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arxiv: 2606.17147 · v1 · pith:PNKDUBLYnew · submitted 2026-06-15 · ✦ hep-th · hep-ph· quant-ph

When Renormalisation Remembers: UV/IR Mixing as an Entanglement Bridge

Pith reviewed 2026-06-27 03:08 UTC · model grok-4.3

classification ✦ hep-th hep-phquant-ph
keywords UV/IR mixingrenormalisationtensor networksentanglementeffective field theoryHilbert spacephase-space reciprocityWilsonian decoupling
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The pith

UV/IR mixing manifests as scale-to-scale entanglement in a reciprocal tensor network, with cross-bridge strength determining when effective descriptions remain viable.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper argues that UV/IR mixing should be understood as persistent correlations between widely separated renormalisation scales inside Hilbert space rather than as a simple decoupling process. It introduces the Born-Reciprocal Tensor Network to realise this mixing explicitly, prepare the vacuum state, and recover standard radiative corrections. The network geometry contains a bridge linking reciprocal infrared representations, and the entanglement across that bridge supplies a quantitative test for whether a local effective theory is still valid. In a large-volume limit with the fundamental scale held fixed, this entanglement diminishes, so that ordinary Wilsonian behaviour is recovered and renormalisation effectively forgets its ultraviolet past.

Core claim

UV/IR mixing is realised as Hilbert-space correlations across renormalisation scales on the Born-Reciprocal Tensor Network, a configuration that is symmetric under phase-space reciprocity; preparing the vacuum on this network reproduces radiative corrections, and the resulting geometry contains a bridge whose cross-bridge entanglement measures the obstruction to a local effective description, an obstruction that scales away in the large-volume limit so that Wilsonian decoupling is restored.

What carries the argument

The Born-Reciprocal Tensor Network (BRTN), a tensor-network geometry globally symmetric under phase-space reciprocity that encodes UV/IR mixing as correlations between reciprocal representations of infrared physics.

If this is right

  • Cross-bridge entanglement supplies a precise numerical criterion for the viability of any proposed effective infrared description.
  • A large-volume limit exists in which the memory effect vanishes and conventional local Wilsonian renormalisation is recovered.
  • The BRTN supplies a concrete, calculable setting in which the consequences of UV/IR mixing can be tracked scale by scale.
  • Radiative corrections arise naturally once the vacuum is prepared on the reciprocal network.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same bridge construction could be used to quantify scale mixing in non-commutative field theories or in holographic models where UV and IR degrees of freedom are already known to mix.
  • If the entanglement criterion holds, it offers a practical diagnostic for when effective-field-theory techniques remain reliable in regimes previously considered marginal.
  • The large-volume restoration of Wilsonian behaviour suggests that many apparent non-local effects in finite-volume calculations may be artefacts that disappear in the thermodynamic limit.

Load-bearing premise

The Born-Reciprocal Tensor Network correctly encodes the physics of UV/IR mixing and that preparing the vacuum on it reproduces radiative corrections without hidden fitting parameters or extra assumptions about the network geometry.

What would settle it

An explicit calculation of a known one-loop radiative correction in a concrete UV/IR-mixed model performed directly on the BRTN that fails to match the standard field-theory result without additional tuning.

Figures

Figures reproduced from arXiv: 2606.17147 by Steven Abel.

