REVIEW 5 major objections 5 minor 45 references
Holographic subregion complexity in a moving strongly coupled plasma
T0 review · 5 major / 5 minor · reviewed 2026-08-11 · deepseek-v4-flash
Pith's one-line read In a moving strongly coupled plasma, holographic subregion complexity grows with temperature, velocity, and strip length, and diverges as the square of the Lorentz factor as velocity approaches light speed, in d=2,3,4.
desk verdict A genuinely new numerical map of subregion complexity in boosted plasmas, but the universal gamma^2 claim is fitted from l=1 data only and is broader than the evidence. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the volume functional $V=\int dz\,dx\,\mathcal{V}$ for the region enclosed by the HRT surface in the boosted black brane background, with integrand (9) and the associated Euler-Lagrange equation (10). The load-bearing computational step is the finite-difference solution of this nonlinear PDE for $t(x,z)$, with boundary values taken from the HRT profile $(x_\pm(z), t_\pm(z))$; the iteration relaxes all grid nodes to a tolerance of order $10^{-6}$. The Lorentz factor enters through the metric function $g(z)=\gamma^2(z/z_h)^d$, so the $\gamma^2$ divergence of the complexity as $v\to1$ tracks the divergence of this metric coefficient. The subtracted quantities $\mathcal{C}$ and $\hat{\mathcal{C}}$ compare the complexity against the static-plasma and pure-AdS baselines, and the fitted form $a(T)\gamma^2+b(T)$ is what converts the numerical curves into the claimed universal scaling law.
What would settle it
Compute the same subtracted complexity at velocities closer to 1 (for example $v=0.999$) with a finer mesh and a convergence study, and extract the divergence exponent from a log-log plot of $\mathcal{C}$ versus $\gamma$ at fixed $T$ and $l$. If the exponent is not 2, or if the fitted function requires higher powers of $\gamma$, the claimed universal $\gamma^2$ divergence fails. An analytic derivation of the leading velocity dependence from the volume functional that yields a different Lorentz-factor power would also settle the question.
Extended reading notes
Core claim
The paper establishes numerically that for a strip-like subregion of length $l$ and infinite width in a $d$-dimensional strongly coupled plasma moving with constant velocity $v$ parallel to the strip's short edge, the holographic subregion complexity $C_A = V_{\gamma_A}/(8\pi G_N)$ is an increasing function of temperature $T$, velocity $v$, and subregion length $l$ for $d=2,3,4$. Working with the boosted black brane metric and using the HRT surface (the covariant extremal surface used in holographic entanglement entropy) as boundary data, the authors solve the nonlinear partial differential equation (10) for the extremal volume slice $t(x,z)$ by finite differences. Subtracting either the static-plasma value or the pure-AdS value gives the quantities $\mathcal{C}$ and $\hat{\mathcal{C}}$ defined in (11), both of which are positive and increase with all three parameters. Fitting the velocity dependence shows that as $v\to 1$ the complexity diverges as $a(T)\gamma^2+b(T)$, with $a,b\ll C_0$, so the divergence is characterized by the Lorentz factor squared $\gamma^2$; the same behavior is found in $d=2,3,4$ for arbitrary temperature and subregion length. The paper reads this as evidence for a universal $\gamma^2$ divergence for strip subregions when the plasma moves parallel to the short edge.
Load-bearing premise
The load-bearing premise is that equation (10) is the correct equation for the surface whose volume defines the complexity, and that it has a unique smooth solution matching the HRT surface; the paper states this without derivation, checks only one sample solution, and gives no mesh-convergence study.
Editorial extensions
If this is right
- Holographic subregion complexity of a strip region in a moving plasma is larger than in a static plasma at the same temperature, so specifying the mixed state requires more information once the plasma moves.
- As the plasma velocity approaches the speed of light, the subtracted complexity diverges like $\gamma^2$ for fixed $T$ and $l$ in $d=2,3,4$, making the divergence a candidate universal signature of the boost.
