Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space | Paper Citation Record

Observation 13c42bf7-0676-4d20-9ddf-c58d8ce84e28 · outbound

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Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Unresolved cited work

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Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space sign problem

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This paper cites For example, the occupation numbers are guaranteed to lie within physical bounds, 0≤ ⟨ΦK(X)|b† aba|ΦK(X)⟩ ≤1, strictly enforcing the Pauli principle.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space For example, the occupation numbers are guaranteed to lie within physical bounds, 0≤ ⟨ΦK(X)|b† aba|ΦK(X)⟩ ≤1, strictly enforcing the Pauli principle

Reference 3

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Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Unresolved cited work

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Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Unresolved cited work

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Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Unresolved cited work

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Observation 96e58d9a-9dac-4301-9c43-a8540df37aae · outbound

This paper cites Different lattices with the same point-group symmetry will share the structure of the embedding Hamiltonian as shown in Fig.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Different lattices with the same point-group symmetry will share the structure of the embedding Hamiltonian as shown in Fig

Reference 7

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Observation 2dd375be-35f7-4666-ade2-40556fded037 · outbound

This paper cites For each chart, we follow the PCA construction described in Sec.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space For each chart, we follow the PCA construction described in Sec

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Observation 5b81a522-e00a-42d1-ab82-417375d4a806 · outbound

This paper cites V A, we take the pre-training domain to beD i ∈ [−1.0,0.0] and Λ i ∈[−10.0,10.0] fori= 1,2,3.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space V A, we take the pre-training domain to beD i ∈ [−1.0,0.0] and Λ i ∈[−10.0,10.0] fori= 1,2,3

Reference 9

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Observation 58f7eb90-596d-4841-9382-d8e30594d069 · outbound

This paper cites method of snapshots.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space method of snapshots

Reference 10

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Observation ea05c208-6b49-430e-8ede-25a4f105e5a8 · outbound

This paper cites Ma- terials genome initiative for global competitiveness,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Ma- terials genome initiative for global competitiveness,

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Observation e67f1664-2d4c-4b6e-a124-1ca028673307 · outbound

This paper cites Design and discovery of materials guided by theory and computation,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Design and discovery of materials guided by theory and computation,

Reference 12

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Observation ecd03cc7-8730-4be4-a324-63246eddb23e · outbound

This paper cites Inhomogeneous electron gas,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Inhomogeneous electron gas,

Reference 13

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Observation 708e2653-2d31-4cbb-ad7e-b4a0ff4c89a8 · outbound

This paper cites Self-consistent equations in- cluding exchange and correlation effects,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Self-consistent equations in- cluding exchange and correlation effects,

Reference 14

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Observation bb78bc2a-390d-4495-a501-02cf78166e51 · outbound

This paper cites Toward a predic- tive theory of correlated materials,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Toward a predic- tive theory of correlated materials,

Reference 15

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Observation aa1f0036-9a3d-42cd-9813-a3794eb77da6 · outbound

This paper cites Eschrig,N.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Eschrig,N

Reference 16

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Observation f94ae12d-7884-42e7-aafe-61b157a8d67e · outbound

This paper cites Phase stability and properties of manganese oxide polymorphs: Assessment and insights from diffusion Monte Carlo,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Phase stability and properties of manganese oxide polymorphs: Assessment and insights from diffusion Monte Carlo,

Reference 17

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Observation 1ffc84ed-7042-4fb2-b94c-ce99a3b240ca · outbound

This paper cites Polymorphic energy or- dering of MgO, ZnO, GaN, and MnO within the random phase approximation,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Polymorphic energy or- dering of MgO, ZnO, GaN, and MnO within the random phase approximation,

Reference 18

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Observation b4deeb37-4a6b-4ef0-972f-d9292d2b637c · outbound

This paper cites Energetic sta- bility and magnetic properties of MnO in the rocksalt, wurtzite, and zinc-blende structures: Influence of ex- change and correlation,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Energetic sta- bility and magnetic properties of MnO in the rocksalt, wurtzite, and zinc-blende structures: Influence of ex- change and correlation,

Reference 19

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Observation 2e2c0fc6-412e-4394-a0d0-32a98d797b98 · outbound

This paper cites Quantum Monte Carlo calculations of structural properties of FeO under pressure,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Quantum Monte Carlo calculations of structural properties of FeO under pressure,

