# Probing localization and quantum geometry by spectroscopy

###### Abstract

The spatial localization of quantum states plays a central role in condensed-matter phenomena, ranging from many-body localization to topological matter. Building on the dissipation-fluctuation theorem, we propose that the localization properties of a quantum-engineered system can be probed by spectroscopy, namely, by measuring its excitation rate upon a periodic drive. We apply this method to various examples that are of direct experimental relevance in ultracold atomic gases, including Anderson localization, topological edge modes, and interacting particles in a harmonic trap. Moreover, inspired by a relation between quantum fluctuations and the quantum metric, we describe how our scheme can be generalized in view of extracting the full quantum-geometric tensor of many-body systems.

Localization plays a central role in various branches of quantum physics. In the context of solid state, the localization properties of electronic wavefunctions reflects the conductivity of materials, and signals the existence of insulating regimes Anderson:1958 (); Lee:1985 (); Kramer:1993 (); Beenakker:1997 (); Kudinov:1991 (); Resta:1999 (). This important relation between transport and the spatial localization of quantum states was already emphasized in the seminal work by Anderson on disordered lattice systems Anderson:1958 (). More recently, the discovery of topological states of matter revealed an interesting interplay between topology and localization: the bulk-boundary correspondence guarantees the existence of robust boundary modes, which are localized at the edge of the material Hasan:RMP (); Qi:RMP (). Another important development concerns the phenomenon of many-body localization (MBL), which is characterized by the absence of thermalization in many-body systems featuring disorder and inter-particle interactions Basko:2006 (); Nandkishore:2015 (); Abanin:2018 ().

Quantum engineered systems, such as ultracold atomic gases or trapped ions, have recently emerged as novel platforms by which localization can be finely studied in a highly-controlled environment. Anderson localization was observed in Bose-Einstein condensates, in various spatial dimensions, through the design of disordered potentials for neutral atoms Billy:2008 (); Roati:2008 (); Kondov:2011 (). Besides the control over the disorder strength, these quantum-engineered systems also allows for the possibility of tuning the inter-particle interactions. Combining these two appealing features led to the first experimental observations of MBL in ultracold atomic gases Schreiber:2015 (); Choi:2016 (), which were soon followed by realizations in trapped ions Smith:2016 () and in photonics Roushan:2017 (). While the localization length was directly measured in the context of Anderson localization Billy:2008 (); Kondov:2011 (), by imaging the spatial profile of the atomic cloud in situ, such direct signatures of localization remain challenging in the MBL regime; see Ref. Greiner_MBL () for correlation-length measurements in the MBL phase based on single-site resolution imaging.

In this Letter, we introduce a novel method by which localization can be quantitatively studied in quantum-engineered systems, without relying on any in-situ imaging. Our approach builds on a universal relation between the localization of a quantum state and its spectroscopic response to an external periodic drive, and can therefore be applied to many-body (interacting) systems. In fact, this relation between localization properties and dissipative responses can be traced back to the fluctuation-dissipation theorem Callen:1951 (); Kubo:1957 (); LandauLifshitz:Book (), and it was previously explored in solid state Kudinov:1991 (); Souza:2000 (). In this Letter, we propose that measuring the excitation rate of a quantum-engineered system upon a periodic drive Asteria:2018 () offers a practical scheme by which its localization properties can be precisely evaluated. In particular, this method can be readily applied to general many-body systems, in the presence of interactions and/or disorder, as we illustrate below through relevant examples.

Beyond the localization of particles in extended lattice geometries, our method can also be applied to study localization in confined systems. This asset is relevant to ultracold atomic gases in optical lattices, where the spread of the two-body wavefunction within each lattice site affects the effective interaction energy Campbell:2006 (). While detecting localization within a single site of an optical lattice requires sophisticated nanoscale microscopy sub_resolution (); sub_resolution_2 (), this property could be equally studied using the more practical spectroscopic probe introduced in this work.

