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Paper Citation Record · LEDGER

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion

As of 17 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2506.18594.

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

pith.paper-citation-record.v1
2506.18594 v1

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measured 91 of 91 reference resolution

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measured 91 of 91 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

91 of 91 outbound references displayed

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External citation measurements

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Outbound references

Observation e24f5057-8bc8-4efa-b808-b82683a932fa · outbound

This paper cites an unresolved cited work.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Unresolved cited work

Reference 1

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This paper cites truncation method.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion truncation method

Reference 2

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This paper cites Tropical rainforest bird community structure in relation to altitude, tree species composition, and null models in the Western Ghats, India.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Tropical rainforest bird community structure in relation to altitude, tree species composition, and null models in the Western Ghats, India

Reference 3

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This paper cites Mendes, M.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Mendes, M

Reference 4

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This paper cites Aluru,Handbook of Computational Molecular Biology (1st ed.).

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Aluru,Handbook of Computational Molecular Biology (1st ed.)

Reference 5

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This paper cites Stauffer and A.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Stauffer and A

Reference 6

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This paper cites Minimalvertexcoverson finite-connectivityrandomgraphs: Ahard-spherelattice- gas picture,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Minimalvertexcoverson finite-connectivityrandomgraphs: Ahard-spherelattice- gas picture,

Reference 7

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This paper cites Korte and J.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Korte and J

Reference 8

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Unresolved cited work

Reference 9

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This paper cites Button, Handbook of Transportation Science.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Button, Handbook of Transportation Science

Reference 10

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This paper cites Vehicle routing problems: A sur- vey,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Vehicle routing problems: A sur- vey,

Reference 11

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This paper cites Nebel and R.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Nebel and R

Reference 12

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This paper cites Sherwani,Algorithms for VLSI Physical Design Au- tomation.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Sherwani,Algorithms for VLSI Physical Design Au- tomation

Reference 13

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This paper cites Quantum annealing with manufactured spins,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum annealing with manufactured spins,

Reference 14

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum Optimization of Maximum Independent Set using Rydberg Atom Arrays

Reference 15

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This paper cites Exploring the impact of graph locality for the resolution of MIS with neutral atom devices.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Exploring the impact of graph locality for the resolution of MIS with neutral atom devices

Reference 16

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum Computing Dataset of Maximum Independent Set Problem on King's Lattice of over Hundred Rydberg Atoms

Reference 17

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This paper cites Implementing transferable annealing protocols for combinatorial optimisation on neutral atom quantum processors: a case study on smart-charging of electric vehicles.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Implementing transferable annealing protocols for combinatorial optimisation on neutral atom quantum processors: a case study on smart-charging of electric vehicles

Reference 18

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Filtering variational quantum algorithms for combinatorial optimization

Reference 19

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum approximate optimization of non-planar graph problems on a planar superconducting processor,

Reference 20

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Graph neuralnetworkinitializationofquantumapproximateop- timization,

Reference 21

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines

Reference 22

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Graph decomposition techniques for solving combinatorial optimization problems with variational quantum algorithms

Reference 23

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum- enhanced greedy combinatorial optimization solver,

Reference 24

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion A Quantum Approximate Optimization Algorithm

Reference 25

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion A review on quantum approximate optimization algorithm and its variants,

Reference 26

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Observation 83f744e0-0617-480c-816a-6881093e297e · outbound

This paper cites An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer

Reference 27

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Observation 13dc6ef1-3911-4dd8-9d02-1ff1b1912862 · outbound

This paper cites Multi-angle quantum approximate opti- mization algorithm,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Multi-angle quantum approximate opti- mization algorithm,

Reference 28

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Observation a25cafc2-1a50-491a-9e34-2e8db5fdd72e · outbound

This paper cites Iterative Layerwise Training for Quantum Approximate Optimization Algorithm.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Iterative Layerwise Training for Quantum Approximate Optimization Algorithm

Reference 29

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum algorithms for generator coordinate methods

Reference 30

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum sub- space expansion algorithm for Green’s functions,

Reference 31

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This paper cites Solving the Lipkin model using quantum computers with two qubits only with a hybrid quantum-classical technique based on the Generator Coordinate Method.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Solving the Lipkin model using quantum computers with two qubits only with a hybrid quantum-classical technique based on the Generator Coordinate Method

Reference 32

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion West, Introduction to Graph Theory (2nd Edition)

Reference 33

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Gross, J

Reference 34

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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quan- tum computing with neutral atoms,

