Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion | Paper Citation Record

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

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

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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

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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

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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.)

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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

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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

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

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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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This paper cites Quantum Optimization of Maximum Independent Set using Rydberg Atom Arrays.

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

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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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This paper cites Quantum Computing Dataset of Maximum Independent Set Problem on King's Lattice of over Hundred Rydberg Atoms.

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

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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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This paper cites Filtering variational quantum algorithms for combinatorial optimization.

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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This paper cites Quantum approximate optimization of non-planar graph problems on a planar superconducting processor,.

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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This paper cites Graph neuralnetworkinitializationofquantumapproximateop- timization,.

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

Reference 21

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This paper cites QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines.

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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This paper cites Graph decomposition techniques for solving combinatorial optimization problems with variational quantum algorithms.

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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This paper cites Quantum- enhanced greedy combinatorial optimization solver,.

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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This paper cites A Quantum Approximate Optimization Algorithm.

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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This paper cites A review on quantum approximate optimization algorithm and its variants,.

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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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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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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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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This paper cites Quantum sub- space expansion algorithm for Green’s functions,.

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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This paper cites West, Introduction to Graph Theory (2nd Edition).

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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This paper cites Gross, J.

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.570242Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.556258Z

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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

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:54:05.830160Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.540046Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.524667Z

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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

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:54:05.805363Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.510009Z

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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

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:54:05.781467Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.495124Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.480377Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.464441Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.449922Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.433642Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.417347Z

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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.399018Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.383614Z

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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

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:54:05.696093Z

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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

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:54:06.351997Z

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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

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:54:06.336807Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.320898Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.304893Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T18:54:05.551332Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.288694Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-15T18:54:05.545848Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.234262Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.263237Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.249237Z

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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: unresolved; no resolver link, observed 2026-08-15T18:54:05.586552Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.176583Z

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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: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.218761Z

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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: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.203295Z

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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: verified fuzzy; raw_fallback, observed 2026-08-15T18:54:06.161474Z

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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: verified exact; local_arxiv, observed 2026-08-15T18:54:05.759327Z

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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

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