Dissipation and fluctuations are united through the imaginary part of the generalized susceptibility Callen:1951 (); Kubo:1957 (); LandauLifshitz:Book (). Interestingly, it was noted that this response function is also deeply related to the geometry of quantum states, through the notion of the quantum (Fubini-Study) metric Provost:1980 (); Souza:2000 (); Kolodrubetz:PhysRep (); see Ref. Hauke_Heyl () where this was discussed in a quantum-information context. In many-body systems, the quantum metric is defined over the parameter space spanned by twist angles associated with boundary conditions Souza:2000 (). As a byproduct of our proposal, we establish a protocol by which the full quantum geometry of many-body quantum systems (including the quantum metric and the many-body Berry curvature Niu:1985 (); Watanabe:2018 (); Kudo:2019 ()) can be extracted from spectroscopic responses.

Excitation rates and localization – We first discuss how the excitation rate of a quantum system upon a periodic drive relates to the variance of the position operator. Let us assume that the system is initially in an eigenstate of a many-body Hamiltonian , which we consider to be non-degenerate and well separated from all other states in energy remark0 (). We then act on the system with a periodic drive aligned along the direction, so that the total Hamiltonian reads

(1) |

where is the many-body position operator along the direction, and where is the position operator for the -th particle. At the lowest order in time-dependent perturbation theory, the excitation fraction is given by Fermi’s golden rule Sakurai (),

where can be approximated by a Dirac distribution for sufficiently large . It is convenient to introduce the excitation rate , which is the rate at which the system excites to other states . Inspired by Refs. Tran:2017 (); Tran:2018 (); OzawaGoldman (), we consider performing a set of experiments for various values of the shaking frequency , and integrating the resulting rates over ,

(2) |

Using the completeness relation , one rewrites the sum above as

(3) |

which is nothing but the variance of the operator . When combined with Eq. (2), this yields a relation between the integrated rate and the spatial variance

(4) |

This relation establishes a protocol by which the variance of the position operator can be measured in experiments, without detecting the position of the particles.

In fact, the relation between the integrated rate and the variance of an operator can be made more general. For any operator , the excitation rate upon the drive is related to the variance of this operator through . Hence, time modulation can be used as a universal probe for the variance of any operator.

We point out that the result in Eq. (4) derives from the fluctuation-dissipation theorem. To see this, recall that the fluctuation associated with an operator , in a given state , is related to the generalized susceptibility via the fluctuation-dissipation theorem LandauLifshitz:Book ():

(5) |

where we assumed . Besides, the power absorbed upon a periodic drive is related to the imaginary part of the generalized susceptibility LandauLifshitz:Book (): . Noting that the excitation rate is defined as , one recovers the relation .

Anderson model – We first apply our method to the Anderson model Lee:1985 (); Kramer:1993 (), which describes a quantum particle moving in a one-dimensional disordered lattice; the hopping matrix element is denoted , and the random (disordered) potential has values uniformly distributed within the interval . The presence of disorder generates localized eigenstates: the envelope of the wavefunctions takes the form around their average position, where is the localization length. The spatial variance calculated from this naive exponentially-decaying wavefunction reads , which indeed provides a qualitatively accurate estimate (deviations due to finer structures in the wavefunctions are illustrated below). According to the scaling theory of the Anderson model Kramer:1993 (), the localization length at zero energy scales as , in units of the lattice spacing; the corresponding variance reads ; see Fig. 1.

We now show that these localization properties can be detected through excitation-rate measurements [Eq. (4)]. For a given disorder realization, we start from an eigenstate of the model whose energy is close to zero, and then numerically calculate the integrated excitation rate upon applying a periodic modulation [Eq. (1)]. The results are shown in Fig. 1, for various values of the disorder strength , together with the scaling-theory prediction. Fitting the estimated variance with a power law, one obtains , which is indeed very close to the prediction ; the main discrepancy is attributed to the finer structure of the wavefunction inside the envelop function . We note that the eigenstate considered in these calculations is not isolated in energy (there is no spectral gap in the thermodynamic limit); however, states with similar energies are well separated spatially, and hence they do not contribute to the excitation rate remark0 ().

