- Letter
- Open Access
Extracting off-diagonal order from diagonal basis measurements
Phys. Rev. Research 6, L022064 – Published 17 June, 2024
DOI: https://doi.org/10.1103/PhysRevResearch.6.L022064
Abstract
Quantum gas microscopy has developed into a powerful tool to explore strongly correlated quantum systems. However, discerning phases with topological or off-diagonal long range order requires the ability to extract these correlations from site-resolved measurements. Here, we show that a multiscale complexity measure can pinpoint the transition to and from the bond ordered wave phase of the one-dimensional extended Hubbard model with an off-diagonal order parameter, sandwiched between diagonal charge and spin density wave phases, using only diagonal descriptors. We study the model directly in the thermodynamic limit using the recently developed variational uniform matrix product states algorithm, and draw our samples from degenerate ground states related by global spin rotations, emulating the projective measurements that are accessible in experiments. Our results will have important implications for the study of exotic phases using optical lattice experiments.
Physics Subject Headings (PhySH)
Article Text
Supplemental Material
References (79)
- J. F. Sherson, C. Weitenberg, M. Endres, M. Cheneau, I. Bloch, and S. Kuhr, Single-atom-resolved fluorescence imaging of an atomic Mott insulator, Nature (London) 467, 68 (2010).
- W. S. Bakr, A. Peng, M. E. Tai, R. Ma, J. Simon, J. I. Gillen, S. Foelling, L. Pollet, and M. Greiner, Probing the superfluid–to–Mott insulator transition at the single-atom level, Science 329, 547 (2010).
- C. Gross and W. S. Bakr, Quantum gas microscopy for single atom and spin detection, Nat. Phys. 17, 1316 (2021).
- M. F. Parsons, A. Mazurenko, C. S. Chiu, G. Ji, D. Greif, and M. Greiner, Site-resolved measurement of the spin-correlation function in the Fermi-Hubbard model, Science 353, 1253 (2016).
- L. W. Cheuk, M. A. Nichols, K. R. Lawrence, M. Okan, H. Zhang, E. Khatami, N. Trivedi, T. Paiva, M. Rigol, and M. W. Zwierlein, Observation of spatial charge and spin correlations in the 2D Fermi-Hubbard model, Science 353, 1260 (2016).
- P. T. Brown, D. Mitra, E. Guardado-Sanchez, P. Schauß, S. S. Kondov, E. Khatami, T. Paiva, N. Trivedi, D. A. Huse, and W. S. Bakr, Spin-imbalance in a 2D Fermi-Hubbard system, Science 357, 1385 (2017).
- A. Mazurenko, C. S. Chiu, G. Ji, M. F. Parsons, M. Kanász-Nagy, R. Schmidt, F. Grusdt, E. Demler, D. Greif, and M. Greiner, A cold-atom Fermi–Hubbard antiferromagnet, Nature (London) 545, 462 (2017).
- T. Hartke, B. Oreg, C. Turnbaugh, N. Jia, and M. Zwierlein, Direct observation of nonlocal fermion pairing in an attractive Fermi-Hubbard gas, Science 381, 82 (2023).
- P. Schauß, M. Cheneau, M. Endres, T. Fukuhara, S. Hild, A. Omran, T. Pohl, C. Gross, S. Kuhr, and I. Bloch, Observation of spatially ordered structures in a two-dimensional Rydberg gas, Nature (London) 491, 87 (2012).
- S. Ebadi, T. T. Wang, H. Levine, A. Keesling, G. Semeghini, A. Omran, D. Bluvstein, R. Samajdar, H. Pichler, W. W. Ho et al., Quantum phases of matter on a 256-atom programmable quantum simulator, Nature (London) 595, 227 (2021).
- P. Scholl, M. Schuler, H. J. Williams, A. A. Eberharter, D. Barredo, K.-N. Schymik, V. Lienhard, L.-P. Henry, T. C. Lang, T. Lahaye et al., Quantum simulation of 2D antiferromagnets with hundreds of Rydberg atoms, Nature (London) 595, 233 (2021).
- R. Samajdar, W. W. Ho, H. Pichler, M. D. Lukin, and S. Sachdev, Complex density wave orders and quantum phase transitions in a model of square-lattice Rydberg atom arrays, Phys. Rev. Lett. 124, 103601 (2020).
- A. Browaeys and T. Lahaye, Many-body physics with individually controlled Rydberg atoms, Nat. Phys. 16, 132 (2020).
- H. Labuhn, D. Barredo, S. Ravets, S. De Léséleuc, T. Macrì, T. Lahaye, and A. Browaeys, Tunable two-dimensional arrays of single Rydberg atoms for realizing quantum Ising models, Nature (London) 534, 667 (2016).
- H. Bernien, S. Schwartz, A. Keesling, H. Levine, A. Omran, H. Pichler, S. Choi, A. S. Zibrov, M. Endres, M. Greiner et al., Probing many-body dynamics on a 51-atom quantum simulator, Nature (London) 551, 579 (2017).
- P. Mehta, M. Bukov, C.-H. Wang, A. G. Day, C. Richardson, C. K. Fisher, and D. J. Schwab, A high-bias, low-variance introduction to machine learning for physicists, Phys. Rep. 810, 1 (2019).
- G. Carleo, I. Cirac, K. Cranmer, L. Daudet, M. Schuld, N. Tishby, L. Vogt-Maranto, and L. Zdeborová, Machine learning and the physical sciences, Rev. Mod. Phys. 91, 045002 (2019).
- S. Johnston, E. Khatami, and R. Scalettar, A perspective on machine learning and data science for strongly correlated electron problems, Carbon Trends 9, 100231 (2022).
