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Switchbacks and the Bridge to Nowhere

Leonard Susskind, Ying Zhao

arXiv:1408.2823v1hep-thquant-ph

TL;DR

The paper asks how Einstein-Rosen bridges and quantum complexity should be understood for one-sided black holes and Hamiltonian evolution. It develops one-sided bridge solutions and applies complexity geometry to black-hole evolution, finding that bridge growth tracks state complexity while geometric methods describe scrambling and precursor complexity.

  • Problem

    The paper addresses how one-sided black holes can possess ERB-like bridges and how complexity should be defined for Hamiltonian black-hole evolution rather than random circuits.

    Source: §1 · p. 3
  • Method

    The paper generalizes ERBs to pure-state one-sided black holes, develops quantitative solutions, and applies Nielsen’s geometric formulation of complexity to scrambling and precursor evolution.

    Source: §1 · p. 3, §2 · p. 4, §4.2 · p. 18
  • Results

    One-sided black holes are attached to bridges that grow with time and track increasing state complexity, while their maximal-surface equations and results resemble those of two-sided black holes.

    Source: §1 · p. 3, §2 · pp. 4, 6
  • Takeaways & Limitations

    The paper connects bridge growth, quantum complexity, fast scrambling, and switchback-related precursor dynamics within a geometric framework.

    Source: §1 · p. 3, §4.2 · p. 18, §4.4 · p. 20

    Complexity cannot increase indefinitely: shorter geodesics must replace the tracked trajectory by the classical recurrence time ∼eK, although their earlier occurrence is not generally established.

    Source: §3.1 · p. 12, §5 · p. 29

Abstract

from arXiv · show

This paper is in three parts: Part 1 explains the relevance of Einstein-Rosen bridges for one-sided black holes. Like their two-sided counterparts, one-sided black holes are connected to ERBs whose growth tracks the increasing complexity of the quantum state. Quantitative solutions for one-sided ERBs are presented in the appendix. Part 2 calls attention to the work of Nielsen and collaborators on the geometry of quantum complexity. This geometric formulation of complexity provides a valuable tool for studying the evolution of complexity for systems such as black holes. Part 3 applies the Nielsen approach to geometrize two related black hole quantum phenomena: the rapid mixing of information through fast-scrambling; and the time dependence of the complexity of precursors, in particular the switchback effect.

1 Introduction

The paper extends the ERB–complexity correspondence to one-sided black holes and motivates Nielsen’s geometric approach for Hamiltonian black-hole evolution, including fast-scrambling and switchback phenomena.

1 Introduction

  • One-sided black holes can possess growing ERBs whose volume tracks the increasing computational complexity of the quantum state.This extends the correspondence previously discussed for two-sided black holes.Source: §1 · p. 2
  • The paper addresses the apparent tension between a pure, unentangled black hole and an ERB by introducing a growing “bridge-to-nowhere.”The proposed one-sided bridge grows with time while tracking complexity.Source: §1 · p. 3
  • Because black holes evolve through Hamiltonian dynamics rather than random circuits, gate-counting complexity is presented as an imperfect model for their evolution.The paper therefore seeks a complexity description better suited to Hamiltonian systems.Source: §1 · p. 3
  • Nielsen and collaborators’ continuum complexity geometry [5][6] is proposed as a tool for analyzing black-hole evolution.The paper applies this framework to fast-scrambling and the switchback effect associated with precursors and shockwave geometries [1] [9].Source: §1 · p. 3
  • The methods apply to both one- and two-sided cases, although the paper focuses on a single gauge-theory copy and a one-sided black hole.This is the stated convention for definiteness rather than a restriction of the methods.Source: §1 · p. 3

2 The Bridge to Nowhere

The paper defines a one-sided ERB through maximal-volume spatial hypersurfaces and finds that, after black-hole formation, its regulated volume grows and asymptotically approaches a fixed late-time surface.