Figure 1
Figure 1. Figure 1: Wilsonian integration versus tensor network coarse-graining for the trivial case. The former is a trace over redundant degrees of freedom, which results in local coarse-graining and a mixed state. The TTN retains all degrees of freedom and remains pure. tracing operation can be represented by a single node as in Fig. 1a, in which the box represents what is left after tracing over the redundant factor in th… view at source ↗
Figure 2
Figure 2. Figure 2: A two leaf-node TTN (4 physical legs). the reduced density matrix should we choose to coarse-grain and integrate out the redundant degrees of freedom, whereupon we would find ρeff = λ 2 δ |δ⟩⟨δ|, and hence von Neumann entropy − P δ λ 2 δ log λ 2 δ . As in our previous example, this would represent the entropy of the system if we were to keep only the Hilbert subspace spanned by the block basis states |δ⟩ c… view at source ↗
Figure 3
Figure 3. Figure 3: An eight leaf node TTN with two sets of physical indices An and Bn. This is a prototypical set-up for a one dimensional QFT with two scalar fields ϕA and ϕB discretized over eight space points X1...8 as the quadrature variables of the local Hilbert spaces, ϕA ≡ qˆA,n and ϕB ≡ qˆB,n respectively. Highlighted in red is the path connecting points A2 and A3 through their lowest common ancestor (LCA) at N1, whi… view at source ↗
Figure 4
Figure 4. Figure 4: A more symmetrical version of a TTN in which every node, including the root node, carries three indices. The bulk encodes the renormalisation geometry while the physical degrees of freedom live on the boundary. In the gapped system that we consider here we do not need to impose hyperbolic tiling: if one does so then in principle the root node no longer occupies a special position. time evolution using time… view at source ↗
Figure 5
Figure 5. Figure 5: Comparison of the structure factor of the QFT vacuum versus the theoretical one, for the free field with N = 128 space points, and mass m = 1 in the potential. Here we take local DVR Hilbert space of dimension 6, cut-off of 1 × 10−6 and maximum bond dimension of 20. The best fit has meff = 0.982 and C0 = −5 × 10−4 . halves: hence the information contained in the “missing half” is maximised in the middle. T… view at source ↗
Figure 6
Figure 6. Figure 6: Bond entropy with depth in the standard TTN, showing characteristic peaking in the centre, where the bonds are dividing the global system into roughly equally sized subsystems. X1 K1 X2 K2 X3 K3 X4 K4 X5 K5 X6 K6 X7 K7 X8 K8 M1 M2 M3 M4 N1 N2 |Ψe ⟩ M′ 1 M′ 2 M′ 3 M′ 4 N′ 1 N′ 2 |Ψe ′ ⟩ [PITH_FULL_IMAGE:figures/full_fig_p019_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Born-reciprocal renormalisation geometry: the BRTN. In a genuinely Born-reciprocal theory, ϕB(Ki) is a dual field that is localised in momentum-space Ki...8, and is delocalised in position-space. The UV interface consists of pairwise links Xi ↔ Ki between position- and momentum-space sites. These bonds form the entanglement bridge. Global Born-reciprocity consists of exchanging Xi ↔ Ki and the fields ϕA an… view at source ↗
Figure 8
Figure 8. Figure 8: One-loop contribution to a ϕA(x) tadpole from the reciprocal degrees of freedom in the trilinear model (left), and to ϕA − ϕB mixing (right). Both of these effects are cancelled by normal-ordering which corresponds to a localised counter-term. Definition 4.3 (Born-deformed theory with reciprocity angle ρ). A theory with reciprocity angle ρ has a coupling kernel fmn ∝ cos ρδmn + sin ρ eikmxn , such that Vρ … view at source ↗
Figure 9
Figure 9. Figure 9: Applying full Fourier bridge gates. The upper red path is the path that has to be traversed to implement the gate exp(−iδt Oα A (x4) Oα B (k1) ) biased on the X-side. The lower green path has to be traversed to implement the gate exp(−iδt(Oα A (x5) Oα B (k7)) biased on the K-side. Biasing is alternated with sweeps. For certain applications we can perform the full path for only the ‘near-field’ gates, and u… view at source ↗
Figure 10
Figure 10. Figure 10: Typical evolution of the averaged local energy estimator, used as a proxy to track convergence to the QFT vacuum: this example is for the λ = 1.5 vacuum in [PITH_FULL_IMAGE:figures/full_fig_p036_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: A typical example of average bond entropy versus depth in the BRTN, with bridge coupling λ = 1.5. – 35 – [PITH_FULL_IMAGE:figures/full_fig_p036_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: The 128 space-node BRTN in its ground state for the test case, showing the bond-entanglement. (The physical legs emanating from the leaf nodes are not shown.) Line thickness indicates bond entropy. Bond entropy is largest for mid-level bonds and small at the bridge bonds and the exterior bonds. 6 Test case: Vacuum preparation and radiative mass corrections in a QFT of two scalars 6.1 Vacuum preparation We… view at source ↗
Figure 13
Figure 13. Figure 13: The radiative corrections to the mass-squared from the ‘reciprocal’ degrees of freedom in the test case corresponds to just a standard bubble diagram for a theory of two scalars with λeff = λ/4. to acquire a δτ -dependent offset, and also to depend on the ‘sweep direction’. The latter dependence is reduced by the aforementioned procedure of reversing sweep direction at each time step. In this study we wil… view at source ↗
Figure 14
Figure 14. Figure 14: Comparison of the structure factor of the QFT vacuum in the BRTN, for the field with bare mass m = 1, and various values of bridge coupling, λ. Here we take local DVR Hilbert space of dimension 6, cut-off of 1 × 10−6 , and a maximum bond dimension of 20. The best fit values of the effective mass and shift C0 are shown for λ = 0, 1.5, 5.0. The near perfect fit indicates dominant mass renormalisation. 0 1 2… view at source ↗
Figure 15
Figure 15. Figure 15: The mass meff in the two scalar field test case, deduced by measuring the structure factor, and compared with the mass obtained using the bubble diagram of [PITH_FULL_IMAGE:figures/full_fig_p039_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: Correlators measured in the native coordinates on the g = 0 BRTN lattice compared to the ideal. Deviation is due to truncation on the lattice. Further small deviations will arise due to radiative corrections caused by non-zero g. This can be used to motivate a near-field approach to measuring the self-energy, Σ. – 42 – [PITH_FULL_IMAGE:figures/full_fig_p043_16.png] view at source ↗
Figure 17
Figure 17. Figure 17: The field profile induced at the boundary due to the one-loop tadpole in [PITH_FULL_IMAGE:figures/full_fig_p045_17.png] view at source ↗
Figure 18
Figure 18. Figure 18: Boundary field value ⟨qA,0⟩ versus coupling g with the non-normal-ordered trilinear bridge coupling, and with quartic coupling λ4ϕ 4 A with λ4 = 0.25 on an N = 64 BRTN lattice. The yellow dashed line shows the predicted field value using the Hartree approximation, i.e. solving Eq. (7.9), with the decoupled effective mass meff with g = 0, i.e. with m2 eff = m2 + 12λ4v (g=0) A . The solid red line shows the… view at source ↗
Figure 19
Figure 19. Figure 19: One-loop contributions to the self-energy ΣA(K, K′ ) and to the mixing term ΣAB(K, K′ ) from the reciprocal degrees of freedom in the trilinear model. qˆA and qˆB having charges −1 and +1 respectively). (In the theory with potential V (odd) bridge there is in principle a three loop diagram that gives ϕA − ϕB mixing.) Let us estimate these terms using the same perturbative approximations that we used for t… view at source ↗
read the original abstract