Reference 20

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Observation 8fff596a-b0d4-4d80-b2ec-bd36bfc0ff5c · outbound

This paper cites Magnetic collapse and the behavior of tran- sition metal oxides at high pressure,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Magnetic collapse and the behavior of tran- sition metal oxides at high pressure,

Reference 21

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Observation 4430b75d-4a98-4fc8-a80d-9141e2d3520e · outbound

This paper cites Structural predictions for correlated electron materials using the functional dynamical mean field theory approach,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Structural predictions for correlated electron materials using the functional dynamical mean field theory approach,

Reference 22

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Observation bd7a6f8c-8d98-4858-8fd3-e13afde54653 · outbound

This paper cites Connection between mott physics and crystal structure in a series of transition metal binary compounds,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Connection between mott physics and crystal structure in a series of transition metal binary compounds,

Reference 23

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Observation b3cf217f-fe7f-4e0e-8b22-9195a7314a13 · outbound

This paper cites Origins of the odd optical observables in plutonium and americium tungstates,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Origins of the odd optical observables in plutonium and americium tungstates,

Reference 24

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Observation e4e918a1-cafc-443c-bb92-160388f8b4cd · outbound

This paper cites Un- covering the origin of divergence in the csm(cro 4)2 (m = la – sm; am) family through the chemical bonding in a molecular cluster and by band structure analysis,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Un- covering the origin of divergence in the csm(cro 4)2 (m = la – sm; am) family through the chemical bonding in a molecular cluster and by band structure analysis,

Reference 25

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Observation d9db46a7-c67e-4fe7-8739-bd7ac8d414d8 · outbound

This paper cites Doping a mott insulator: Physics of high-temperature superconductivity,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Doping a mott insulator: Physics of high-temperature superconductivity,

Reference 26

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Observation 1f1ea297-f7a2-4c49-aeb4-db6edb1e0cb5 · outbound

This paper cites High- temperature superconductivity in iron-based materials,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space High- temperature superconductivity in iron-based materials,

Reference 27

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Observation 246f68a4-ae76-4e63-9ffb-1998458a6f10 · outbound

This paper cites Role of the orbital degree of freedom in iron-based su- perconductors,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Role of the orbital degree of freedom in iron-based su- perconductors,

Reference 28

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Observation caae9369-94de-430d-bc98-1ee8788f93cc · outbound

This paper cites High temperature singlet-based mag- netism from hund’s rule correlations,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space High temperature singlet-based mag- netism from hund’s rule correlations,

Reference 29

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Observation 7944eb40-f4ad-4125-acd4-be5ccea7f075 · outbound

This paper cites Orbital- selective pairing and superconductivity in iron selenides,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Orbital- selective pairing and superconductivity in iron selenides,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.185751Z

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Observation c2d36905-380b-4d50-9f06-1ad1a6f201e0 · outbound

This paper cites Mag- netism and its microscopic origin in iron-based high- temperature superconductors,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Mag- netism and its microscopic origin in iron-based high- temperature superconductors,

Reference 31

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Observation b0607ac6-d5eb-4ebb-8d12-c5bc4d07839a · outbound

This paper cites Superconductivity above 100 K in single-layer FeSe films on doped SrTiO 3,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Superconductivity above 100 K in single-layer FeSe films on doped SrTiO 3,

Reference 32

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Observation 3ac64626-a0bc-4930-a08a-e60fd8592d0c · outbound

This paper cites Interfacial supercon- ductivity in a bi-collinear antiferromagnetically ordered FeTe monolayer on a topological insulator,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Interfacial supercon- ductivity in a bi-collinear antiferromagnetically ordered FeTe monolayer on a topological insulator,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.198515Z

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Observation 6d064973-8f3c-4a14-8aef-a20fcc720cab · outbound

This paper cites Anisimov and Y.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Anisimov and Y

Reference 34

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Observation efbc3f44-e80d-4ce0-94a8-ea2146fa7c3d · outbound

This paper cites First-principles calculations of the electronic structure and spectra of strongly cor- related systems: dynamical mean-field theory,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space First-principles calculations of the electronic structure and spectra of strongly cor- related systems: dynamical mean-field theory,

Reference 35

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Observation af8d951e-76ef-4140-a14c-6475460ad9a3 · outbound

This paper cites Realistic investigations of correlated electron systems with LDA+DMFT,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Realistic investigations of correlated electron systems with LDA+DMFT,