Topological edges modes – As a second example, we consider the celebrated Su-Schrieffer-Heeger model, a model exhibiting symmetry-protected topological edge modes Xiao:RMP (); Cooper:RMP (). This is a one-dimensional tight-binding model with alternating hopping strengths and ; here we assume . Depending on the termination of the chain, the boundaries can host localized (zero-energy) edge modes; these edge states are protected by topology, due to the chiral symmetry of the model Hatsugai:2006 (). Importantly, topological modes can also appear in the bulk of the chain Leder:2016 (), whenever the latter presents a defect (e.g. if the strengths of the hopping amplitudes, and , are locally interchanged); such a defect constitutes an interface between two regions associated with different topological invariants (winding numbers), which explains the presence of a zero-energy mode that is exactly localized at the interface; see a sketch of the setting and the corresponding localized wavefunction depicted in Figs. 2(a)-(b). We note that this wavefunction only takes nonzero values on every other site. Analytically, the overall decay of the wavefunction obeys , where is the distance from the interface and is the lattice spacing. The spatial variance calculated from this analytical wavefunction reads

(6) |

We also assume that both ends of the chain are terminated with a strong link (), so that there is no additional edge state at the boundaries of the chain; in this setting, we have a single zero-energy mode, which is localized at the interface. We performed simulations of the driven SSH model, in view of numerically estimating from the integrated excitation rates. The results are plotted in Fig. 2(c), where an excellent agreement is shown between the excitation-rate measurement (dots) and the analytical result (full line).

Interacting particles in a harmonic trap – We now consider a system of two particles of mass , moving in a one-dimensional harmonic trap of frequency ; see Ref. Sup_Mat () for the single-particle case. We assume that the two particles are distinguishable, and that they interact via a repulsive contact interaction , with . The interaction spreads out the ground-state wavefunction, as can be seen in the density distributions depicted in Fig. 3(a); see Ref. Busch:1998 () for exact solutions. This spreading is experimentally relevant in ultracold-atom experiments realizing bosonic Mott insulators, where it was shown to affect the effective onsite interaction Campbell:2006 (). We now describe how this “delocalization through interactions” could be finely resolved using excitation-rate measurements.

First, we note that the two-body Schrödinger equation can be decomposed in terms of the center-of-mass and relative motions. The center-of-mass is known to be independent of the inter-particle interactions Busch:1998 (), and hence, the related variance does not depend on . In contrast, the density spread in Fig. 3(a) is accurately captured by the relevant quantity , which is associated with the relative motion and depends on . While is directly accessible through the driving protocol described above [Eqs. (1)-(4)], the detection of requires a particle-dependent modulation of the form . Such a drive can be realized by considering two atomic internal states with opposite magnetic moments subjected to an oscillating magnetic field Aidelsburger:2013 (); Kennedy:2013 (). We describe below how this modification of the driving scheme allows for an accurate evaluation of the two-particle wavefunction spreading.

We have numerically calculated the integrated excitation rates (resp. ), upon subjecting the two-particle system to the particle-dependent (resp. independent) modulations. According to Eq. (4), these results provide an estimation of and , respectively. We then take the sum of these results to obtain the aforementioned quantity . The numerical results shown in Fig. 3(b) show that the variance estimated from excitation-rate measurements (dots) perfectly reproduces the exact result (full line). The “center-of-mass” variance, , is also displayed in Fig. 3(b). These simulations confirm that the delocalization-by-interaction effect can be quantitatively measured in ultracold atoms through spectroscopic responses.

Many-body quantum geometric tensor – Dissipative responses are closely related to the concept of quantum geometry Souza:2000 (); Kolodrubetz:PhysRep (); Tran:2017 (); Tran:2018 (); OzawaGoldman (); Asteria:2018 (). At a fundamental level, the geometry of a quantum state , which depends on a set of parameters , is described by the quantum geometric tensor Kolodrubetz:PhysRep ():

(7) |

Its imaginary part is related to the Berry curvature, , which is associated with the physics of the geometric (Berry) phase and topological matter Mead:RMP (); Xiao:RMP (); Hasan:RMP (); Qi:RMP (); Cooper:RMP (); Ozawa:RMP (), whereas its real part is known as the quantum metric (or Fubini-Study metric) tensor Provost:1980 (); Anandan:1990 (); Kolodrubetz:PhysRep (), . The full quantum geometric tensor was recently extracted from Rabi-oscillation measurements in diamond NV-centers Yu:2018 (), from polarisation tomography in polaritons Gianfrate:2018 (), and through similar methods in superconducting qubits Tan:2019 ().