- For small subregion lengths ($T_l\gg T$) the complexity approaches the pure-AdS value, so short-distance probes are insensitive to both temperature and velocity.
- Higher boundary dimension increases the absolute value of the complexity and makes the differences between velocities and temperatures more pronounced at larger subregion lengths.
- At low temperature the velocity dependence is suppressed because the metric coefficients reduce to $f(z)\to1$ and $g(z)\to0$, recovering the static vacuum limit.
Reading between the lines
- The $\gamma^2$ scaling may reflect a kinematic boost effect rather than a dynamical property of the plasma; one way to test this is to repeat the calculation with the strip at an oblique angle to the boost direction and check whether the Lorentz-factor power changes.
- The same finite-difference pipeline could be applied to other mixed-state observables, such as the entanglement wedge cross-section or mutual information, to see whether they share the $\gamma^2$ tail; if they do, the divergence would be a general property of the boosted geometry rather than of the specific volume functional.
- The fitted form $a(T)\gamma^2+b(T)$ with $b\ll C_0$ suggests that in the strict large-$\gamma$ regime the subtracted complexity is controlled by a single temperature-dependent coefficient $a(T)$; deriving $a(T)$ analytically would turn the numerical fit into a closed-form prediction.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript computes holographic subregion complexity (HSC) for a strip-like boundary region in a boosted black-brane background in d = 2, 3, 4. The authors numerically solve a nonlinear PDE for the bulk profile t(x,z), using the HRT surface from [42] as boundary data, and then evaluate the enclosed volume. They report three qualitative results: HSC increases with plasma temperature T, boost velocity v, and strip length l; and as v approaches 1, the subtracted complexity C-C0 diverges as the Lorentz factor squared, gamma^2, which they tentatively call universal across dimensions, temperatures, and subregion lengths. The fits use the form a(T)gamma^2+b(T) and have small reported relative errors.
Significance. If the gamma^2 divergence and the monotonicity results are correct, the paper would provide the first all-temperature, all-velocity numerical treatment of holographic subregion complexity in this stationary moving-plasma background, going beyond the perturbative calculations of [39,40]. The numerical computation of a genuinely nonlinear PDE with HRT boundary data is nontrivial, and the small fit errors and the consistency with the perturbative gamma^2 result of [40] are genuine strengths. However, the paper's headline universality claim currently rests on a narrow set of fits and on an unproven identification of the fitted constant b with numerical error, so the significance of the paper depends on how much of that claim can be supported by additional evidence or by a more restricted statement.
major comments (5)
- [Numerical results, d=2 and d=3,4; Figs. 2 and 5] The central claim that the gamma^2 divergence holds for arbitrary subregion length l is not supported by the data: every velocity-scaling fit is performed at l=1. Figures 4, 7, and 8 vary l only at fixed v, which tests monotonicity but cannot determine the v->1 divergence exponent. To support the abstract and the conclusions, the authors should either extract the divergence exponent from data at several values of l (for example by fitting C as a function of gamma at each l and showing the coefficient scales consistently), or explicitly restrict the universality claim to l=1.
- [Numerical results; Figs. 2, 5, 6 and Appendix A] The claim of universality for arbitrary temperature is similarly not demonstrated. In d=2 the fits use only T=1/(6 pi) and T=1/(60 pi); in d=3 and d=4 each scaling fit is at a single temperature T=1/(4 pi). Moreover, Appendix A concedes that velocities close to one cannot be probed at high temperatures, so the v->1 exponent is not checked across a meaningful temperature range. The authors should either restrict the claim to the temperatures actually probed or perform fits at additional temperatures and show the gamma^2 coefficient and exponent are stable.
- [Holographic subregion complexity, Eq. (10)] Equation (10), the second-order nonlinear PDE that is the core of the paper's numerical method, is stated without derivation. Since the entire numerical computation and all subsequent claims depend on this equation, the authors should provide its derivation from the volume functional (8)-(9), or at least a clear reference where it is derived. They should also comment on the existence, uniqueness, and single-valuedness of the solution t(x,z) for the HRT boundary data, since the text asserts single-valuedness without discussion.