Reference 36

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Observation be5d49e4-4d51-4509-8083-92644d480ffe · outbound

This paper cites Dynamical mean-field theory of strongly corre- lated fermion systems and the limit of infinite dimen- sions,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Dynamical mean-field theory of strongly corre- lated fermion systems and the limit of infinite dimen- sions,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.215177Z

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Observation e585e974-3189-4ff7-8a10-5d919abcc6df · outbound

This paper cites Implementation of LDA+DMFT with the pseudo-potential-plane-wave method,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Implementation of LDA+DMFT with the pseudo-potential-plane-wave method,

Reference 38

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Observation 32889f04-8d65-45d8-ad04-f890cc38df12 · outbound

This paper cites Electronic structure calculations with dynamical mean-field theory,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Electronic structure calculations with dynamical mean-field theory,

Reference 39

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Observation 8e6ffb94-dca3-4178-bb3c-3bca455a75fc · outbound

This paper cites Density matrix embed- ding: A simple alternative to dynamical mean-field the- ory,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Density matrix embed- ding: A simple alternative to dynamical mean-field the- ory,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.228239Z

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Observation 57b58ca1-7e45-48e7-9b3f-55b6a2e7a26e · outbound

This paper cites Spectral functions of strongly correlated extended systems via an exact quantum embedding.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Spectral functions of strongly correlated extended systems via an exact quantum embedding

Reference 41

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Observation 8f5dbb13-404f-407d-b53a-2a39dcf778a3 · outbound

This paper cites Rotationally invariant slave-boson formalism and momentum dependence of the quasiparticle weight,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Rotationally invariant slave-boson formalism and momentum dependence of the quasiparticle weight,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.237504Z

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Observation 8581acec-44d2-4ba6-9372-6f2cffdb263c · outbound

This paper cites Spin-rotation- invariant slave-boson approach to the Hubbard model,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Spin-rotation- invariant slave-boson approach to the Hubbard model,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.241957Z

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Observation 1a8b280b-7cca-47e1-86dc-6d22acb04bb0 · outbound

This paper cites Slave Boson Theory of Orbital Differentiation with Crystal Field Effects: Ap- plication to UO 2,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Slave Boson Theory of Orbital Differentiation with Crystal Field Effects: Ap- plication to UO 2,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.246847Z

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Observation bc3f9925-b516-416e-932d-d2b5c7dae43f · outbound

This paper cites Correlation of Electrons in a Narrow sBand,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Correlation of Electrons in a Narrow sBand,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.251371Z

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Observation 0fff8a89-ec05-4ae5-944f-d8355e87464c · outbound

This paper cites Phase diagram and elec- tronic structure of praseodymium and plutonium,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Phase diagram and elec- tronic structure of praseodymium and plutonium,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.255647Z

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Observation c2e5ae43-ed71-4275-a09d-dedcb6a4de9c · outbound

This paper cites Fermi-surface evolution across the magnetic phase transition in the Kondo lattice model,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Fermi-surface evolution across the magnetic phase transition in the Kondo lattice model,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.259577Z

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Observation c0150d1f-4fa0-49cd-a6ec-1bccbd536938 · outbound

This paper cites Correlated lattice Fermions ind=∞dimensions,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Correlated lattice Fermions ind=∞dimensions,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.263394Z

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Observation dba53327-d4e6-4553-a81e-b260553857ca · outbound

This paper cites Local density approximation combined with Gutzwiller method for correlated electron systems: Formalism and applica- tions,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Local density approximation combined with Gutzwiller method for correlated electron systems: Formalism and applica- tions,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.267416Z

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Observation c70d6142-c9b4-4536-bbf8-f1e1b666dc07 · outbound

This paper cites Gutzwiller density functional theory for correlated electron sys- tems,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Gutzwiller density functional theory for correlated electron sys- tems,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.271666Z

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Observation 7654e75c-8ab5-4a82-88df-16db540b5530 · outbound

This paper cites Efficient implementation of the Gutzwiller variational method,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Efficient implementation of the Gutzwiller variational method,

Reference 51

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Observation 52b04ac3-42fd-4714-8a90-fb303a0c8b87 · outbound

This paper cites Gutzwiller-correlated wave functions: appli- cation to ferromagnetic nickel,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Gutzwiller-correlated wave functions: appli- cation to ferromagnetic nickel,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.280295Z