The ground-state of a many-body Hamiltonian can exhibit non-trivial geometric and topological properties. This can be revealed by introducing twisted boundary conditions Niu:1985 (); Souza:2000 (); Watanabe:2018 (); Kudo:2019 (), and by calculating the quantum geometric tensor (7) in the parameter space spanned by the corresponding twist angles . As shown in Ref. Souza:2000 (), the real part of the so-defined quantum geometric tensor, i.e. the “many-body quantum metric”, describes the variance of the position operator Sup_Mat ()

(8) |

where denotes the system’s length along .

Combining Eq. (8) with Eq. (4) indicates that the many-body quantum metric is directly accessible through excitation-rate measurements (). Similarly, the integrated rate upon linear shaking along the -direction is proportional to ; if the modulation is aligned along the diagonal -direction, the resulting integrated rate is proportional to . Hence, all the components of the many-body quantum metric can be extracted from excitation-rate measurements upon linear shaking.

On the other hand, the many-body Berry curvature is related to the integrated rate upon circular shaking Repellin:2018 (). Indeed, considering the periodic modulation , the integrated rates read

(9) |

Therefore, the many-body Berry curvature is given by the differential integrated rate per unit area:

(10) |

This relation between circular dichroism and the many-body Berry curvature (or “non-integrated Chern number” Kudo:2019 ()) can also be derived from Kramers-Kronig relations Repellin:2018 ().

Summarizing, all the components of the many-body quantum geometric tensor are related to an observable response of the system upon linear or circular shaking. This result generalizes previous connections between the quantum geometry of single-particle states and spectroscopic responses Tran:2017 (); Tran:2018 (); Asteria:2018 (); OzawaGoldman () to a many-body framework; see also Ref. Sup_Mat ().

Conclusion – This work proposes spectroscopic responses as a novel method to study localization in quantum many-body systems, offering a practical alternative to in-situ imaging. It is intriguing to observe that such excitation-rate measurements can extract information on both geometry and localization, two important concepts in condensed matter, through the extraction of the many-body quantum geometric tensor. An exciting perspective concerns the application of the present approach to explore the localization properties of many-body quantum states of interest, such as excitations of fractional quantum Hall liquids Yoshioka:Book (); Martin:2004 (), many-body localized systems Nandkishore:2015 (); Abanin:2018 (), and fractons Nandkishore:2019 ().

###### Acknowledgements.

We thank insightful discussions with Cécile Repellin, Monika Aidelsburger, and Yoshiro Takahashi. TO is supported by JSPS KAKENHI Grant Number JP18H05857, RIKEN Incentive Research Project, and the Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) at RIKEN. NG is supported by the FRS-FNRS (Belgium) and the ERC Starting Grant TopoCold.## References

