum information.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Quan- tum computation and quantum information

Reference 25

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Observation 4ecf5d0b-c3a7-4c6c-89fd-6692c3fb48de · outbound

This paper cites Tensorized pauli decomposi- tion algorithm.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Tensorized pauli decomposi- tion algorithm

Reference 26

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Observation b30bcd9f-c1c7-4208-810a-0e6378430ca9 · outbound

This paper cites Efficient quan- tum algorithm for dissipative nonlinear differ- ential equations.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Efficient quan- tum algorithm for dissipative nonlinear differ- ential equations

Reference 27

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Observation 2b5d878e-9a13-4db8-8ffe-94306a8f79b7 · outbound

This paper cites Po- tential quantum advantage for simulation of fluid dynamics.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Po- tential quantum advantage for simulation of fluid dynamics

Reference 28

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Observation 8ceec6b2-4ad4-48c3-bcf9-8d4ff888a852 · outbound

This paper cites Variational quantum solutions to the advection–diffusion equation for applications in fluid dynamics.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Variational quantum solutions to the advection–diffusion equation for applications in fluid dynamics

Reference 29

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Observation b159cacb-edc4-46dc-b841-c8935e6ee365 · outbound

This paper cites An efficient quantum algorithm for simulating polynomial dynamical systems.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things An efficient quantum algorithm for simulating polynomial dynamical systems

Reference 30

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Observation f822874f-d245-4e2f-b4bb-6e546491045b · outbound

This paper cites Variational quantum framework for nonlinear pde constrained optimization us- ing carleman linearization.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Variational quantum framework for nonlinear pde constrained optimization us- ing carleman linearization

Reference 31

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Observation 93526065-f240-49b7-829c-505b5592ac06 · outbound

This paper cites An efficient decomposition of the carleman linearized burgers’ equation.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things An efficient decomposition of the carleman linearized burgers’ equation

Reference 32

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Observation c9e057ec-c595-4908-ad82-ccfa0c88033a · outbound

This paper cites an unresolved cited work.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Unresolved cited work

Reference 33

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Observation 787a62ec-0a5f-4da9-9b14-0b8aa9b3ccbe · outbound

This paper cites Quantum circuit for multi-qubit Toffoli gate with optimal resource.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Quantum circuit for multi-qubit Toffoli gate with optimal resource

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:11:36.158938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:11:36.158938Z digest=sha256:a72d4f6a91ad6c9065fc5062b07f16c06393b0837f03f9389a5fd1bd17b5a990

Observation c72b564c-3783-4ab5-b2fd-013102d04fcb · outbound

This paper cites N-body interactions between trapped ion qubits via spin-dependent squeezing.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things N-body interactions between trapped ion qubits via spin-dependent squeezing

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:11:36.392046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:11:36.161498Z digest=sha256:4a61845a01398fbf103c756de5a682a4bbc81196a9fa4d1cd54b0703b202bd72

Observation 11035748-4f63-4ab3-8c7a-b64b6b3d8290 · outbound

This paper cites Lecture notes on quantum algorithms for scientific computation, 2022.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Lecture notes on quantum algorithms for scientific computation, 2022

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:11:36.385957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:11:36.163553Z digest=sha256:7e1dd4d37e25b02c9f9154da68be5d2e6b3e8bda5c934b29b976a13c54fe8b09

Observation 575bf85a-eba4-4ea7-bcc6-3504ff19e41a · outbound

This paper cites Fable: Fast approximate quantum circuits for block- encodings.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Fable: Fast approximate quantum circuits for block- encodings

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:11:36.379856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:11:36.165417Z digest=sha256:2c7a44c73f266d09d87b0b703cf629607c38ec73b83d0df84827e013826e306c

Observation d8024873-ea21-411d-a40e-7a14454a6e47 · outbound

This paper cites Explicit quantum circuits for block encodings of certain sparse matrices.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Explicit quantum circuits for block encodings of certain sparse matrices

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:11:36.373382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:11:36.167377Z digest=sha256:6d5ef42bea5b157555d8ca4d37a16678c3aefd387218b9e78a87586ec590bad8

Observation c156e3cd-1159-4d52-a232-bea4f8cc55bc · outbound

This paper cites Block-encoding structured ma- trices for data input in quantum computing.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Block-encoding structured ma- trices for data input in quantum computing

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:11:36.366744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:11:36.169225Z digest=sha256:5995cdea986d2b7eff9364a90562040334c7a127a1fb2036755c17129c3fa799

Observation 59ae6b43-9594-4c50-a464-380625dcd6d7 · outbound

This paper cites Quantum signal processing and singular value transformation: Lecture 1, 2023.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Quantum signal processing and singular value transformation: Lecture 1, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:11:36.360093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:11:36.171110Z digest=sha256:0c61229509e139d4274d6c2a8682806cbe46cfa5a418af5e9d465c9f00e5bed7

Observation 4e472312-fe76-455b-8a44-8a4dbe8014be · outbound

This paper cites Circuit com- plexity of quantum access models for encod- ing classical data.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Circuit com- plexity of quantum access models for encod- ing classical data

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:11:36.353126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:11:36.172947Z digest=sha256:b6590f379ab59a8477b1712588ee4ef8bedbee0e2cc4f685c2f2e2166bdf9d85

Observation 75a731f3-6fa2-4991-8d41-2f2cfd58a02e · outbound

This paper cites On unitary dilations of contrac- tions.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things On unitary dilations of contrac- tions

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:11:36.346346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:11:36.174799Z digest=sha256:5ebb26cde256df0b2982c6c781452d56120e97d5c36179d7ca223a7cad10ec5f

Observation 9c5a8082-bd97-4cde-b0c9-4373135e1ea3 · outbound

This paper cites Variational Quantum Framework for Partial Differential Equation Constrained Optimization.

Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things Variational Quantum Framework for Partial Differential Equation Constrained Optimization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:11:36.176763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:11:36.176763Z digest=sha256:e37941fa4346332e8b21876ad655e06e26d0c1f0fab45959744b2a7e24b9d918

Pith citing papers

Observation d6e471d7-39a4-452b-a25c-fc83ca4c8e39 · inbound

A Scalable Approach to Solve the Carleman Linearized Burgers' Equation on a Quantum Computer cites this paper.

A Scalable Approach to Solve the Carleman Linearized Burgers' Equation on a Quantum Computer Efficient Quantum Access Model for Sparse Structured Matrices using Linear Combination of Things

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-13T01:18:30.124893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:18:30.124893Z digest=sha256:357f1b496c8e9dd93b51a20a6ed60a7159e16947adbe804aa89f0e0b8d7fd91b