Reference 35

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Observation 701e2a7f-48c0-4730-a58f-347386ddfcc9 · outbound

This paper cites Quantum Optimization for Maximum Independent Set Using Rydberg Atom Arrays.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum Optimization for Maximum Independent Set Using Rydberg Atom Arrays

Reference 36

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Observation 1a46d415-fed6-411c-aa69-4e6f2ea34fb3 · outbound

This paper cites Rydberg Quantum Wires for Maximum Independent Set Problems with Nonplanar and High-Degree Graphs.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Rydberg Quantum Wires for Maximum Independent Set Problems with Nonplanar and High-Degree Graphs

Reference 37

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Observation e68d85f2-138b-457f-956d-8d0d3b58ea61 · outbound

This paper cites Quantum optimization with arbitrary connectivity using rydberg atom arrays,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum optimization with arbitrary connectivity using rydberg atom arrays,

Reference 38

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source=pdf_text observed=2026-08-15T18:54:05.324288Z digest=sha256:dcabbb4ef4d60bad01109fd0f1b3a097c6bb8230e62111abfadf55a381c34e69

Observation c5169348-4d26-4f52-8ee4-681ea6dc60ee · outbound

This paper cites Quantum hamiltonian algorithms for maximum inde- pendent sets,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum hamiltonian algorithms for maximum inde- pendent sets,

Reference 39

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source=pdf_text observed=2026-08-15T18:54:05.328532Z digest=sha256:3d1c72484039aa198a1c8dd9f8190a1af2482f0a8b48e61a927fc01f068e02da

Observation aae75d5e-cf18-48b5-bb9b-b1f9d0ab1daf · outbound

This paper cites Iterative quantum algo- rithms for maximum independent set: A tale of low- depth quantum algorithms,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Iterative quantum algo- rithms for maximum independent set: A tale of low- depth quantum algorithms,

Reference 40

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source=pdf_text observed=2026-08-15T18:54:05.334905Z digest=sha256:55c1fd21072403cb2c6d22beeb5dc4fe67f36ec6f67976d03f7d53bc012b53b3

Observation 227ddbcd-6d0a-42c1-b855-6595904c6672 · outbound

This paper cites Missing puzzle pieces in the per- formance landscape of the quantum approximate opti- mization algorithm,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Missing puzzle pieces in the per- formance landscape of the quantum approximate opti- mization algorithm,

Reference 41

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source=pdf_text observed=2026-08-15T18:54:05.340905Z digest=sha256:01918f62375ed976bb535b262281e04334a657164e0e93d403d878114cf69038

Observation 8655d6e0-1d5c-4601-94d4-3f652476c1ce · outbound

This paper cites Progressive quantum algorithm for maxi- mum independent set with quantum alternating operator ansatz,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Progressive quantum algorithm for maxi- mum independent set with quantum alternating operator ansatz,

Reference 42

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source=pdf_text observed=2026-08-15T18:54:05.346446Z digest=sha256:44bc7e91a8ec3acbe5de246c5a65188741860209d4aaa9d1c3beecf9036feae5

Observation 858c1790-ebbd-4ab7-9fd1-525542cb1583 · outbound

This paper cites Qaoa parameter transferability for maximum independent set using graph attention networks,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Qaoa parameter transferability for maximum independent set using graph attention networks,

Reference 43

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source=pdf_text observed=2026-08-15T18:54:05.351155Z digest=sha256:e1b4a3f910f9575a3565ed310303241d99ee9099092323fd106c8e3abcbe65cb

Observation f105dfc7-c1a3-4960-aaa8-9fb4a7fc14c9 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Barren plateaus in quantum neural network training landscapes,

Reference 44

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source=pdf_text observed=2026-08-15T18:54:05.355963Z digest=sha256:1b668720e8425e161972f29c5b9c40bfd38823c94c9d2f19c575e1f05b433cab

Observation bae306f5-39b0-42c8-b07f-8c288b49dde9 · outbound

This paper cites Diagnosing barren plateaus with tools from quantum optimal control,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Diagnosing barren plateaus with tools from quantum optimal control,

Reference 45

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source=pdf_text observed=2026-08-15T18:54:05.360571Z digest=sha256:98e05a8313fd3d0efd3a8a02c374500563a176ab41b1ea853e8bf7a16f8f6f4d

Observation 11f18842-7283-4550-be3f-c6a8856c566d · outbound

This paper cites Barren plateaus in variational quantum computing,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Barren plateaus in variational quantum computing,