- (1) P. W. Anderson, “Absence of diffusion in certain random lattices,” Phys. Rev. 109, 1492 (1958).
- (2) P. A. Lee and T. V. Ramakrishnan, “Disordered electronic systems,” Rev. Mod. Phys. 57, 287 (1985).
- (3) B. Kramer and A. MacKinnon, “Localization: theory and experiment,” Rep. Prog. Phys. 56, 1469 (1993).
- (4) C. W. J. Beenakker, “Random-matrix theory of quantum transport,” Rev. Mod. Phys. 69, 731 (1997).
- (5) E. K. Kudinov, “Difference between insulating and conducting states,” Fisika Tverdogo Tela 33, 2306 (1991). [English translation: Sov. Phys. Solid State 33, 1299. (1991)].
- (6) R. Resta and S. Sorella, “Electron Localization in the Insulating State,” Phys. Rev. Lett. 82, 370 (1999).
- (7) M. Z. Hasan and C. L. Kane, “Colloquium: Topological insulators,” Rev. Mod. Phys. 82, 3045 (2010).
- (8) X.-L. Qi and S.-C. Zhang, “Topological insulators and superconductors,” Rev. Mod. Phys. 83, 1057 (2011).
- (9) D.M. Basko, I.L. Aleiner, and B.L. Altshuler, “Metal-insulator transition in a weakly interacting many-electron system with localized single-particle states,” Annals of Physics 321, 1126 (2006).
- (10) R. Nandkishore and D. A. Huse, “Many-body localization and thermalization in quantum statistical mechanics”, Ann. Rev. Cond. Mat. Phys. 6 15 (2015).
- (11) D. A. Abanin, E. Altman, I. Bloch, M. Serbyn, “Many-body localization, thermalization, and entanglement,” arXiv:1804.11065.
- (12) J. Billy, V. Josse, Z. Zuo, A. Bernard, B. Hambrecht, P. Lugan, D. Clément, L. Sanchez-Palencia, P. Bouyer, and A. Aspect, “Direct observation of Anderson localization of matter waves in a controlled disorder,” Nature 453, 891 (2008).
- (13) G. Roati, C. D’Errico, L. Fallani, M. Fattori, C. Fort, M. Zaccanti, G. Modugno, M. Modugno, and M. Inguscio, “Anderson localization of a non-interacting BoseâEinstein condensate,” Nature 453, 895 (2008).
- (14) S. S. Kondov, W. R. McGehee, J. J. Zirbel, and B. DeMarco, “Three-Dimensional Anderson Localization of Ultracold Matter,” Science 334, 66 (2011).
- (15) M. Schreiber, S. S. Hodgman, P. Bordia, H. P. Lüschen, M. H. Fischer, R. Vosk, E. Altman, U. Schneider, I. Bloch, “Observation of many-body localization of interacting fermions in a quasirandom optical lattice,” Science 349, 842 (2015).
- (16) J. Choi, S. Hild, J. Zeiher, P. Schauß, A. Rubio-Abadal, T. Yefsah, V. Khemani, D. A. Huse, I. Bloch, and C. Gross, “Exploring the many-body localization transition in two dimensions,” Science 352, 1547 (2016).
- (17) J. Smith, A. Lee, P. Richerme, B. Neyenhuis, P. W. Hess, P. Hauke, M. Heyl, D. A. Huse, and C. Monroe, “Many-body localization in a quantum simulator with programmable random disorder,” Nature Physics 12, 907 (2016).
- (18) P. Roushan, C. Neill, J. Tangpanitanon, V. M. Bastidas, A. Megrant, R. Barends, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, A. Fowler, B. Foxen, M. Giustina, E. Jeffrey, J. Kelly, E. Lucero, J. Mutus, M. Neeley, C. Quintana, D. Sank, A. Vainsencher, J. Wenner, T. White, H. Neven, D. G. Angelakis, J. Martinis, “Spectroscopic signatures of localization with interacting photons in superconducting qubits,” Science 358, 1175 (2017).
- (19) A. Lukin, M. Rispoli, R. Schittko, M. E. Tai, A. M. Kaufman, S. Choi, V. Khemani, J. Léonard, M. Greiner, “Probing entanglement in a many-body-localized system”, Science 364, 256 (2019).
- (20) H. B. Callen and T. A. Welton, “Irreversibility and generalized noise,” Phys. Rev. 83, 34 (1951).
- (21) R. Kubo, “Statistical-Mechanical Theory of Irreversible Processes. I. General Theory and Simple Applications to Magnetic and Conduction Problems,” J. Phys. Soc. Jpn. 12, 570 (1957).
- (22) L. D. Landau and E. M. Lifshitz, “Statistical Physics, 3rd Edition Part 1,” (Butterworth-Heinemann, Oxford, 1980).
- (23) I. Souza, T. Wilkens, and R. M. Martin, “Polarization and localization in insulators: Generating function approach,” Phys. Rev. B 62 , 1666 (2000).
- (24) L. Asteria, D. T. Tran, T. Ozawa, M. Tarnowski, B. S. Rem, N.Fläschner, K. Sengstock, N. Goldman, C. Weitenberg, Measuring quantized circular dichroism in ultracold topological matter, Nat. Phys. 15, 449 (2019).
- (25) G. K. Campbell, J. Mun, M. Boyd, P. Medley, A. E. Leanhardt, L. G. Marcassa, D. E. Pritchard, and W. Ketterle, “Imaging the Mott insulator shells by using atomic clock shifts,” Science 313, 649 (2006).
- (26) S. Subhankar, Y. Wang, T-C. Tsui, S. L. Rolston, and J. V. Porto, “Nanoscale Atomic Density Microscopy”, Phys. Rev. X 9, 021002 (2019).