2 The Bridge to Nowhere

  • The construction distinguishes one- and two-sided ERBs: entanglement can stitch two one-sided ERBs together, whereas two unentangled black holes have no internal connection.The paper uses ERB1 and ERB2 for the one- and two-sided cases.Source: §2 · pp. 3, 5, 6
  • The one-sided ERB is defined as the maximal-volume spacelike hypersurface ending on a chosen boundary sphere at time t.This construction parallels the two-sided case [1].Source: §2 · pp. 3–4
  • The maximal-surface equations are the same as for the two-sided black hole [1], and the resulting one-sided behavior is similar.The spatial volume requires regulation because it diverges at the ADS boundary; one option is counting only volume behind the horizon.Source: §2 · p. 4
  • At late times ERB1 approaches a fixed hypersurface, while finite-time growth occurs through stretching just inside the horizon.The green curve in Figure 2 represents the asymptotic late-time limit.Source: §2 · p. 4, Figure 2 · p. 5
  • After the shell forms the black hole, the ERB1 volume grows linearly with time, paralleling the linear growth of computational complexity.The complexity growth rate is stated as the black-hole entropy S times temperature T.Source: §2 · p. 6
  • Before shell crossing, ERB1 is a constant-time ADS slice; after crossing the shell, the portion beyond it is modified.The shell process is depicted in the Penrose diagram of Figure 1.Source: §2 · pp. 4, 6, Figure 1 · p. 4

3 The Geometry of Complexity

The paper geometrizes quantum complexity by treating unitary and state evolution as shortest paths on appropriately weighted spaces. This framework connects operator and state complexity to black-hole dynamics, including ERB growth and recurrence limits.

3.1 Operator Complexity

  • Operator complexity is modeled as shortest-path length in SU(2^K), with a cost metric that makes three-or-more-qubit directions expensive.Nielsen’s continuum construction replaces discrete gates with Hamiltonian-generated paths and geodesic distance.Source: §3.1 · pp. 9–11
  • The C-geometry is strongly anisotropic: geodesics avoid hard directions, and for q > 4K complexity becomes insensitive to the precise cost parameter.Most sectional curvatures are negative, so neighboring geodesics tend to separate exponentially.Source: §3.1 · pp. 11–12
  • For a fixed easy Hamiltonian, complexity grows linearly with time until a critical time s_c, when the original geodesic ceases to be shortest.This establishes rather than merely assumes early-time linear growth.Source: §3.1 · p. 11

3.2 State Complexity

  • State complexity is defined through the least-complex unitary mapping a simple reference state to the target, equivalently as minimum geodesic distance on projective Hilbert space.Different unentangled reference states remain within distance K, corresponding to one parallel-computing time step.Source: §3.2 · pp. 12–13
  • Quantum states typically have complexity of order e^K, require exponential time to reach, and take doubly exponential time to return to simplicity.This contrasts with classical configurations, whose maximum complexity is K/2 and whose recurrence time is 2^K.Source: §3.2 · pp. 13–14
  • For an AdS black hole, the ERB volume is proportional to state complexity, whose growth rate is tied to the entropy and temperature through S and T.The relation is reported as confirmed for the thermofield-double state and many shockwave deformations.Source: §3.2 · pp. 14–15

4 The Geometry of Precursors and Switchbacks

This section examines the geometry of precursors and switchbacks by relating precursor complexity and size to ERB evolution and C-geometry. It also compares precursor-size functions, while identifying limits and unresolved differences in their agreement.

4.1 Size and Complexity of Precursors

  • Precursors probe the complexity–ERB connection, and the section compares ERB response, random circuits, and C-geometry as three approaches to precursor complexity [1][5][6][9].Precursor size measures how strongly other qubits are causally influenced by W, while complexity is denoted CW(t).Source: §4.1 · p. 15

4.2 Quantum Circuit Analysis

  • In the Hayden–Preskill circuit, precursor size grows exponentially while small, saturates near K at the scrambling time, and precursor complexity sums the epidemic sizes.The scrambling time is t∗= l log K, and the size approaches its asymptotic value s →K.Source: §4.2 · pp. 17–19

4.3 Switchback Effect

  • The switchback effect removes gates that cancel between U(t) and U(−t), matching the cancellation found in Shenker–Stanford shockwave calculations [1].The same effect is later reproduced by Nielsen’s geometric treatment of complexity.Source: §4.3 · pp. 19–20