Reference 46

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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=2026-08-15T18:54:05.365990Z digest=sha256:49847cc2612d997eb8161f2354338083a927a14354af8923118d56023db5bc0a

Observation c4d80dac-852e-413e-8945-083b225cb716 · outbound

This paper cites Exploring the role of parameters in variational quantum algorithms,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Exploring the role of parameters in variational quantum algorithms,

Reference 47

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source=pdf_text observed=2026-08-15T18:54:05.370427Z digest=sha256:5154f7f97c63bb106544f411b181390d517401972f9a0a993bc40de0cdeb6515

Observation 53bf6459-9f5c-4d13-934f-53a6c0cfff2f · outbound

This paper cites On the dynamical lie algebras of quantum approximate op- timization algorithms,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion On the dynamical lie algebras of quantum approximate op- timization algorithms,

Reference 48

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source=pdf_text observed=2026-08-15T18:54:05.374688Z digest=sha256:eafc1272310b83cda90ea18a8b6ae4b5ca40ec13f791381876cf1a24f8f26173

Observation e35954bc-6792-44c2-b5b1-e2d0ba394925 · outbound

This paper cites Analyzing the quantum approximate op- timization algorithm: ansätze, symmetries, and lie alge- bras,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Analyzing the quantum approximate op- timization algorithm: ansätze, symmetries, and lie alge- bras,

Reference 49

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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=2026-08-15T18:54:05.380974Z digest=sha256:23d66c2a989a4ac66f6a9140471a520e08581350191b6e08c648e37a5d64c324

Observation c2c4fe54-2b02-4798-a31d-8328395142c3 · outbound

This paper cites Warm-Started QAOA with Aligned Mixers Converges Slowly Near the Poles of the Bloch Sphere.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Warm-Started QAOA with Aligned Mixers Converges Slowly Near the Poles of the Bloch Sphere

Reference 50

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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=2026-08-15T18:54:05.388622Z digest=sha256:bab31416adc59708cd067f8ae665d8167aca5be7639235b8f1e02553553add6b

Observation 1c045241-8ed2-42f4-a547-36f8fbc071a5 · outbound

This paper cites Nuclear Constitution and the Interpretation of Fission Phenomena,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Nuclear Constitution and the Interpretation of Fission Phenomena,

Reference 51

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source=pdf_text observed=2026-08-15T18:54:05.396320Z digest=sha256:602f50662122703f20433985042128be014b2790f48e8fe97d3db421427a77cc

Observation 2fa223fd-9cad-408b-809b-6efb1824f328 · outbound

This paper cites Collective Motions in Nuclei by the Method of Generator Coordinates,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Collective Motions in Nuclei by the Method of Generator Coordinates,

Reference 52

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source=pdf_text observed=2026-08-15T18:54:05.401304Z digest=sha256:6a63bfc44d413850517ecfb929b7b193dac1f77e27aeaf4adad4ea9c185b6607

Observation ecaad6e5-a16f-4612-a03c-ae70f9dd50ce · outbound

This paper cites Generator-coordinate methods in nuclear physics,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Generator-coordinate methods in nuclear physics,

Reference 53

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source=pdf_text observed=2026-08-15T18:54:05.409326Z digest=sha256:4eda11d68116e201b44daf1d2fe711655846d3f6412ba020c96bc69b9e1ff770

Observation 842a24b3-ea48-4022-9b7a-3b7b28c7a307 · outbound

This paper cites Ring and P.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Ring and P

Reference 54

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.414033Z digest=sha256:e740669c8d6ed285639534dd3e20da99a11b472ec9d79799f12af7171a1886bf

Observation a135fad6-9ab5-4b49-a585-30dc25a6c8df · outbound

This paper cites Self- consistent mean-field models for nuclear structure,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Self- consistent mean-field models for nuclear structure,

Reference 55

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source=pdf_text observed=2026-08-15T18:54:05.418716Z digest=sha256:c67a455204ca5693e3443fbd748dd461fca2236359055f1441b317ebebc797b5

Observation d768aa62-ae2b-484f-8b5c-19c1f2664c46 · outbound

This paper cites The time-dependent generator coordinate method in nuclear physics.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion The time-dependent generator coordinate method in nuclear physics

Reference 56

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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=2026-08-15T18:54:05.423563Z digest=sha256:c7a34dd8826ed6e2deb76144a26f07d7c875ace682519c26bee2009c54113076