Renormalisation is traditionally understood to be a Wilsonian memoryless process in which ultraviolet (UV) degrees of freedom gradually decouple, leaving an autonomous infrared (IR) description. However this need not be the case: in UV/IR mixed theories correlations between widely separated scales can persist. In this work I recast UV/IR mixing as a Hilbert-space phenomenon, realised as correlations across renormalisation scales. This formulation is implemented using the Born-Reciprocal Tensor Network (BRTN), a new configuration of tensor network that is globally symmetric under phase-space reciprocity. On this network I prepare the vacuum and reproduce the expected radiative corrections. The resulting renormalisation geometry exhibits memory, with a bridge linking reciprocal representations of IR physics, whose cross-bridge entanglement provides a precise criterion for the viability of an effective description. I analyse when this criterion is met, and show that there is a large-volume limit, with the fundamental scale held fixed, in which the obstruction to a local description scales away: Wilsonian behaviour is restored and renormalisation forgets. The BRTN therefore provides a concrete and calculable platform for UV/IR mixing.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript recasts UV/IR mixing in QFT as Hilbert-space correlations across renormalization scales, implemented via a new Born-Reciprocal Tensor Network (BRTN) that is globally symmetric under phase-space reciprocity. The vacuum is prepared on the BRTN to reproduce expected radiative corrections; the resulting renormalization geometry exhibits memory via a bridge linking reciprocal IR representations, with cross-bridge entanglement serving as a criterion for effective-description viability. The paper analyzes when this criterion holds and demonstrates a large-volume limit (fundamental scale fixed) in which the obstruction to a local description scales away, restoring Wilsonian behavior.

Significance. If the BRTN is shown to derive the reciprocity symmetry and radiative corrections from the underlying QFT without ansatz-dependent fitting, the work supplies a concrete, calculable tensor-network platform for UV/IR mixing as an entanglement phenomenon. The large-volume restoration of locality would be a substantive result with implications for when effective descriptions remain viable. The manuscript ships an explicit construction and a falsifiable scaling limit, which are strengths.

major comments (2)
  1. [Abstract / BRTN definition] The abstract states that the BRTN is 'globally symmetric under phase-space reciprocity' and that vacuum preparation 'reproduces the expected radiative corrections,' but provides no derivation showing the symmetry emerges from the QFT rather than being imposed by the network geometry. If reciprocity is an input, the cross-bridge entanglement criterion and the large-volume restoration become properties of the chosen ansatz (see skeptic note on BRTN construction).
  2. [Large-volume limit analysis] The central claim that 'there is a large-volume limit, with the fundamental scale held fixed, in which the obstruction to a local description scales away' requires an explicit scaling relation or equation demonstrating how cross-bridge entanglement vanishes with volume while the fundamental scale is held fixed. Without this, the restoration of Wilsonian behaviour is not yet load-bearing.
minor comments (2)
  1. Notation for the BRTN and the 'bridge' should be defined with an explicit figure or diagram early in the text to clarify the geometry.
  2. The phrase 'reproduce the expected radiative corrections' should be accompanied by a direct comparison (e.g., to a known loop integral or beta-function) to make the reproduction check falsifiable.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their detailed review and valuable feedback on our work. Below we address each major comment in turn.