- (27) M. McDonald, J. Trisnadi, K.-X. Yao, and C. Chin, “Superresolution Microscopy of Cold Atoms in an Optical Lattice”, Phys. Rev. X 9, 021001 (2019).
- (28) J. P. Provost and G. Vallee, “Riemannian structure on manifolds of quantum states”, Commun.Math. Phys. 76, 289 (1980).
- (29) M. Kolodrubetz, D. Sels, P. Mehta, and A. Polkovnikov, “Geometry and non-adiabatic response in quantum and classical systems,” Phys. Rep. 697, 1 (2017).
- (30) P. Hauke, M. Heyl, L. Tagliacozzo and P. Zoller, “Measuring multipartite entanglement through dynamic susceptibilities”, Nat. Phys. 12, 778 (2016).
- (31) Q. Niu, D. J. Thouless, and Y.-S. Wu, Quantized Hall conductance as a topological invariant, Phys. Rev. B 31, 3372 (1985).
- (32) H. Watanabe, Insensitivity of bulk properties to the twisted boundary condition, Phys. Rev. B 98, 155137 (2018).
- (33) K. Kudo, H. Watanabe, T. Kariyado, and Y. Hatsugai, Many-Body Chern Number without Integration, Phys. Rev. Lett. 122, 146601 (2019).
- (34) J. J. Sakurai, Modern Quantum Mechanics 2nd Edition (Cambridge University Press, 2017).
- (35) D. T. Tran, A. Dauphin, A. G. Grushin, P. Zoller, and N. Goldman, Probing topology by “heating”: Quantized circular dichroism in ultracold atoms, Science Advances 3, e1701207 (2017).
- (36) D. T. Tran, N. R. Cooper, N. Goldman, Quantized Rabi oscillations and circular dichroism in quantum Hall systems, Phys. Rev. A 97, 061602(R) (2018).
- (37) T. Ozawa and N. Goldman, Extracting the quantum metric tensor through periodic driving, Phys. Rev. B 97, 201117(R) (2018).
- (38) D. Xiao, M.-C. Chang, and Q. Niu, “Berry phase effects on electronic properties”, Rev. Mod. Phys. 82, 1959 (2010).
- (39) N. R. Cooper, J. Dalibard, and I. B. Spielman, “Topological bands for ultracold atoms,” Rev. Mod. Phys. 91, 015005 (2019).
- (40) Y. Hatsugai, Quantized Berry Phases as a Local Order Parameter of a Quantum Liquid, J. Phys. Soc. Jpn. 75, 123601 (2006).
- (41) M. Leder, C. Grossert, L. Sitta, M. Genske, A. Rosch, M. Weitz, “Real-space imaging of a topologically protected edge state with ultracold atoms in an amplitude- chirped optical lattice”, Nature Comm. 7, 13122 (2016).
- (42) See Supplementary Material.
- (43) T. Busch, B.-G. Englert, K. Rzażewski, and M. Wilkens, Two cold atoms in a harmonic trap, Found. Phys. 28, 549 (1998).
- (44) M. Aidelsburger, M. Atala, M. Lohse, J. T. Barreiro, B. Paredes, and I. Bloch, “Realization of the Hofstadter Hamiltonian with Ultracold Atoms in Optical Lattices”, Phys. Rev. Lett. 111, 185301 (2013).
- (45) C. J. Kennedy, G. A. Siviloglou, H. Miyake, W. C. Burton, and W. Ketterle, “Spin-Orbit Coupling and Quantum Spin Hall Effect for Neutral Atoms without Spin Flips”, Phys. Rev. Lett. 111, 225301 (2013).
- (46) C. Alden Mead, “The geometric phase in molecular systems”, Rev. Mod. Phys. 64, 51 (1992).
- (47) T. Ozawa, H. M. Price, A. Amo, N. Goldman, M. Hafezi, L. Lu, M. C. Rechtsman, D. Schuster, J. Simon, O. Zilberberg, and I. Carusotto, “Topological photonics,” Rev. Mod. Phys. 91, 015006 (2019).
- (48) J. Anandan and Y. Aharonov, “Geometry of quantum evolution”, Phys. Rev. Lett. 65, 1697 (1990).
- (49) M. Yu, P. Yang, M. Gong, Q. Cao, Q. Lu, H. Liu, M. B. Plenio, F. Jelezko, T. Ozawa, N. Goldman, S. Zhang, J. Cai, Experimental measurement of the complete quantum geometry of a solid-state spin system, arXiv:1811.12840.
- (50) A. Gianfrate, O. Bleu, L. Dominici, V. Ardizzone, M. De Giorgi, D. Ballarini, K. West, L. N. Pfeiffer, D. D. Solnyshkov, D. Sanvitto, G. Malpuech, “Direct measurement of the quantum geometric tensor in a two-dimensional continuous medium,” arXiv:1901.03219.
- (51) X. Tan, D.-W. Zhang, Z. Yang, J. Chu, Y.-Q. Zhu, D. Li, X. Yang, S. Song, Z. Han, Z. Li, Y. Dong, H.-F. Yu, H. Yan, S.-L. Zhu, and Y. Yu, “Experimental Measurement of the Quantum Metric Tensor and Related Topological Phase Transition with a Superconducting Qubit,” Phys. Rev. Lett. 122, 210401 (2019)
- (52) C. Repellin and N. Goldman, Detecting fractional Chern insulators through circular dichroism, Phys. Rev. Lett. 122, 166801 (2019).
- (53) D. Yoshioka, “The Quantum Hall Effect 1st ed.,” (Springer-Verlag Berlin, 2002).
- (54) J. Martin, S. Ilani, B. Verdene, J. Smet, V. Umansky, D. Mahalu, D. Schuh, G. Abstreiter, and A. Yacoby, “Localization of fractionally charged quasi-particles,” Science 305, 980 (2004).
- (55) R. M. Nandkishore and M. Hermele, “Fractons”, Ann. Rev. Cond. Mat. Phys. 10, 295 (2019).
- (56) The results presented in this work are still valid for degenerate states, as long as the position operator does not couple different states within the degenerate manifold.