Observation ee4ee37d-e221-40be-b185-f831fb1e0241 · outbound

This paper cites The shapes of nuclei,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion The shapes of nuclei,

Reference 57

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:54:05.428475Z digest=sha256:156853671964105c3843aba395b096edf36ec662653d4323cfe58b0bc85ace07

Observation c0754106-946b-495f-bfb2-c53f90f82c0e · outbound

This paper cites Generator coordinate method for transition-state dynamics in nuclear fission,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Generator coordinate method for transition-state dynamics in nuclear fission,

Reference 58

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source=pdf_text observed=2026-08-15T18:54:05.432975Z digest=sha256:aadb730e48e7dbbb081e6dda1d3621eac166148e7aca507b9b32b70f2c97a38f

Observation 30b8ed54-b3c5-4209-8e78-6e5b58699e06 · outbound

This paper cites Beyond mean-field study of excited states: Analysis within the Lipkin model.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Beyond mean-field study of excited states: Analysis within the Lipkin model

Reference 59

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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=2026-08-15T18:54:05.437913Z digest=sha256:13fbea1857c8ea8801fc41a92a7763c25dde5be18a6afc468d8b47ceec04769e

Observation 8e37fbde-e474-482c-bf8e-0932e08e2687 · outbound

This paper cites Relativistic nu- clear energy density functionals: Mean-field and be- yond,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Relativistic nu- clear energy density functionals: Mean-field and be- yond,

Reference 60

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.443330Z digest=sha256:4adadbb2d95df7f6d2a73f2ba6a4610be0c173f144f1a73567dea235d85dfd6a

Observation 2ed22240-fe97-4457-8c2c-b3e8ba5e0ddb · outbound

This paper cites Symmetry restoration for odd-mass nuclei with a Skyrme energy density functional.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Symmetry restoration for odd-mass nuclei with a Skyrme energy density functional

Reference 61

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source=pdf_text observed=2026-08-15T18:54:05.447848Z digest=sha256:3ff6c326f105cb8f331613d13028bdfc16ee85b891eaaf918e77edbc4d155051

Observation 90819d1b-6dde-43c0-a673-f98a82d769d6 · outbound

This paper cites State-of-the-art of beyond mean field the- ories with nuclear density functionals,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion State-of-the-art of beyond mean field the- ories with nuclear density functionals,

Reference 62

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.453237Z digest=sha256:646c4e6a4bb55065f14fe0e9e47dad2e15ed8c8cc80477026700d047078ffa8c

Observation 2a6cb4a1-2af9-4441-8dfd-cb6e70d5f46d · outbound

This paper cites Time-dependent generator-coordinate-method study of mass-asymmetric fission of actinides,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Time-dependent generator-coordinate-method study of mass-asymmetric fission of actinides,

Reference 63

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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=2026-08-15T18:54:05.457448Z digest=sha256:be44c09c53f9677029f50d0c245d6538f37c59667cfbab4bdc6662d846455ac1

Observation e6a8a8a1-7336-42e0-8ba9-a20005bc5c7f · outbound

This paper cites The collective vibrations of a many-fermion system,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion The collective vibrations of a many-fermion system,

Reference 64

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raw_fallback, observed 2026-08-15T18:54:06.464441Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.461613Z digest=sha256:30d23fa3447a83187b440d0bf6b8f3fce1c92caf7a07e4265dc7915f2ded23ea

Observation 367aa894-5481-44b3-923c-f8b0e44a4dd6 · outbound

This paper cites Union of rotational and vibrational modes in generator-coordinate-type calcula- tions, with application to neutrinoless double-β decay,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Union of rotational and vibrational modes in generator-coordinate-type calcula- tions, with application to neutrinoless double-β decay,

Reference 65

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.466643Z digest=sha256:719fa98c5a2daaf9189d85a546bd31c2f977c99eccc69cf62bfa665510e4be43

Observation c58f353a-1fd6-44cb-9fa2-62639569aa9d · outbound

This paper cites Quantum fluc- tuations induce collective multiphonons in finite Fermi liquids,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum fluc- tuations induce collective multiphonons in finite Fermi liquids,

Reference 66

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.470917Z digest=sha256:bb705035b220b22b30189c8254664de0dd53c72be54705065a402c7c042119a4

Observation 1c178b01-01e6-4e82-abab-0621cd367a1c · outbound

This paper cites Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation

Reference 67

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:05.492218Z digest=sha256:53ca48130c515b1ce0822fcfc107bf5085f71cab73b94f43120556f135e9276d