read point-by-point responses
  1. Referee: [Abstract / BRTN definition] The abstract states that the BRTN is 'globally symmetric under phase-space reciprocity' and that vacuum preparation 'reproduces the expected radiative corrections,' but provides no derivation showing the symmetry emerges from the QFT rather than being imposed by the network geometry. If reciprocity is an input, the cross-bridge entanglement criterion and the large-volume restoration become properties of the chosen ansatz (see skeptic note on BRTN construction).

    Authors: The Born-Reciprocal Tensor Network is presented as a novel tensor network architecture explicitly constructed to exhibit global symmetry under phase-space reciprocity. This feature is built into the network geometry to model the reciprocal relations characteristic of UV/IR mixing. The vacuum preparation on the BRTN is chosen to match the expected radiative corrections from standard calculations in such theories. While we do not derive the reciprocity from a specific underlying QFT Lagrangian in this work, the BRTN serves as a concrete, calculable platform to explore UV/IR mixing as an entanglement bridge. We will revise the abstract and introduction to emphasize that the symmetry is a defining property of the BRTN construction rather than an emergent feature derived ab initio from QFT. revision: yes

  2. Referee: [Large-volume limit analysis] The central claim that 'there is a large-volume limit, with the fundamental scale held fixed, in which the obstruction to a local description scales away' requires an explicit scaling relation or equation demonstrating how cross-bridge entanglement vanishes with volume while the fundamental scale is held fixed. Without this, the restoration of Wilsonian behaviour is not yet load-bearing.

    Authors: Section 4 of the manuscript analyzes the large-volume limit, showing that as the volume increases with the fundamental scale fixed, the cross-bridge entanglement decreases, leading to the restoration of Wilsonian behavior. To strengthen this claim and make it more explicit, we will add the specific scaling relation for the entanglement entropy or correlation measure as a function of volume in the revised manuscript, including the equation that demonstrates the vanishing of the obstruction. revision: yes

Circularity Check

0 steps flagged

BRTN introduced as new symmetric network; no equations show predictions reduce to inputs by construction

full rationale

The paper defines the BRTN as a new tensor network that is globally symmetric under phase-space reciprocity, then prepares the vacuum on it to reproduce expected radiative corrections and derives memory via cross-bridge entanglement. No equations, self-citations to prior uniqueness results, or fitted parameters are quoted that would make the large-volume restoration of Wilsonian behaviour or the entanglement criterion tautological with the network definition. The construction is presented as an exploratory Hilbert-space reformulation rather than a reduction to prior inputs, so the derivation chain remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 1 invented entities

Based solely on the abstract, the central claim rests on the validity of the BRTN as a faithful representation of renormalization geometry and on the assumption that vacuum preparation on it reproduces standard radiative corrections.

invented entities (1)
  • Born-Reciprocal Tensor Network (BRTN) no independent evidence
    purpose: To implement UV/IR mixing as scale-entanglement with global phase-space reciprocity
    Newly introduced configuration described in the abstract; no independent evidence supplied.

pith-pipeline@v0.9.1-grok · 5720 in / 1102 out tokens · 33410 ms · 2026-06-27T03:08:42.622759+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

67 extracted references · 8 canonical work pages

  1. [1]

    Infrared Singularities and Massive Fields,

    T. Appelquist and J. Carazzone, “Infrared Singularities and Massive Fields,” Phys. Rev. D11 (1975) 2856

  2. [2]

    The renormalization group and critical phenomena,

    K. G. Wilson, “The renormalization group and critical phenomena,” Rev. Mod. Phys.55(1983) 583–600

  3. [3]

    String theory and noncommutative geometry,

    N. Seiberg and E. Witten, “String theory and noncommutative geometry,” JHEP09(1999) 032, [hep-th/9908142]

  4. [4]

    Noncommutative perturbative dynamics,

    S. Minwalla, M. Van Raamsdonk, and N. Seiberg, “Noncommutative perturbative dynamics,” JHEP 02(2000) 020, [hep-th/9912072]

  5. [5]

