Paper Citation Record · LEDGER

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization

As of 9 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2603.13160.

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

pith.paper-citation-record.v1
2603.13160 v2

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measured 68 of 68 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T18:17:31.207671Z

measured 69 of 69 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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Source: paper_references, paper_reference_links, observed 2026-08-08T15:33:58.103988Z

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Source: pith, observed 2026-08-08T15:34:00.282300Z

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Outbound references

Observation cf47b233-aaa0-46ad-98fb-7f96d7c20ac2 · outbound

This paper cites In addition, it can be sparse or dense, but the accuracy of the final eigenvalue(s) depends on the matrix’s density.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization In addition, it can be sparse or dense, but the accuracy of the final eigenvalue(s) depends on the matrix’s density

Reference 1

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Observation e85d439c-4143-4784-8a82-0d0680796a0c · outbound

This paper cites This means that the approach is agnostic to the type of quantization used to construct the Slater de- terminants (see below), i.e, first- or second-quantization.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization This means that the approach is agnostic to the type of quantization used to construct the Slater de- terminants (see below), i.e, first- or second-quantization

Reference 2

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 3

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Observation 5852f2aa-737a-4a1a-b290-26af2a626256 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 4

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Observation 7f3ebf9e-1643-45cb-b4cd-e9aa0386ef96 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 5

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Observation a5c9d23b-ca72-46a2-b8e1-3dd3da9e5849 · outbound

This paper cites An active-space is created when Slater determinants are built using a specified set of orbitals,y, and ac- tive electrons,x, instead of using the full Hilbert space.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization An active-space is created when Slater determinants are built using a specified set of orbitals,y, and ac- tive electrons,x, instead of using the full Hilbert space

Reference 6

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Observation c2175033-9e46-4736-8a7b-2f4b065b2104 · outbound

This paper cites This algorithm works in two stages.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization This algorithm works in two stages

Reference 7

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Observation eed67c10-dc92-460a-81b9-e0505bdf2a1b · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 8

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Observation 39817a72-f5fc-44fa-aa01-681db5fc9245 · outbound

This paper cites In this algorithm, the CIM is decomposed into a sum of one-sparse Hamiltonians, each of which contains a single molecular integral.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization In this algorithm, the CIM is decomposed into a sum of one-sparse Hamiltonians, each of which contains a single molecular integral

Reference 9

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Observation 0314cfa3-b14c-4ce5-a66d-b74404a2c3ab · outbound

This paper cites These are used to construct a subspace-Hamiltonian (see Section II E).

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization These are used to construct a subspace-Hamiltonian (see Section II E)

Reference 10

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Observation 3553a33f-63ea-4da6-9bf7-5f544e511154 · outbound

This paper cites The set of sampled CSF,S, then undergoes the bit-flip mitigation post-selection process described above.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization The set of sampled CSF,S, then undergoes the bit-flip mitigation post-selection process described above

Reference 11

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Observation 29917247-2876-4b4f-a0b9-16d849730cee · outbound

This paper cites The algorithm has the following steps:.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization The algorithm has the following steps:

Reference 12

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Observation fb0b06d7-5f23-47f8-9746-f995b21805c7 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 13

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Observation 9cb7bd76-f5d9-4142-afe1-0c88b92733d7 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 14

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Observation 45be24ec-10b5-4876-bc49-51ea972f5419 · outbound

This paper cites The term vis a user-defined variance factor which relaxes the acceptance criteria if desired.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization The term vis a user-defined variance factor which relaxes the acceptance criteria if desired

Reference 15

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Observation e23db20a-f8a5-4ae6-95c3-237deb6cb0a2 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 16

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Observation ea100642-f250-4422-a018-cee10418b97a · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 17

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Observation bfad17f4-4ac4-4c74-aac8-79beb292afc2 · outbound

This paper cites Note that the final subspace Hamiltonian is still constructed in double- precision so that the final eigenvalues inherit this higher level of precision.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Note that the final subspace Hamiltonian is still constructed in double- precision so that the final eigenvalues inherit this higher level of precision