- [Appendix A and Fig. 10] The convergence evidence is not a mesh-convergence study. Figure 10 shows the number of unrelaxed grid nodes as a function of iteration count for one example at one set of parameters; it does not show how the computed complexity C depends on the mesh sizes Delta x and Delta z, nor does it quantify discretization error. This matters because the authors attribute the fitted constant b to numerical precision. I ask for a systematic grid-convergence test for the subtracted complexity, for example repeating a representative case at cell sizes 10^-3, 10^-4, and 10^-5, and reporting the resulting values of C and of the fitted b. Availability of the code and data would also substantially strengthen reproducibility.
- [Numerical results, d=2; Fig. 2 and text after it] The treatment of the constant b in the fit C_bar = a(T)gamma^2 + b(T) is not justified. The authors state that a and b are of the same order and that both are much smaller than C0, and they then conclude that b is due to numerical error. The comparison with C0 is irrelevant for this conclusion: b is comparable to a (for example, for T=1/(6 pi), a=0.9260 and b=-0.8898), so over the accessible velocity range the data are fit by a constant plus a gamma^2 term. The asymptotic v->1 exponent would still be gamma^2 if b is constant, but the stronger statement C proportional to a(T)gamma^2 requires b to vanish in the continuum limit. The authors should test this by increasing the numerical precision and by a mesh-convergence study, rather than inferring it from a and b being small compared with C0.
minor comments (5)
- [Introduction] There are several typos and reference formatting issues: 'Hubney' should be 'Hubeny' in the first occurrence and in reference [3]; Appendix A contains 'differntial'; reference [14] contains 'Infromation'; several arXiv identifiers are missing their archive prefix, e.g. [35] should read arXiv:hep-ph/0607062.
- [Equation (11) and surrounding text] The notation is potentially confusing because C is used both for the unsubtracted complexity in Eq. (4) and for the subtracted quantity in Eq. (11a). The authors should introduce distinct symbols for the two quantities and use them consistently in the figures and captions.
- [Fig. 2, right panel] The quantity Cv is used for dC/dv but is not defined before the figure; please define it explicitly and, if possible, state the numerical differentiation method used to obtain the slope.
- [Fig. 1 and Appendix A] The red and blue curves in Fig. 1 are described as the plus and minus branches but the caption does not say which color corresponds to which branch; in addition, the discretization details in Appendix A state the maximum cell size is O(10^-3) but do not specify how nx, nz, and the tolerance were chosen for each run.
- [Conclusions] The conclusions repeat the universality claim for 'all temperatures and subregion lengths', but the preceding numerical section explicitly notes that high temperatures cannot be probed near v->1. The wording should be reconciled with the actual data coverage so that the claim does not overstate the numerical evidence.
Circularity Check
No circularity: the γ² divergence is a fitted output of the numerical PDE solution, not an input; the arbitrary-T/l universality claim is an extrapolation (a correctness concern), not a circular reduction.
full rationale
The derivation chain is: boosted black-brane metric (1)–(2); Alishahiha's subregion-complexity proposal (4); volume functional (8)–(9); extremal PDE (10), stated without derivation; HRT profiles from [42] as boundary data; finite-difference solution; then a fit C(v)=a(T)γ²+b(T) to the numerically computed C(v). The γ² law is therefore an empirical fit to the output observable, not an input that defines the result, so it does not reduce by construction. The abstract's universal claim over arbitrary T and l goes beyond the fitted data (l=1 in all fits; only two temperatures for d=2 and one for d=3,4), and footnote 1 concedes high-T near-v→1 is numerically inaccessible; this is unsupported extrapolation, not circularity. The independent perturbative result of [40] by different authors provides external support for γ², and no load-bearing self-citation or imported uniqueness theorem is present. Omitted derivation of (10), lack of mesh-convergence study, and no code/data are correctness/reproducibility risks, not circular steps.