Supplemental material for:

“Probing localization and quantum geometry by spectroscopy”

## Appendix A Application: A single particle in a harmonic trap

To illustrate the principle of our method, we consider the simplest case of one particle in a one-dimensional harmonic trapping potential. The Hamiltonian is of the form

(11) |

The eigenstates are labeled by an integer , and the eigenvalues are , where . We note that this example is already qualitatively different from earlier studies connecting quantum geometry to spectroscopic responses Tran:2017SM (); Tran:2018SM (); OzawaGoldmanSM (); Asteria:2018SM (), in the sense that the Hamiltonian in Eq. (11) lacks translational invariance.

We consider initializing the system in an arbitrary eigenstate . The variance of the position operator can be calculated analytically: . We perform numerical simulations to calculate , from which we estimate and compare with the analytical result. In the simulation, we start from a state and we simulate the full time evolution under the drive, ; we numerically estimate by observing the probability of being in states other than after some observation time. In Fig. 4, we plot the variance estimated from the calculation of , for different values of ; the line corresponds to the analytical prediction, . The perfect agreement between our numerical results and the analytical prediction confirms the validity of our method.

## Appendix B Derivation of Eq.(8)

We hereby provide a derivation of Eq.(8) in the main text. We start by considering the general -body Hamiltonian

(12) |

where labels the particles (bosons or fermions); the operators and are the momentum and position operators for the -th particle; denotes a vector potential that is potentially coupled to the particles; is a potential energy term (e.g. a trapping or disordered potential). The inter-particle interaction is given by , which we assume does not depend on momenta .