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Observation 833421e4-28be-44bc-87f9-87d820ed124f · outbound

This paper cites Properties of Gutzwiller wave functions for multiband models,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Properties of Gutzwiller wave functions for multiband models,

Reference 53

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Observation 3e06dd51-4dd3-4379-bcac-0d986eb67739 · outbound

This paper cites Emergent Bloch excitations in Mott matter,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Emergent Bloch excitations in Mott matter,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.289118Z

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Observation fdbbee62-f24b-483b-853c-8b3595c41b10 · outbound

This paper cites Quantum embedding description of the Anderson lattice model with the ghost Gutzwiller approximation,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Quantum embedding description of the Anderson lattice model with the ghost Gutzwiller approximation,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.293056Z

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Observation a2022f2d-028f-4861-8cdf-4d5945a03163 · outbound

This paper cites Operatorial formulation of the ghost ro- tationally invariant slave-boson theory,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Operatorial formulation of the ghost ro- tationally invariant slave-boson theory,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.297169Z

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Observation 8e9f64e9-b224-42b8-b55d-e1e46e728e7e · outbound

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Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Derivation of the ghost gutzwiller ap- proximation from quantum embedding principles: Ghost density matrix embedding theory,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.301552Z

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Observation f3a5e6fd-9f76-496f-b6db-4823a827d6ea · outbound

This paper cites Ma- chine learning for many-body physics: The case of the Anderson impurity model,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Ma- chine learning for many-body physics: The case of the Anderson impurity model,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.305671Z

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Observation 58f2e28c-e78c-40ff-8582-bc9a9266d884 · outbound

This paper cites Data-driven dynam- ical mean-field theory: An error-correction approach to solve the quantum many-body problem using machine learning,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Data-driven dynam- ical mean-field theory: An error-correction approach to solve the quantum many-body problem using machine learning,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.309669Z

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Observation b72f6535-ef59-409d-9b95-b27938710102 · outbound

This paper cites Predicting im- purity spectral functions using machine learning,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Predicting im- purity spectral functions using machine learning,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.313781Z

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Observation b0fb0ebf-8def-496d-be92-bad29b7fd669 · outbound

This paper cites Learning impurity spectral functions from density of states,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Learning impurity spectral functions from density of states,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.318027Z

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Observation eb203019-56f1-4818-9b4d-0ae99a75394f · outbound

This paper cites Machine learning many-body green’s functions for molecular excitation spectra,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Machine learning many-body green’s functions for molecular excitation spectra,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.322517Z

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Observation b2aa3bb0-fa25-45d2-ba4e-f38f1c5f143e · outbound

This paper cites Predicting interacting Green's functions with neural networks.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Predicting interacting Green's functions with neural networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.326521Z

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Observation 2d34a0dc-1e08-4612-9690-176c7096f4c1 · outbound

This paper cites Neural network impurity solver for real- frequency dynamical mean-field theory,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Neural network impurity solver for real- frequency dynamical mean-field theory,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.331346Z

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Observation 5b31e5a8-6821-420c-a26b-466cbf37b37a · outbound

This paper cites Language-inspired machine learning approach for solving strongly correlated problems with dynamical mean-field theory,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Language-inspired machine learning approach for solving strongly correlated problems with dynamical mean-field theory,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.335518Z

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Observation ee08264c-7225-4d80-8895-21e4e13c91db · outbound

This paper cites Equiv- ariant neural network for green’s functions of molecules and materials,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Equiv- ariant neural network for green’s functions of molecules and materials,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.339753Z

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Observation 74dfd52a-29ff-40de-913b-f2cafc070f6b · outbound

This paper cites Deep learning- based prediction of self-energies from ab initio dynam- ical mean-field theory for real materials with minimal data sets,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Deep learning- based prediction of self-energies from ab initio dynam- ical mean-field theory for real materials with minimal data sets,

Reference 67

Resolution: malformed identifier; no resolver link, observed 2026-08-03T14:10:13.344230Z

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Observation 4f567985-2925-46d8-a597-6101486d8bb4 · outbound

This paper cites Bypassing the compu- tational bottleneck of quantum-embedding theories for strong electron correlations with machine learning,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Bypassing the compu- tational bottleneck of quantum-embedding theories for strong electron correlations with machine learning,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.348674Z

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Observation 1b5f6723-2a3b-46fe-8c19-bd279c8563ad · outbound