    The IR/UV connection in noncommutative gauge theories,

    A. Matusis, L. Susskind, and N. Toumbas, “The IR/UV connection in noncommutative gauge theories,” JHEP12(2000) 002, [hep-th/0002075]

  6. [6]

    When Effective Field Theories Fail,

    J. F. Donoghue, “When Effective Field Theories Fail,” PoSEFT09(2009) 001, [arXiv:0909.0021 [hep-ph]]

  7. [7]

    Effective field theory, black holes, and the cosmological constant,

    A. G. Cohen, D. B. Kaplan, and A. E. Nelson, “Effective field theory, black holes, and the cosmological constant,” Phys. Rev. Lett.82(1999) 4971–4974, [arXiv:hep-th/9803132]

  8. [8]

    Solving the hierarchy problem without supersymmetry or extra dimensions: An Alternative approach,

    K. R. Dienes, “Solving the hierarchy problem without supersymmetry or extra dimensions: An Alternative approach,” Nucl. Phys. B611(2001) 146–178, [arXiv:hep-ph/0104274]

  9. [9]

    Scalar Fields, Hierarchical UV/IR Mixing and The Weak Gravity Conjecture,

    D. Lust and E. Palti, “Scalar Fields, Hierarchical UV/IR Mixing and The Weak Gravity Conjecture,” JHEP02(2018) 040, [arXiv:1709.01790 [hep-th]]

  10. [10]

    IR Dynamics from UV Divergences: UV/IR Mixing, NCFT, and the Hierarchy Problem,

    N. Craig and S. Koren, “IR Dynamics from UV Divergences: UV/IR Mixing, NCFT, and the Hierarchy Problem,” JHEP03(2020) 037, [arXiv:1909.01365 [hep-ph]]

  11. [11]

    Calculating the Higgs mass in string theory,

    S. Abel and K. R. Dienes, “Calculating the Higgs mass in string theory,” Phys. Rev. D104no. 12, (2021) 126032, [arXiv:2106.04622 [hep-th]]

  12. [12]

    Naturalness and the muon magnetic moment,

    N. Arkani-Hamed and K. Harigaya, “Naturalness and the muon magnetic moment,” JHEP09 (2021) 025, [arXiv:2106.01373 [hep-ph]]

  13. [13]

    IR/UV mixing, towers of species and swampland conjectures,

    A. Castellano, A. Herráez, and L. E. Ibáñez, “IR/UV mixing, towers of species and swampland conjectures,” JHEP08(2022) 217, [arXiv:2112.10796 [hep-th]]

  14. [14]

    Naturalness: past, present, and future,

    N. Craig, “Naturalness: past, present, and future,” Eur. Phys. J. C83no. 9, (2023) 825, [arXiv:2205.05708 [hep-ph]]

  15. [15]

    UV/IR mixing, causal diamonds and the electroweak hierarchy problem,

    T. W. Kephart and H. Päs, “UV/IR mixing, causal diamonds and the electroweak hierarchy problem,” Mod. Phys. Lett. A40no. 21n22, (2025) 2550076, [arXiv:2209.03305 [hep-ph]]

  16. [16]

    Running of gauge couplings in string theory,

    S. Abel, K. R. Dienes, and L. A. Nutricati, “Running of gauge couplings in string theory,” Phys. Rev. D107no. 12, (2023) 126019, [arXiv:2303.08534 [hep-th]]

  17. [17]

    New nonrenormalization theorem from UV/IR mixing,

    S. Abel, K. R. Dienes, and L. A. Nutricati, “New nonrenormalization theorem from UV/IR mixing,” Phys. Rev. D110no. 12, (2024) 126021, [arXiv:2407.11160 [hep-th]]

  18. [18]

    Light Scalars in Light of UV/IR Mixing: Classicalization via Synergy between Vainshtein & Chameleon Screenings,

    F. Nortier, “Light Scalars in Light of UV/IR Mixing: Classicalization via Synergy between Vainshtein & Chameleon Screenings,” [arXiv:2511.01739 [hep-ph]]. – 56 –

  19. [19]

    Cosmological constraints from UV/IR mixing,

    N. Cribiori and F. Tonioni, “Cosmological constraints from UV/IR mixing,” JHEP02(2026) 035, [arXiv:2507.02738 [hep-th]]

  20. [20]

    UV/IR relations from the worldsheet,

    C. Aoufia, I. Basile, G. Leone, and M. Lotito, “UV/IR relations from the worldsheet,” [arXiv:2603.11157 [hep-th]]

  21. [21]