Assumptions & free parameters
free parameters (2)
- a(T) =
d=2: 0.9260 (T=pi/6), 0.0121 (T=pi/60); d=3: 5239.6824 (T=pi/4); d=4: 3.8888e6 (T=pi/4)
- b(T) =
d=2: -0.8898 (T=pi/6), -0.00884 (T=pi/60); d=3: -5150.1775; d=4: -3.8663e6
assumptions (5)
- domain assumption Boosted black brane metric (1) is the correct holographic dual of a strongly coupled plasma moving with constant velocity.
- domain assumption Subregion complexity is given by the volume enclosed by the HRT surface, C_A = V/(8 pi G_N), from [19].
- ad hoc to paper The volume functional (8)-(9) and Euler-Lagrange equation (10) are correct.
- domain assumption The HRT surface profiles (x±(z), t±(z)) from [42] are correct for the boosted black brane.
- ad hoc to paper The fit ansatz a(T)gamma^2+b(T) captures the true velocity dependence, with b attributable to numerical precision.
Cite this review
Pith. "Pith review of Holographic subregion complexity in a moving strongly coupled plasma." pith.science (2026). https://pith.science/paper/YWHHE4KO
@misc{pith2026241214755,
author = {Pith},
title = {Pith review of: Holographic subregion complexity in a moving strongly coupled plasma},
year = {2026},
howpublished = {\url{https://pith.science/paper/YWHHE4KO}},
note = {Machine review of arXiv:2412.14755}
}
read the original abstract
We study holographic subregion complexity in a moving strongly coupled plasma in dimensions d = 2, 3, 4, which is holographically dual to a boosted black brane metric in a higher dimensional geometry. The proposal we employ is the one that identifies the complexity of a mixed state by the volume of codimensional-one hypersurface enclosed by Hubeny-Rangamani-Takayanagi surface. Using the finite difference method, the numerical calculations reveal that temperature, velocity, and subregion length all have an increasing effect on holographic subregion complexity. For arbitrary values of temperature and subregion length, as velocity approaches its relativistic upper limit, holographic subregion complexity exhibits a divergence. This divergence behavior observed in d = 2, 3, 4 seems to demonstrate a universal behavior and is characterized by the Lorentz factor squared, {\gamma}2.
Figures
Figures from the paper (7 more)
Reference graph
Works this paper leans on
-
[40]
Mixed state information theoretic measures in boosted black brane,
Anirban Chowdhury Roy, Ashis Saha, Sunandan Gangopadhyay “Mixed state information theoretic measures in boosted black brane,” Annals Phys. 452 (2023) 169270, [arXiv:2204.08012[hep-th]]
arXiv 2023
-
[42]
Holographic entanglement entropy for relativistic hydrodynamic flows,
Jyotirmoy Bhattacharya, Parthajit Biswas, A. Chandranathan, Sayan Kumar Das, “Holographic entanglement entropy for relativistic hydrodynamic flows,” JHEP 05 (2023) 092, [arXiv:2211.14271[hep-th]]
arXiv 2023
-
[1]
Gauge/String Duality, Hot QCD and Heavy Ion Collisions,
J. Casalderrey-Solana, H. Liu, D. Mateos, K. Rajagopal and U. A. Wiedemann, “Gauge/String Duality, Hot QCD and Heavy Ion Collisions,” Cambridge University Press, 2014, [arXiv:1101.0618 [hep-th]]
arXiv 2014
-
[2]
Bottom up thermalization in heavy ion collisions,