This paper cites Active learning approach to simulations of strongly correlated matter with the ghost gutzwiller approximation,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Active learning approach to simulations of strongly correlated matter with the ghost gutzwiller approximation,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.352919Z

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Observation 35506322-c6e9-4da8-86a8-47c6def737a6 · outbound

This paper cites The itensor software library for tensor network calculations,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space The itensor software library for tensor network calculations,

Reference 70

Resolution: malformed identifier; no resolver link, observed 2026-08-03T14:10:13.356997Z

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Observation 6f15f308-93fd-4258-b40e-92075dbf8bbb · outbound

This paper cites Block2: A comprehensive open source framework to develop and apply state-of-the- art dmrg algorithms in electronic structure and beyond,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Block2: A comprehensive open source framework to develop and apply state-of-the- art dmrg algorithms in electronic structure and beyond,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.361283Z

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Observation eb1ca335-737d-475c-98ae-383f00ab09cf · outbound

This paper cites The density-matrix renormalization group,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space The density-matrix renormalization group,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.365766Z

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Observation e310b3a4-5c83-41ed-a78a-4defaede568c · outbound

This paper cites Density matrix formulation for quan- tum renormalization groups,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Density matrix formulation for quan- tum renormalization groups,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.370409Z

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Observation 35e15968-9c68-4c36-a227-054a6e704e3f · outbound

This paper cites Density-matrix algorithms for quan- tum renormalization groups,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Density-matrix algorithms for quan- tum renormalization groups,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.374859Z

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Observation abdf2997-ecee-4780-ab50-c059e53523f8 · outbound

This paper cites Tree tensor-network real-time multiorbital impurity solver: Spin-orbit coupling and correlation functions in sr2ruo4,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Tree tensor-network real-time multiorbital impurity solver: Spin-orbit coupling and correlation functions in sr2ruo4,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.378987Z

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Observation 10e4890b-5b93-4999-980f-f304354c158b · outbound

This paper cites Quantum impurity models using superpositions of fermionic gaussian states: Practical methods and applications,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Quantum impurity models using superpositions of fermionic gaussian states: Practical methods and applications,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.383246Z

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Observation e17ca878-8e75-4032-9eeb-f141d068b939 · outbound

This paper cites Disentangling interacting systems with fermionic gaussian circuits: Application to quantum impurity mod- els,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Disentangling interacting systems with fermionic gaussian circuits: Application to quantum impurity mod- els,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.387939Z

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Observation 4125eb23-5594-4d8a-a656-ef0592b5f7ab · outbound

This paper cites Quantum Assisted Ghost Gutzwiller Ansatz.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Quantum Assisted Ghost Gutzwiller Ansatz

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.392071Z

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Observation fbb2b003-2e2d-49a7-9b46-0daaada2bf88 · outbound

This paper cites Adaptive variational quantum imaginary time evolution approach for ground state preparation,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Adaptive variational quantum imaginary time evolution approach for ground state preparation,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.397141Z

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Observation 5efd5a63-6b1d-41eb-953e-f52980020e0a · outbound

This paper cites Error mit- igation in variational quantum eigensolvers using tai- lored probabilistic machine learning,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Error mit- igation in variational quantum eigensolvers using tai- lored probabilistic machine learning,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.401383Z

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Observation 10b2d6c6-6794-4aaa-8677-802f6429125e · outbound

This paper cites Quantum-Classical Embedding via Ghost Gutzwiller Approximation for Enhanced Simulations of Correlated Electron Systems.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Quantum-Classical Embedding via Ghost Gutzwiller Approximation for Enhanced Simulations of Correlated Electron Systems

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.405342Z

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Observation 4384af47-b5a8-48d5-b617-3dc69e1ade5a · outbound

This paper cites Accuracy of ghost rotationally invariant slave-boson and dynamical mean field theory as a function of the impurity-model bath size,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Accuracy of ghost rotationally invariant slave-boson and dynamical mean field theory as a function of the impurity-model bath size,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.410045Z

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Observation d0809195-b6c5-47b0-95f1-7952e6af1d4c · outbound

This paper cites Accuracy of ghost- rotationally-invariant slave-boson theory for multiorbital hubbard models and realistic materials,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Accuracy of ghost- rotationally-invariant slave-boson theory for multiorbital hubbard models and realistic materials,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.415421Z