    Classical simulation of quantum many-body systems with a tree tensor network,

    Y.-Y. Shi, L.-M. Duan, and G. Vidal, “Classical simulation of quantum many-body systems with a tree tensor network,” Phys. Rev. A74(2006) 022320

  22. [22]

    Entanglement entropy and quantum field theory,

    P. Calabrese and J. L. Cardy, “Entanglement entropy and quantum field theory,” J. Stat. Mech. 0406(2004) P06002, [arXiv:hep-th/0405152]

  23. [23]

    Entanglement Entropy and Quantum Field Theory: a Non-technical Introduction,

    P. Calabrese and J. L. Cardy, “Entanglement Entropy and Quantum Field Theory: a Non-technical Introduction,” Int. J. Quant. Inf.04no. 03, (2006) 429–438, [arXiv:quant-ph/0505193]

  24. [24]

    Entanglement renormalization,

    G. Vidal, “Entanglement renormalization,” Phys. Rev. Lett.99(2007) 220405, [cond-mat/0512165]

  25. [25]

    Towards a derivation of holographic entanglement entropy,

    H. Casini, M. Huerta, and R. C. Myers, “Towards a derivation of holographic entanglement entropy,” JHEP05(2011) 036, [arXiv:1102.0440 [hep-th]]

  26. [26]

    On the RG running of the entanglement entropy of a circle,

    H. Casini and M. Huerta, “On the RG running of the entanglement entropy of a circle,” Phys. Rev. D85(2012) 125016, [arXiv:1202.5650 [hep-th]]

  27. [27]

    Density matrix formulation for quantum renormalization groups,

    S. R. White, “Density matrix formulation for quantum renormalization groups,” Phys. Rev. Lett.69 (1992) 2863–2866

  28. [28]

    Density-matrix algorithms for quantum renormalization groups,

    S. R. White, “Density-matrix algorithms for quantum renormalization groups,” Phys. Rev. B48 (1993) 10345–10356

  29. [29]

    Thermodynamic limit of density matrix renormalization,

    S. Ostlund and S. Rommer, “Thermodynamic limit of density matrix renormalization,” Phys. Rev. Lett.75(1995) 3537–3540

  30. [30]

    Finitely correlated states on quantum spin chains,

    M. Fannes, B. Nachtergaele, and R. F. Werner, “Finitely correlated states on quantum spin chains,” Commun. Math. Phys.144(1992) 443–490

  31. [31]

    Density matrix renormalization group and periodic boundary conditions: A quantum information perspective,

    F. Verstraete, D. Porras, and J. I. Cirac, “Density matrix renormalization group and periodic boundary conditions: A quantum information perspective,” Phys. Rev. Lett.93(2004) 227205, [cond-mat/0404706]

  32. [32]

    Renormalization algorithms for quantum-many body systems in two and higher dimensions,

    F. Verstraete and J. I. Cirac, “Renormalization algorithms for quantum-many body systems in two and higher dimensions,” arXiv preprint (2004) , [cond-mat/0407066]

  33. [33]

    Matrix product state representations,

    D. Perez-Garcia, F. Verstraete, M. M. Wolf, and J. I. Cirac, “Matrix product state representations,” Quantum Inf. Comput.7(2007) 401–430, [quant-ph/0608197]

  34. [34]

    The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems,

    P. Silvi, F. Tschirsich, M. Gerster, J. JÃŒnemann, D. Jaschke, M. Rizzi, and S. Montangero, “The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems,” SciPost Phys. Lect. Notes (2019) 8.https://scipost.org/10.21468/SciPostPhysLectNotes.8

  35. [35]

    Class of quantum many-body states that can be efficiently simulated,

    G. Vidal, “Class of quantum many-body states that can be efficiently simulated,” Phys. Rev. Lett. 101(2008) 110501

  36. [36]

    Tensor renormalization group approach to two-dimensional classical lattice models,

    M. Levin and C. P. Nave, “Tensor renormalization group approach to two-dimensional classical lattice models,” Phys. Rev. Lett.99(2007) 120601, [cond-mat/0611687]

  37. [37]

    Entanglement Renormalization and Holography,

    B. Swingle, “Entanglement Renormalization and Holography,” Phys. Rev. D86(2012) 065007, [arXiv:0905.1317 [cond-mat.str-el]]

  38. [38]

    Tensor network renormalization,

    G. Evenbly and G. Vidal, “Tensor network renormalization,” Phys. Rev. Lett.115(2015) 180405, [1412.0732]. – 57 –

  39. [39]

    Holographic quantum error-correcting codes: Toy models for the bulk/boundary correspondence,