R. Baier, A. H. Mueller, D. Schiff and D. T. Son, “Bottom up thermalization in heavy ion collisions,” Phys. Lett. B 502, 51 (2001) [arXiv:0009237 [hep-th]]
work page 2001
-
[3]
A Covariant holographic entanglement entropy proposal,
Veronika E. Hubney, Mukund Rangamani, Tadashi Takayanagi, “A Covariant holographic entanglement entropy proposal,” JHEP 07 (2007) 062, [arXiv:0705.0016[hep-th]]
arXiv 2007
-
[4]
Holographic Entanglement Entropy,
Mukund Rangamani and Tadashi Takayanagi, “Holographic Entanglement Entropy,” Lect.Notes Phys. 931 (2017) [arXiv:1609.01287[hep-th]]
arXiv 2017
-
[5]
Holographic confining-deconfining gauge theories and entanglement measures with a magnetic field,
Parul Jain, Siddhi Swarupa Jena, Subhash Mahapatra, “Holographic confining-deconfining gauge theories and entanglement measures with a magnetic field,” Phys. Rev. D 107 (2023) 8, 086016, [arXiv:2209.15355[hep-th]]
arXiv 2023
-
[6]
Holographic entanglement entropy, deformed black branes, and deconfinement in AdS/QCD,
Roldao da Rocha, “Holographic entanglement entropy, deformed black branes, and deconfinement in AdS/QCD,” Phys. Rev. D 105 (2022) 2, 026014, [arXiv:2111.01244[hep-th]]
arXiv 2022
Show all 45 references
-
[7]
Interplay between the holographic QCD phase diagram and entanglement entropy,
David Dudal, Subhash Mahapatra, “Interplay between the holographic QCD phase diagram and entanglement entropy,” JHEP 07 (2018) 120, [arXiv:1805.02938[hep-th]]
2018 arXiv
-
[8]
The entanglement properties of holographic QCD model with a critical end point,
Zhibin Li, Kun Xu, Mei Huang, “The entanglement properties of holographic QCD model with a critical end point,” Chin.Phys.C 45 (2021) 1, 013116, [arXiv:2002.08650[hep-th]]
2021 arXiv
-
[9]
Holographic entanglement entropy in anisotropic background with confinement-deconfinement phase transition,
Irina Ya. Aref’eva, Alexander Patrushev, Pavel Slepov, “Holographic entanglement entropy in anisotropic background with confinement-deconfinement phase transition,” JHEP 07 (2020) 043, [arXiv:2003.05847[hep-th]]
2020 arXiv
-
[10]
Mixed state entanglement measures as probe for confinement,
Parul Jain, Subhash Mahapatra, “Mixed state entanglement measures as probe for confinement,” Phys.Rev.D 102 (2020) 126022, [arXiv:2010.07702[hep-th]]
2020 arXiv
-
[11]
Holographic QCD, entanglement entropy, and critical temperature,
M. Ali-Akbari, M. Lezgi, “Holographic QCD, entanglement entropy, and critical temperature,” Phys.Rev.D 96 (2017) 8, 086014, [arXiv:1706.04335[hep-th]]
2017 arXiv
-
[12]
Entanglement entropy in a non-conformal background ,
M. Rahimi, M. Ali-Akbari, M. Lezgi, “Entanglement entropy in a non-conformal background ,” Phys.Lett.B 771 (2017) 583-587, [arXiv:1610.01835[hep-th]]
2017 arXiv
-
[13]
Quantum Computational Complexity,
John Watrous, “Quantum Computational Complexity,” [arXiv:0804.3401[quant-ph]]
-
[14]
Quantum Computation and Quantum Infromation,
Micheal A. Nielsen and Isaac L. Chuang, “Quantum Computation and Quantum Infromation,” Cambridge university press, (2010), 702 p
2010
-
[15]
Circuit complexity in quantum field theory,
R. Jefferson and R. C. Myers “Circuit complexity in quantum field theory,” JHEP 10 (2017) 107, [arXiv:1707.08570[quant- ph]]
2017 arXiv
-
[16]
Complexity and Shock Wave Geometries,