Observation b1e72da1-ceef-433e-97f9-b5eab1893461 · outbound

This paper cites Quantum subspace expansion approach for simulating dynamical response functions of kitaev spin liquids,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum subspace expansion approach for simulating dynamical response functions of kitaev spin liquids,

Reference 68

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.481713Z digest=sha256:824564613144502893310244ed113cd9d6dae1deb5633220774fbac0ec60a171

Observation c2e22a2b-bdb6-4733-ae59-75c1de90a216 · outbound

This paper cites Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Inspired Method.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Inspired Method

Reference 69

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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=2026-08-15T18:54:05.487334Z digest=sha256:0588352898c675e4e2d4c8c9a4dad8e14faf43fbe3b9588a90f9082380f35408

Observation 4841f9b7-d793-4388-99c4-686f4e760a50 · outbound

This paper cites Marević,Towards a unified description of quantum liq- uid and cluster states in atomic nuclei within the rela- tivistic energy density functional framework.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Marević,Towards a unified description of quantum liq- uid and cluster states in atomic nuclei within the rela- tivistic energy density functional framework

Reference 70

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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=2026-08-15T18:54:05.505668Z digest=sha256:e171c5dda188aaeac891aba12e5acbb6b5a27b5e086ca5b892d748f36d606fce

Observation 91bbbeb4-a8f4-470a-8167-94cae2845852 · outbound

This paper cites Amultiref- erence quantum krylov algorithm for strongly correlated electrons,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Amultiref- erence quantum krylov algorithm for strongly correlated electrons,

Reference 71

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

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Observation 104d26fd-6312-4cf4-b6aa-bc4ff4e3774f · outbound

This paper cites Variational quantum simulation of chemical dynamics with quantum computers,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Variational quantum simulation of chemical dynamics with quantum computers,

Reference 72

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Observation ef975547-adca-40c0-b277-4f4ccc1f842d · outbound

This paper cites An extension of the generator coordinate method with basis optimization.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion An extension of the generator coordinate method with basis optimization

Reference 73

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

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Observation 6c53fe23-3a96-40f2-9406-be2f28216138 · outbound

This paper cites an unresolved cited work.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Unresolved cited work

Reference 74

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.510309Z digest=sha256:e03c9554adbe2b34bfa8210dbabe4efd0c799413d9181c102e06150193a076f0

Observation 9eea3f0a-bf03-44b6-8d5b-d433f64091c6 · outbound

This paper cites an unresolved cited work.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Unresolved cited work

Reference 75

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.515670Z digest=sha256:f43212251ab3acf390902a5f7d585b45a47ec3e82ac74a611fd1153d941d27cd

Observation d93b59a6-de86-4e42-82da-9a5499d503c6 · outbound

This paper cites A theory of quantum subspace diagonalization.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion A theory of quantum subspace diagonalization

Reference 76

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no resolver link, observed 2026-08-15T18:54:05.535108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:05.535108Z digest=sha256:84381bf6b6b2d2101e8215a84fb6a5528be0e4d4bc7fadbdcd2f47d942279da6

Observation 2bb17fc9-a321-4cfc-9982-98f861c80e8e · outbound

This paper cites Über eine neue methode zur lösung gewisser variationsprobleme der mathematischen physik,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Über eine neue methode zur lösung gewisser variationsprobleme der mathematischen physik,

Reference 77

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

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Observation 5b4d7442-5f7d-47eb-8a25-376f789b9cdb · outbound

This paper cites Analysis of the generator coordinate method in a study of shape isomerism in 194Hg,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Analysis of the generator coordinate method in a study of shape isomerism in 194Hg,

Reference 78

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.530711Z digest=sha256:ccc1bb6b60f099d6b6c90c4e40e4bff70309c7657a2d354791fa053c252c9c42

Observation 10d69674-90cc-4868-8481-d61b1c78689f · outbound

This paper cites A limited memory algorithm for bound constrained optimization,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion A limited memory algorithm for bound constrained optimization,

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:05.551332Z digest=sha256:adf22787b116f13804aae53d9a72c580750f6e7ff7dc567d0f91a05c1fc0a92b

Observation 267d93cd-67ca-4c67-9aba-5858ea3823ce · outbound

This paper cites Variational Quan- tum Computation of Excited States,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Variational Quan- tum Computation of Excited States,

Reference 80

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.540614Z digest=sha256:4a23f8dff7a4b0f62222b23d8631734b6cbd545181a2b672b6dfc745c37286a2