    F. Pastawski, B. Yoshida, D. Harlow, and J. Preskill, “Holographic quantum error-correcting codes: Toy models for the bulk/boundary correspondence,” JHEP06(2015) 149, [arXiv:1503.06237 [hep-th]]

  40. [40]

    TASI Lectures on the Emergence of Bulk Physics in AdS/CFT,

    D. Harlow, “TASI Lectures on the Emergence of Bulk Physics in AdS/CFT,” PoST ASI2017 (2018) 002, [arXiv:1802.01040 [hep-th]]

  41. [41]

    From Entanglement to Dynamics: Scattering and Decay in UV/IR-Mixed Theories,

    S. Abel, “From Entanglement to Dynamics: Scattering and Decay in UV/IR-Mixed Theories,”

  42. [42]

    The itensor software library for tensor network calculations,

    M. Fishman, S. R. White, and E. M. Stoudenmire, “The ITensor Software Library for Tensor Network Calculations,” SciPost Phys. Codebases (2022) 4. https://scipost.org/10.21468/SciPostPhysCodeb.4

  43. [43]

    Codebase release 0.3 for ITensor,

    M. Fishman, S. R. White, and E. M. Stoudenmire, “Codebase release 0.3 for ITensor,” SciPost Phys. Codebases (2022) 4–r0.3.https://scipost.org/10.21468/SciPostPhysCodeb.4-r0.3

  44. [44]

    Time-dependent variational principle for quantum lattices,

    J. Haegeman, J. I. Cirac, T. J. Osborne, I. Pizorn, H. Verschelde, and F. Verstraete, “Time-dependent variational principle for quantum lattices,” Phys. Rev. Lett.107(2011) 070601, [arXiv:1103.0936 [cond-mat.str-el]]

  45. [45]

    Time integration of tensor trains,

    C. Lubich, I. V. Oseledets, and B. Vandereycken, “Time integration of tensor trains,” SIAM Journal on Numerical Analysis53no. 2, (2015) 917–941, [arXiv:1407.2042 [math.NA]]

  46. [46]

    Time-evolution methods for matrix-product states,

    S. Paeckel, T. Köhler, A. Swoboda, S. R. Manmana, U. Schollwöck, and C. Hubig, “Time-evolution methods for matrix-product states,” Annals Phys.411(2019) 167998, [arXiv:1901.05824 [cond-mat.str-el]]

  47. [47]

    The alternating linear scheme for tensor optimization in the hierarchical tucker format,

    S. Holtz, T. Rohwedder, and R. Schneider, “The alternating linear scheme for tensor optimization in the hierarchical tucker format,” SIAM Journal on Scientific Computing34no. 2, (2012) A683–A713, [arXiv:1104.2260 [math.NA]]

  48. [48]

    Dynamical approximation by hierarchical tucker and tensor-train formats,

    C. Lubich, T. Rohwedder, R. Schneider, and B. Vandereycken, “Dynamical approximation by hierarchical tucker and tensor-train formats,” SIAM Journal on Matrix Analysis and Applications 34no. 2, (2013) 470–494, [arXiv:1206.4203 [math.NA]]

  49. [49]

    Unifying time evolution and optimization with matrix product states,

    J. Haegeman, C. Lubich, I. Oseledets, B. Vandereycken, and F. Verstraete, “Unifying time evolution and optimization with matrix product states,” Phys. Rev. B94(2016) 165116, [arXiv:1408.5056 [quant-ph]]

  50. [50]

    Entanglement generation in (1+1)D QED scattering processes,

    M. Rigobello, S. Notarnicola, G. Magnifico, and S. Montangero, “Entanglement generation in (1+1)D QED scattering processes,” Phys. Rev. D104no. 11, (2021) 114501, [arXiv:2105.03445 [hep-lat]]

  51. [51]

    Simulating(2 + 1)Dsu(2) yang-mills lattice gauge theory at finite density with tensor networks,

    G. Cataldi, G. Magnifico, P. Silvi, and S. Montangero, “Simulating(2 + 1)Dsu(2) yang-mills lattice gauge theory at finite density with tensor networks,” Phys. Rev. Res.6(Jul, 2024) 033057. https://link.aps.org/doi/10.1103/PhysRevResearch.6.033057

  52. [52]

    Quantum computing for high-energy physics: State of the art and challenges,

    A. Di Meglio, K. Jansen, I. Tavernelli, C. Alexandrou, S. Arunachalam, C. W. Bauer, K. Borras, S. Carrazza, A. Crippa, V. Croft, R. de Putter, A. Delgado, V. Dunjko, D. J. Egger, E. Fernández-Combarro, E. Fuchs, L. Funcke, D. González-Cuadra, M. Grossi, J. C. Halimeh, Z. Holmes, S. Kühn, D. Lacroix, R. Lewis, D. Lucchesi, M. L. Martinez, F. Meloni, A. Mez...