4.4 Complexity-geometry of Precursors

  • A precursor traces vertical evolution geodesics joined by a short horizontal W segment, while varying connecting geodesics generates a two-dimensional C2 surface.The horizontal geodesic lengths represent precursor complexity; the proposed metric is difficult to derive directly and is instead inferred and tested.Source: §4.4 · p. 21

4.5 Complexity Calculation

  • Uniform negative curvature in C2-geometry reproduces the quantum-circuit precursor complexity, including the switchback shift caused by minimum geodesic distance [5][6].The geometric result is described as significant evidence that precursor complexity is well captured by a C2-geometry with uniform negative curvature.Source: §4.5 · pp. 23–24

4.6 Size of Precursor

  • The proposed size geometry represents precursor size through tangent-line distances or approximately equivalent areas, but its geometric interpretation remains tentative.The area ratio is close to unity for times below scrambling, motivating speculation that an appropriately defined S is represented by the area A.Source: §4.6 · pp. 25–27
  • The three precursor-size functions are compared using plots of their values and ratios.Figure 10 plots the functions, while Figure 11 plots F2/F1 and F3/F1.Source: §4.6 · p. 28
  • Functions 4.43 and 4.41 are extremely close over most of the range, whereas 4.42 differs substantially.The same comparison is visible in the ratios F2/F1 and F3/F1.Source: §4.6 · p. 28
  • It remains unclear why F3 provides a better fit to F1 than F2.The paper explicitly leaves the explanation for this fitting difference unresolved.Source: §4.6 · p. 28

5 Questions

The paper closes by identifying open problems about Hawking-radiation extensions, geodesic cut points, precursor geometry, black-hole size, and the relation between general relativity and complexity.

  • Hawking radiation should turn the bridge-to-nowhere into a bridge-to-somewhere purified by the radiation, whose properties and circuit description remain open.Source: §5 · p. 29
  • An easy-Hamiltonian trajectory is geodesic but not always shortest; cut points may appear by the classical recurrence time and signal breakdown of the classical ERB description.Source: §5 · p. 29
  • The proposed C2 geometry captures expected precursor properties, but lacks a first-principles derivation and a demonstrated curvature of order −1/K^2.Source: §5 · pp. 29–30
  • The analysis is restricted to black holes whose radius equals the AdS radius l, leaving its extension to larger black holes partly unresolved.Source: §5 · p. 30
  • The broader unresolved issue is how much of general relativity is encoded in quantum complexity beyond the parallels already seen for ERB growth, precursors, and switchbacks.Source: §5 · p. 30

A Geometry of ERB1

The appendix computes the functional form of ERB1 for a one-sided BTZ black hole.

A.1 Metric

The one-sided BTZ geometry is constructed by matching empty AdS before a null shell to BTZ after the shock wave, with continuous coordinates across the shell.

  • The one-sided AdS black hole is formed by gravitational collapse of a spherical shell of null matter, with empty AdS before and BTZ after the shock wave.Source: §A.1 · pp. 30–31
  • The radial coordinate remains continuous across the shock wave, while boundary time coordinates are chosen continuous at r = ∞.Source: §A.1 · p. 31
  • Null coordinates are introduced separately in the AdS and BTZ regions so the matching condition requires continuity of both r and v across the shock wave.Source: §A.1 · pp. 31–32

A.2 Extremal Surface

The extremal surface is obtained by treating its radial profile as a mechanics problem across the AdS–BTZ shock, then analyzing its late-time approach to a limiting interior surface.

A.2 Extremal Surface

  • The extremal surface ends at boundary time t_b and is a constant-time disk in pure AdS when t_b < 0.Source: §A.2 · p. 32
  • The post-shock surface consists of an AdS disk and a BTZ segment parameterized by r = r(v), with conserved energy because the Lagrangian is independent of v.Source: §A.2 · p. 32
  • Across the shock wave, extremality requires continuity of the radial coordinate and its conjugate momentum p_r.Source: §A.2 · p. 33
  • At large time, the limiting surface lies entirely inside the horizon and approaches the r = r_m surface exponentially in the boundary-time coordinate.Source: §A.2 · pp. 34–35
  • The large-time area grows linearly because the surface spends most of its time near r = r_m, while the outer region contributes an approximately constant area.Source: §A.2 · pp. 35–36
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