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Observation f0fa4697-3aed-47c7-bc10-8f26cb4ea84d · outbound

This paper cites Charge self-consistent density functional theory plus ghost rotationally invariant slave-boson theory for cor- related materials,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Charge self-consistent density functional theory plus ghost rotationally invariant slave-boson theory for cor- related materials,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.420445Z

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Observation 62a94467-75a7-4e01-80b9-e0e69a6c92b1 · outbound

This paper cites First-principles calculations of the electronic structure and spectra of strongly correlated systems: the LDA+U method,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space First-principles calculations of the electronic structure and spectra of strongly correlated systems: the LDA+U method,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.426010Z

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Observation 06c86a4f-0181-4513-8e03-e914c1c84c5f · outbound

This paper cites Al- leviating the sign problem in quantum monte carlo simu- lations of spin-orbit-coupled multiorbital hubbard mod- els,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Al- leviating the sign problem in quantum monte carlo simu- lations of spin-orbit-coupled multiorbital hubbard mod- els,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.430665Z

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Observation 9d15e1de-21ee-4e1b-8f8b-6265b2771d13 · outbound

This paper cites Mitigating the sign problem through basis rotations,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Mitigating the sign problem through basis rotations,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.436387Z

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Observation bc8e9dd8-1f46-4782-84b0-3e9c39bf76b9 · outbound

This paper cites Altermagnetism from interaction-driven itin- erant magnetism,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Altermagnetism from interaction-driven itin- erant magnetism,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.441185Z

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Observation 8f26a0c7-4e92-42b4-8495-240aedc5a41c · outbound

This paper cites Exciton mott transition revisited,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Exciton mott transition revisited,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.446332Z

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Observation b2dea011-34b2-46db-89ed-9b136978099d · outbound

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Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Efficient computational screening of strongly correlated materials: Multiorbital phenomenology within the ghost gutzwiller approximation,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.451016Z

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Observation 9d745ef4-a013-4b2e-9efa-78ee77608051 · outbound

This paper cites Revealing spinons by proximity ef- fect,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Revealing spinons by proximity ef- fect,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.456403Z

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Observation cd641fb0-0b97-43a7-8e7b-f273072080ff · outbound

This paper cites Quantum embedding for molecules using auxiliary particles – the ghost gutzwiller ansatz,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Quantum embedding for molecules using auxiliary particles – the ghost gutzwiller ansatz,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.461332Z

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Observation 023ce5b6-f6df-4dff-af39-02206bab400f · outbound

This paper cites Band structure picture for topology in strongly correlated systems with the ghost Gutzwiller ansatz.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Band structure picture for topology in strongly correlated systems with the ghost Gutzwiller ansatz

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.466988Z

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Observation 2c482673-e96b-4dc5-a1fa-76f8729a6df1 · outbound

This paper cites A spin promotion effect in catalytic ammonia synthesis,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space A spin promotion effect in catalytic ammonia synthesis,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.472655Z

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Observation 9eace891-b565-4675-9e57-4976c695d295 · outbound

This paper cites Spin-mediated promotion of co cat- alysts for ammonia synthesis,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Spin-mediated promotion of co cat- alysts for ammonia synthesis,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.477933Z

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Observation 526e705f-59eb-41d4-a0d4-80cfac9a0a04 · outbound

This paper cites Structure of fermion density matrices,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Structure of fermion density matrices,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.482813Z

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Observation 5840f59d-1aa6-4f0d-a4ea-51ad7ceb845c · outbound

This paper cites Eigenvector continuation with subspace learning,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Eigenvector continuation with subspace learning,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.488526Z

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Observation 5f1102ef-b84f-4a59-b032-016b58dad1ac · outbound

This paper cites Foundation neural-networks quantum states as a unified ansatz for multiple Hamiltonians,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Foundation neural-networks quantum states as a unified ansatz for multiple Hamiltonians,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.494276Z

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Observation 92765b6c-44c2-43c8-997e-b8c2f6a7bea5 · outbound

This paper cites Neural-quantum-states impurity solver for quantum embedding problems,.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Neural-quantum-states impurity solver for quantum embedding problems,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.498950Z

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Observation 1e7e1bfc-539b-431c-8af5-22fc1679098a · outbound

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Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Quan- tum embedding method with transformer neural network quantum states for strongly correlated materials,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-03T14:10:13.504003Z

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