D. Stanford and L. Susskind, “Complexity and Shock Wave Geometries,” Phys. Rev. D 90, no.12, 126007 (2014) [arXiv:1406.2678[hep-th]]
2014 arXiv
-
[17]
Complexity, action, and black holes,
A. R. Brown, D. A. Roberts, L. Susskind, B. Swingle and Y. Zhao, “Complexity, action, and black holes,” Phys. Rev. D 93, no.8, 086006 (2016) [arXiv:1512.04993[hep-th]]
2016 arXiv
-
[18]
Comments on Holographic Complexity,
Dean Carmi, Robert C. Myers and Pratik Rath “Comments on Holographic Complexity,” JHEP 1703, 118 (2017) [arXiv:1612.00433[hep-th]]
2017 arXiv
-
[19]
Holographic complexity,
Mohsen Alishahiha, “Holographic complexity,” Phys. Rev. D. 92, 126009 (2015) [arXiv:1509.06614[hep-th]]
2015 arXiv
-
[20]
On Volumes of Subregions in Holography and Complexity,
Omer Ben-Ami, Dean Carmi, “On Volumes of Subregions in Holography and Complexity,” JHEP 1611, 129 (2016) [arXiv:1609.02514[hep-th]]
2016 arXiv
-
[21]
Complexity and phase transitions in a holographic QCD model,
S. J. Zhang, “Complexity and phase transitions in a holographic QCD model,” Nucl. Phys. B 929, 243 (2018) 11 [arXiv:1712.07583[hep-th]]
2018 arXiv
-
[22]
Subregion complexity in holographic thermalization with dS boundary,
S. J. Zhang, “Subregion complexity in holographic thermalization with dS boundary,” Eur.Phys.J.C 79 (2019) 8,715 [arXiv:1905.10605[hep-th]]
2019 arXiv
-
[23]
On subregion holographic complexity and renormalization group flows,
Pratim Roy, Tapobrata Sarkar, “On subregion holographic complexity and renormalization group flows,” Phys.Rev. D 97, 086018 (2018) [arXiv:1708.05313[hep-th]]
2018 arXiv
-
[24]
Complexity growth in flat spacetimes,
R Fareghbal and P Karimi, “Complexity growth in flat spacetimes,” Phys. Rev. D 98, no. 4, 046003 (2018) [arXiv:1806.07273[hep-th]]
2018 arXiv
-
[25]
Complexity Growth with Lifshitz Scaling and Hyperscaling Violation,
M.Alishahiha, A.Faraji Astaneh, M.R.Mohammadi Mozaffar and A.Mollabashi, “Complexity Growth with Lifshitz Scaling and Hyperscaling Violation,” JHEP 1807, 042 (2018) [arXiv:1802.06740 [hep-th]]
2018 arXiv
-
[26]
Subregion Action and Complexity,
M. Alishahiha, K. Babaei Velni and M. R. Mohammadi Mozaffar, “Subregion Action and Complexity,” Phys.Rev.D 99 (2019) 12, 126016, [arXiv:1809.06031 [hep-th]]
2019 arXiv
-
[27]
A note on holographic subregion complexity and QCD phase transition,
Mahsa Lezgi and Mohammad Ali-Akbari “A note on holographic subregion complexity and QCD phase transition, ” Phys. Rev. D 101, 026022 (2020) [arXiv:1908.01303[hep-th]]
2020 arXiv
-
[28]
On volume subregion complexity in non-conformal theories,
M. asadi, “On volume subregion complexity in non-conformal theories,” Eur.Phys.J.C 80 (2020) 7, 681 [arXiv:2004.11306[hep-th]]
2020 arXiv
-
[29]
Non-Conformality, Subregion Complexity and Meson Bind- ing
Mahsa Lezgi, Mohammad Ali-Akbari and Mohammad Asadi, “Non-Conformality, Subregion Complexity and Meson Bind- ing” Phys.Rev.D 104 (2021) 2, 026001, [arXiv:2011.11625[hep-th]]
2021 arXiv
-
[30]
Complexity and uncomplexity during energy injection,
Mahsa lezgi and Mohammad Ali-Akbari, “Complexity and uncomplexity during energy injection,” Phys.Rev.D 103 (2021) 12, 126024 [arXiv:2103.05023[hep-th]]
2021 arXiv
-
[31]
Note on stability and holographic subregion complexity,