  53. [53]

    Simulating quantum field theories on continuous-variable quantum computers,

    S. Abel, M. Spannowsky, and S. Williams, “Simulating quantum field theories on continuous-variable quantum computers,” Phys. Rev. A110no. 1, (2024) 012607, [arXiv:2403.10619 [quant-ph]]

  54. [54]

    Real-Time Scattering Processes with Continuous-Variable Quantum Computers,

    S. Abel, M. Spannowsky, and S. Williams, “Real-Time Scattering Processes with Continuous-Variable Quantum Computers,” [arXiv:2502.01767 [quant-ph]]

  55. [55]

    Qumode Tensor Networks for False Vacuum Decay in Quantum Field Theory,

    S. Abel, M. Spannowsky, and S. Williams, “Qumode Tensor Networks for False Vacuum Decay in Quantum Field Theory,” [arXiv:2506.17388 [quant-ph]]

  56. [56]

    A novel discrete variable representation for quantum mechanical reactive scattering via the s-matrix kohn method,

    D. T. Colbert and W. H. Miller, “A novel discrete variable representation for quantum mechanical reactive scattering via the s-matrix kohn method,” The Journal of Chemical Physics96no. 3, (02,

  57. [57]

    1982–1991.https://doi.org/10.1063/1.462100

  58. [58]

    Approximation of semi-groups of operators.,

    H. F. Trotter, “Approximation of semi-groups of operators.,” Pacific Journal of Mathematics8 no. 4, (1958) 887 – 919

  59. [59]

    Decomposition formulas of exponential operators and lie exponentials with some applications to quantum mechanics and statistical physics,

    M. Suzuki, “Decomposition formulas of exponential operators and lie exponentials with some applications to quantum mechanics and statistical physics,” Journal of Mathematical Physics26 no. 4, (04, 1985) 601–612, [https://pubs.aip.org/aip/jmp/article-pdf/26/4/601/19120226/601_1_online.pdf]. https://doi.org/10.1063/1.526596

  60. [60]

    Reciprocity theory of elementary particles,

    M. Born, “Reciprocity theory of elementary particles,” Rev. Mod. Phys.21(Jul, 1949) 463–473. https://link.aps.org/doi/10.1103/RevModPhys.21.463

  61. [61]

    Hopf Algebras for Physics at the Planck Scale,

    S. Majid, “Hopf Algebras for Physics at the Planck Scale,” Class. Quant. Grav.5(1988) 1587–1606

  62. [62]

    Representations of the canonical group: (The Semidirect product of the unitary and Weyl-Heisenberg groups), acting as a dynamical group on noncommuting extended phase space,

    S. G. Low, “Representations of the canonical group: (The Semidirect product of the unitary and Weyl-Heisenberg groups), acting as a dynamical group on noncommuting extended phase space,” J. Phys. A35(2002) 5711–5730, [arXiv:math-ph/0101024]

  63. [63]

    Born Reciprocity in String Theory and the Nature of Spacetime,

    L. Freidel, R. G. Leigh, and D. Minic, “Born Reciprocity in String Theory and the Nature of Spacetime,” Phys. Lett. B730(2014) 302–306, [arXiv:1307.7080 [hep-th]]

  64. [64]

    Quantum Gravity, Dynamical Phase Space and String Theory,

    L. Freidel, R. G. Leigh, and D. Minic, “Quantum Gravity, Dynamical Phase Space and String Theory,” Int. J. Mod. Phys. D23no. 12, (2014) 1442006, [arXiv:1405.3949 [hep-th]]

  65. [65]

    Metastring Theory and Modular Space-time,

    L. Freidel, R. G. Leigh, and D. Minic, “Metastring Theory and Modular Space-time,” JHEP06 (2015) 006, [arXiv:1502.08005 [hep-th]]

  66. [66]

    Quantum Spaces are Modular,

    L. Freidel, R. G. Leigh, and D. Minic, “Quantum Spaces are Modular,” Phys. Rev. D94no. 10, (2016) 104052, [arXiv:1606.01829 [hep-th]]

  67. [67]

    Born reciprocity and the granularity of space-time,

    P. D. Jarvis and S. O. Morgan, “Born reciprocity and the granularity of space-time,” Found. Phys. Lett.19(2006) 501–517, [arXiv:math-ph/0508041]. – 59 –