Following Niu-Thouless-Wu Niu:1985SM () and Souza-Wilkens-Martin Souza:2000SM (), we define the quantum geometric tensor in the space of twist angles of the boundary conditions. First, we note that twisted boundary conditions are mathematically equivalent to inserting magnetic fluxes through the system, while assuming periodic boundary conditions. In this alternative description, the many-body Hamiltonian contains the inserted fluxes through the expression Niu:1985SM ()

where , and we introduced the notation , where is the length along the th direction. Gauging away this additional term in the vector potential reveals that indeed corresponds to the twist angle along the th direction.

We consider an eigenstate of the many-body Hamiltonian ; as in the main text, we assume that this state is non-degenerate and that it is well separated from all other states by spectral gaps. In general, the eigenstate depends on , and so does its energy, .

We first take a commutator between and :

(13) |

Taking the matrix element on both sides with different many-body eigenstates and , we obtain

(14) |

where and .

On the other hand, taking a derivative of the equation with respect to , and applying from right, we obtain the following relation:

(15) |

Comparing (14) and (15), we obtain

(16) |

Here we used that is spectrally separated so that . As previously noted in Ref. Souza:2000SM (), while the position operator is ill-defined upon applying periodic boundary conditions, Eq. (16) accurately describes its matrix elements. In this sense, this useful relation allows one to calculate physically meaningful quantities, such as localization, in closed geometries.

## Appendix C Relation between the many-body quantum metric and the quantum metric of Bloch bands

We show how the many-body quantum metric relates to the quantum metric of a non-interacting band structure , when considering a Bloch band filled with non-interacting fermions. In this example, we take the occupied band to be the lowest one in the spectrum. According to the results presented in the main text, the following relation holds:

(18) |

where corresponds to the completely filled band of fermions, and is any other state. We now examine the quantity , and rewrite it in terms of the quantum metric defined in the Brillouin zone of the non-interacting band structure. Since is a single-particle operator, if a state contains more than one states outside the lowest band, the matrix element vanishes. Therefore, for , we need to consider those states which are obtained by annihilating one state from and creating one state outside the lowest band. Let us write that is obtained by annihilating a single-particle Bloch state from and creating a Bloch state , where is the band index for an excited band and is the total number of lattice sites in the system. For such , we have OzawaGoldmanSM ()

(19) |

When summing over , we need to sum over , , and . Then,

(20) |

Comparing this result with Eq. (18), we eventually obtain the following relation

(21) |

In this non-interacting filled-band configuration, the integrated excitation rate upon linear driving [Eq. (7) in the main text] reads , which is indeed consistent with the result previously obtained in Ref. OzawaGoldmanSM ().

## References

- (57) T. Ozawa and N. Goldman, Extracting the quantum metric tensor through periodic driving, Phys. Rev. B 97, 201117(R) (2018).
- (58) D. T. Tran, A. Dauphin, A. G. Grushin, P. Zoller, and N. Goldman, Probing topology by “heating”: Quantized circular dichroism in ultracold atoms, Science Advances 3, e1701207 (2017).
- (59) D. T. Tran, N. R. Cooper, N. Goldman, Quantized Rabi oscillations and circular dichroism in quantum Hall systems, Phys. Rev. A 97, 061602 (2018).
- (60) L. Asteria, D. T. Tran, T. Ozawa, M. Tarnowski, B. S. Rem, N.Fläschner, K. Sengstock, N. Goldman, C. Weitenberg, Measuring quantized circular dichroism in ultracold topological matter, Nat. Phys. Advanced Online Publication (2019) [arXiv:1805.11077].
- (61) Q. Niu, D. J. Thouless, and Y.-S. Wu, Quantized Hall conductance as a topological invariant, Phys. Rev. B 31, 3372 (1985).
- (62) I. Souza, T. Wilkens, and R. M. Martin, “Polarization and localization in insulators: Generating function approach,” Phys. Rev. B 62 , 1666 (2000).