Reference 18

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Observation 317d7df7-f5d7-4f30-8086-f1417db954bd · outbound

This paper cites In addition, this approach results in a lower gate count than full Trotterization which can easily become intractable.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization In addition, this approach results in a lower gate count than full Trotterization which can easily become intractable

Reference 19

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Observation ddd5267d-5e40-4de6-93c0-98199731d505 · outbound

This paper cites Piccinelli, A.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Piccinelli, A

Reference 20

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Observation 5bd482af-1d07-43b7-ac87-c6ce70c8e2df · outbound

This paper cites Quantum Chemistry in the Age of Quantum Computing.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Quantum Chemistry in the Age of Quantum Computing

Reference 21

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Observation ecd06de5-f594-435b-9347-1cf63c7e3ccb · outbound

This paper cites Bauer, S.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Bauer, S

Reference 22

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Observation 401d409a-92aa-4f2d-ad73-9e46a33f9e26 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 23

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Observation 44318865-ee56-49f0-b3ea-876e822ef2f7 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 24

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Observation b7d17e75-54a4-4afd-962b-a776a493f82f · outbound

This paper cites Peruzzo, J.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Peruzzo, J

Reference 25

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Observation ce66a9c8-cdb7-4c18-8ba6-ebe2ea41181c · outbound

This paper cites Kandala, A.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Kandala, A

Reference 26

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Observation 95a69d64-76b2-48e6-8fdd-63a7c10a8102 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 27

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Observation 945bf0cc-0830-4211-8ded-52596da38e93 · outbound

This paper cites Larocca, S.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Larocca, S

Reference 28

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Observation e4d1218b-fc3c-40f8-b2cd-5122fc3cd72d · outbound

This paper cites Cerezo, A.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Cerezo, A

Reference 29

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Observation c1afc49e-3548-4d3e-b3a8-e1b150a7f4be · outbound

This paper cites Takagi, S.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Takagi, S

Reference 30

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Observation af5500ef-f144-480f-9c72-4298f8905742 · outbound

This paper cites Tilly, H.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Tilly, H

Reference 31

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Observation 2c5dd90b-ec07-477d-80eb-856e775e0e2b · outbound

This paper cites Yang, B.-N.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Yang, B.-N

Reference 32

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Observation 92954ba1-5211-4eb8-9eb3-9c98eb476805 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 33

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Observation f4367674-a145-49b2-89a0-47d940d975d6 · outbound

This paper cites Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers

Reference 34

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Observation 6f0d45da-dfac-469d-be03-6958aa9821fe · outbound

This paper cites Sugisaki, S.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Sugisaki, S

Reference 35

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Observation 82bea673-91f6-49bb-9a9f-4f36efa2786f · outbound

This paper cites Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer

Reference 36

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Observation a3ea5da8-93f9-4fda-b13c-a491a7745ac8 · outbound

This paper cites Quantum-centric computation of molecular excited states with extended sample-based quantum diagonalization.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Quantum-centric computation of molecular excited states with extended sample-based quantum diagonalization

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-02T18:18:23.150340Z

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Observation 066fc150-3d2e-48c8-bb17-2ee15ec88fef · outbound

This paper cites Accurate quantum-centric simulations of supramolecular interactions.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Accurate quantum-centric simulations of supramolecular interactions

Reference 38

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Observation 4100a572-2ab1-4cc7-9a25-f0de6c450221 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 39

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Observation 6dec9c56-dd02-4110-a93a-80a6f2847ce5 · outbound

This paper cites Richer, G.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Richer, G

Reference 40

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Observation 673fc7b1-55ea-4a1b-9748-fbf32f824c8d · outbound

This paper cites Shajan, D.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Shajan, D

Reference 41

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Observation d505eb15-0f99-4b9f-ac6c-e62c27c642a1 · outbound

This paper cites Danilov, J.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Danilov, J

Reference 42

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Observation 376150d9-2a02-4b49-a170-f9db4600279d · outbound

This paper cites Kaliakin, A.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Kaliakin, A