Observation ba25084a-371d-44f2-be48-fd4b96363d6e · outbound

This paper cites Hamiltonian Simulation Using Linear Combinations of Unitary Operations.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Hamiltonian Simulation Using Linear Combinations of Unitary Operations

Reference 81

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:05.545848Z digest=sha256:05ea5c543f7de0b36266c9e53e828e78849a315e6fc9f7e8f99fcb2b196673e5

Observation ab920a4d-1f5b-4bba-9750-27f719770736 · outbound

This paper cites Finite difference coefficient — Wikipedia, the free encyclopedia.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Finite difference coefficient — Wikipedia, the free encyclopedia

Reference 82

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raw_fallback, observed 2026-08-15T18:54:06.234262Z

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

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Observation a045c8ec-d939-4f94-858b-63b1c9812f12 · outbound

This paper cites Algorithm 778: L-bfgs-b: Fortran subroutines for large-scale bound- constrained optimization,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Algorithm 778: L-bfgs-b: Fortran subroutines for large-scale bound- constrained optimization,

Reference 83

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:54:05.556309Z digest=sha256:5f711569f4ea799adbc46e004a8b1e075736fe8deedfce691c4aca401a2e81a2

Observation fc3b15c1-21d0-4cf8-abd4-7dd1f4604102 · outbound

This paper cites Identify- ing hard native instances for the maximum independent set problem on neutral atoms quantum processors,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Identify- ing hard native instances for the maximum independent set problem on neutral atoms quantum processors,

Reference 84

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

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Observation 8b27ed0d-9fba-470d-8ab5-b6eb549eea6b · outbound

This paper cites an unresolved cited work.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Unresolved cited work

Reference 85

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:05.586552Z digest=sha256:1903beffc1394d49953c0fd81951096f450bf48a798adb1a43045515b0c15865

Observation 04f0047d-9cc4-4add-9ece-1ebfa8ff599d · outbound

This paper cites Constructing Large Controlled Nots — al- gassert.com.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Constructing Large Controlled Nots — al- gassert.com

Reference 86

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:54:05.590946Z digest=sha256:2d51c75df7282eae0dd756ef908c3fbd1fe91ceb11895c92e15aa30d0a43c886

Observation 3265e0de-f32d-47ef-a054-af77922a8065 · outbound

This paper cites Optimal ancilla-free clif- ford+t approximation of z-rotations,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Optimal ancilla-free clif- ford+t approximation of z-rotations,

Reference 87

Resolution
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.577374Z digest=sha256:84d0b4f4fd9b7dfff580ded09cd67113448892a708dd22099e049b8f4606f762

Observation b420ba92-0ccd-4a71-9f38-35f1b9700faa · outbound

This paper cites Elementary gates for quantum compu- tation,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Elementary gates for quantum compu- tation,

Reference 88

Resolution
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T18:54:05.581771Z digest=sha256:0f25e8db807bcd02cda17c2d03e60aae0ec9196b3d074a4c0c754352f2fbbc3f

Observation 0a7c4488-a021-4144-82d8-b8bf856b2f13 · outbound

This paper cites Polylogarithmic-depth controlled-not gates without ancilla qubits,.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Polylogarithmic-depth controlled-not gates without ancilla qubits,

Reference 91

Resolution
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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=2026-08-15T18:54:05.595999Z digest=sha256:b94923446f9c9451142d3859f4c997d02af5a5906f23803a395709296d9e84be

Observation d4f93154-10d9-449b-987f-5ca3a0b63c2e · outbound

This paper cites Quantum fluctuations induce collective multiphonons in finite Fermi liquids.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Quantum fluctuations induce collective multiphonons in finite Fermi liquids

Reference 2023

Resolution
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local_arxiv, observed 2026-08-15T18:54:05.759327Z

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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=2026-08-15T18:54:05.476153Z digest=sha256:803dd8af3a6ea8c000037f927d7532edc4f6a098eb058bf39d47df2e3df0decc

Observation 7f38a3ad-3358-4eef-8ff9-c46592b6f02e · outbound

This paper cites Identifying hard native instances for the maximum independent set problem on neutral atoms quantum processors.

Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion Identifying hard native instances for the maximum independent set problem on neutral atoms quantum processors

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-15T18:54:05.566468Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:05.566468Z digest=sha256:faf984ec1738b431f3d1ef06bf93dc91dd3840dfe14cc4092b917e63e203afc9

Pith citing papers

No inbound Pith citation observations are available.