Mohammad Ali-Akbari and Mahsa Lezgi, “Note on stability and holographic subregion complexity,” Eur.Phys.J.C 82 (2022) 2, 114, [arXiv:2110.05793[hep-th]]
2022 arXiv
-
[32]
Resource and stability near a critical point from the quantum information perspective,
Mohammad Ali-Akbari and Mahsa Lezgi, “Resource and stability near a critical point from the quantum information perspective,” Phys.Lett.B 842 (2023) 137954, [arXiv:2209.04623[hep-th]]
2023 arXiv
-
[33]
Subregion volume complexity under thermal and electromagnetic quenches,
Mohammad Ali-Akbari and Mahsa Lezgi, “Subregion volume complexity under thermal and electromagnetic quenches,” Phys.Rev.D, 108,(2023)8, 086023, [arXiv:2308.04900[hep-th]]
2023 arXiv
-
[34]
Complexity of scalar collapse in anti-de Sitter spacetime
Andrew R. Frey, Michael P. Grehan, Manu Srivastava, “Complexity of scalar collapse in anti-de Sitter spacetime” JHEP 12 (2021) 135, [arXiv:2110.09630[hep-th]]
2021 arXiv
-
[35]
An AdS/CFT Calculation of Screening in a Hot Wind,
Hong Liu, Krishna Rajagopal, Urs Achim Wiedemann, “An AdS/CFT Calculation of Screening in a Hot Wind,” Phys.Rev.Lett. 98 (2007) 182301, [arXiv:0607062[hep-ph]]
2007
-
[36]
Imaginary potential of heavy quarkonia moving in strongly coupled plasma,
M. Ali-Akbari, D. Giataganas, Z. Rezaei, “Imaginary potential of heavy quarkonia moving in strongly coupled plasma,” Phys.Rev.D 90 (2014)8, 086001, [arXiv:1406.1994[hep-ph]]
2014 arXiv
-
[37]
Relative Entropy and Holography,
David D. Blanco, Horacio Casini, Ling-Yan Hung, Robert C. Myers, “Relative Entropy and Holography,” JHEP 08 (2013) 060, [arXiv:1305.3182[hep-th]]
2013 arXiv
-
[38]
Entanglement asymmetry for boosted black branes and the bound,
Rohit Mishra, Harvendra Singh, “Entanglement asymmetry for boosted black branes and the bound,” Int.J.Mod.Phys.A 32 (2017) 16, [arXiv:1603.06058[hep-th]]
2017 arXiv
-
[39]
Holographic complexity of boosted black brane and Fisher infor- mation,
Sourav Karar, Rohit Mishra, Sunandan Gangopadhyay “Holographic complexity of boosted black brane and Fisher infor- mation,” Phys.Rev.D 100 (2019) 2,026006, [arXiv:1904.13090[hep-th]]
2019 arXiv
-
[41]
High temperature behavior of non-local ob- servables in boosted strongly coupled plasma: A holographic study,
Atanu Bhatta, Shankhadeep Chakrabortty, Suat Dengiz, Ercan Kilicarslan, “High temperature behavior of non-local ob- servables in boosted strongly coupled plasma: A holographic study,” Eur.Phys.J.C80 (2020) 7, 663, [arXiv:1909.03088[hep- th]]
2020 arXiv
-
[43]
Subsystem Complexity and Holography
Cesar A. Agon, Santa Barbara, Matthew Headrick, Brian Swingle, “Subsystem Complexity and Holography” JHEP 02 (2019) 145, [arXiv:1804.01561[hep-th]]
2019 arXiv
-
[44]
Numerical Techniques in Electromagnetics,
Matthew N.O. Sadiku, “Numerical Techniques in Electromagnetics,” Routledge publishing, (2000)
2000
-
[45]
On volume subregion complexity in Vaidya spacetime,
Roberto Auzzi, Giuseppe Nardelli, Fidel l. Schaposnik Massolo, Gianni Tallarita, Nicolo Zenoni, “On volume subregion complexity in Vaidya spacetime,” JHEP 11 (2019) 098, [arXiv:1908.10832[hep-th]]
2019 arXiv
Reviewed August 11, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.