Reference 43

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Observation 547a1101-1e68-4337-b0ed-a3a0497a30a0 · outbound

This paper cites This underscores the fact that our CIM-QS(H)CI methods achieve similar or better accuracy with fewer quantum resources.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization This underscores the fact that our CIM-QS(H)CI methods achieve similar or better accuracy with fewer quantum resources

Reference 44

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Observation 6a14cf9a-b899-417f-bd6e-7e4180aedbe0 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 45

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Observation 17533c13-bf88-47db-9f5d-19270d2625fc · outbound

This paper cites Quantum Algorithms for Quantum Chemistry based on the sparsity of the CI-matrix.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Quantum Algorithms for Quantum Chemistry based on the sparsity of the CI-matrix

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-02T18:18:22.904847Z

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Observation 49c0e956-93cf-4f91-a6dd-e41c23c186d8 · outbound

This paper cites Babbush, D.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Babbush, D

Reference 47

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Observation cd86b654-ae07-4e69-b3e2-f9815e89876a · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 48

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Observation 3a064205-afe3-4658-b7fd-c202b75da9fb · outbound

This paper cites Campbell, Random compiler for fast hamiltonian sim- ulation, Physical Review Letters123, 070503 (2019).

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Campbell, Random compiler for fast hamiltonian sim- ulation, Physical Review Letters123, 070503 (2019)

Reference 49

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Observation 7783e6f1-5168-44f3-a1fc-e8b0b944c474 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 50

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Observation 28870b02-428e-45ca-b42f-0d5044611c0e · outbound

This paper cites Fan and P.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Fan and P

Reference 51

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Observation 54a991e9-74fe-45d8-a452-8076d8da562c · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 52

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Observation f1934526-8ef8-4869-bcce-2bfd5cd19911 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 53

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Observation 6caee93c-5317-4c66-b561-570c89df4d51 · outbound

This paper cites Montano, G.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Montano, G

Reference 54

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Observation 40502d12-5cbe-42e2-971d-aa997490d5e9 · outbound

This paper cites Wahab, L.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Wahab, L

Reference 55

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Observation 3b46ea1d-51c7-4f82-bc13-c47affac54d5 · outbound

This paper cites Postponing the orthogonality catastrophe: efficient state preparation for electronic structure simulations on quantum devices.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Postponing the orthogonality catastrophe: efficient state preparation for electronic structure simulations on quantum devices

Reference 56

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Observation 94d2287a-dda1-493f-a5b9-76a392385d68 · outbound

This paper cites Scali, J.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Scali, J

Reference 57

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Observation 3bd4d697-beaf-43dc-878f-5d98946c104a · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 58

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Observation 556db097-81da-4abf-96f5-6dc62e6b9a49 · outbound

This paper cites Ghosh, C.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Ghosh, C

Reference 59

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Observation 057a5d29-330f-47dc-bf6a-d6f932c704f4 · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 60

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Observation 34a2cc92-0a36-4e3d-939b-8d703188cdaf · outbound

This paper cites Treinish, J.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Treinish, J

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T18:17:31.189383Z

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Observation 55954fd9-4cec-4738-8a16-fbd43f8bd9fb · outbound

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 62

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 63

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 64

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 65

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Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Unresolved cited work

Reference 66

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This paper cites Here, a low cosine similarity or KS- statistic score would indicate that the measured distribu- tion is similar to random sampling.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization Here, a low cosine similarity or KS- statistic score would indicate that the measured distribu- tion is similar to random sampling

Reference 67

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This paper cites In Table IV, the cosine similarity and TABLE IV: Cosine similarity and KS-statistic scores for comparisons between theS1,S2,B1andB2 distributions.

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization In Table IV, the cosine similarity and TABLE IV: Cosine similarity and KS-statistic scores for comparisons between theS1,S2,B1andB2 distributions

Reference 68

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Pith citing papers

Observation ffc1f053-e0ce-47ed-9131-3e0ec39563c9 · inbound

Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier cites this paper.

Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization

Reference 41

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