- A. Bohrdt, C. S. Chiu, G. Ji, M. Xu, D. Greif, M. Greiner, E. Demler, F. Grusdt, and M. Knap, Classifying snapshots of the doped Hubbard model with machine learning, Nat. Phys. 15, 921 (2019).
- E. Khatami, E. Guardado-Sanchez, B. M. Spar, J. F. Carrasquilla, W. S. Bakr, and R. T. Scalettar, Visualizing strange metallic correlations in the two-dimensional Fermi-Hubbard model with artificial intelligence, Phys. Rev. A 102, 033326 (2020).
- C. Miles, A. Bohrdt, R. Wu, C. Chiu, M. Xu, G. Ji, M. Greiner, K. Q. Weinberger, E. Demler, and E.-A. Kim, Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data, Nat. Commun. 12, 3905 (2021).
- C. Miles, R. Samajdar, S. Ebadi, T. T. Wang, H. Pichler, S. Sachdev, M. D. Lukin, M. Greiner, K. Q. Weinberger, and E.-A. Kim, Machine learning discovery of new phases in programmable quantum simulator snapshots, Phys. Rev. Res. 5, 013026 (2023).
- B. S. Rem, N. Käming, M. Tarnowski, L. Asteria, N. Fläschner, C. Becker, K. Sengstock, and C. Weitenberg, Identifying quantum phase transitions using artificial neural networks on experimental data, Nat. Phys. 15, 917 (2019).
- N. Käming, A. Dawid, K. Kottmann, M. Lewenstein, K. Sengstock, A. Dauphin, and C. Weitenberg, Unsupervised machine learning of topological phase transitions from experimental data, Machine Learn.: Sci. Tech. 2, 035037 (2021).
- L. Wang, Discovering phase transitions with unsupervised learning, Phys. Rev. B 94, 195105 (2016).
- J. Carrasquilla and R. G. Melko, Machine learning phases of matter, Nat. Phys. 13, 431 (2017).
- P. Broecker, J. Carrasquilla, R. G. Melko, and S. Trebst, Machine learning quantum phases of matter beyond the fermion sign problem, Sci. Rep. 7, 8823 (2017).
- K. Ch'ng, J. Carrasquilla, R. G. Melko, and E. Khatami, Machine learning phases of strongly correlated fermions, Phys. Rev. X 7, 031038 (2017).
- Y. Zhang and E.-A. Kim, Quantum loop topography for machine learning, Phys. Rev. Lett. 118, 216401 (2017).
- W. Hu, R. R. P. Singh, and R. T. Scalettar, Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination, Phys. Rev. E 95, 062122 (2017).
- E. P. Van Nieuwenburg, Y.-H. Liu, and S. D. Huber, Learning phase transitions by confusion, Nat. Phys. 13, 435 (2017).
- S. J. Wetzel and M. Scherzer, Machine learning of explicit order parameters: From the Ising model to SU(2) lattice gauge theory, Phys. Rev. B 96, 184410 (2017).
- M. J. S. Beach, A. Golubeva, and R. G. Melko, Machine learning vortices at the Kosterlitz-Thouless transition, Phys. Rev. B 97, 045207 (2018).
- J. F. Rodriguez-Nieva and M. S. Scheurer, Identifying topological order through unsupervised machine learning, Nat. Phys. 15, 790 (2019).
- Y. Miyajima, Y. Murata, Y. Tanaka, and M. Mochizuki, Machine learning detection of Berezinskii-Kosterlitz-Thouless transitions in -state clock models, Phys. Rev. B 104, 075114 (2021).
- S. Ejima and S. Nishimoto, Phase diagram of the one-dimensional half-filled extended Hubbard model, Phys. Rev. Lett. 99, 216403 (2007).
- T. Ishiguro and K. Yamaji, Organic Superconductors (Springer, Berlin, Heidelberg, 1990).
- E. Dagotto and T. Rice, Surprises on the way from one-to two-dimensional quantum magnets: the ladder materials, Science 271, 618 (1996).
- J. Hu, T. W. Odom, and C. M. Lieber, Chemistry and physics in one dimension: synthesis and properties of nanowires and nanotubes, Acc. Chem. Res. 32, 435 (1999).
- H. Ishii, H. Kataura, H. Shiozawa, H. Yoshioka, H. Otsubo, Y. Takayama, T. Miyahara, S. Suzuki, Y. Achiba, M. Nakatake et al., Direct observation of Tomonaga–Luttinger-liquid state in carbon nanotubes at low temperatures, Nature (London) 426, 540 (2003).
- S. Baier, M. J. Mark, D. Petter, K. Aikawa, L. Chomaz, Z. Cai, M. Baranov, P. Zoller, and F. Ferlaino, Extended Bose-Hubbard models with ultracold magnetic atoms, Science 352, 201 (2016).
- H. Shiba, Magnetic susceptibility at zero temperature for the one-dimensional Hubbard model, Phys. Rev. B 6, 930 (1972).
- M. Imada and Y. Hatsugai, Numerical studies on the Hubbard model and the t-J model in one-and two-dimensions, J. Phys. Soc. Jpn. 58, 3752 (1989).
- H. J. Schulz, Correlation exponents and the metal-insulator transition in the one-dimensional Hubbard model, Phys. Rev. Lett. 64, 2831 (1990).
- P. Sengupta, A. W. Sandvik, and D. K. Campbell, Bond-order-wave phase and quantum phase transitions in the one-dimensional extended Hubbard model, Phys. Rev. B 65, 155113 (2002).
- R. T. Clay, S. Mazumdar, and D. K. Campbell, Pattern of charge ordering in quasi-one-dimensional organic charge-transfer solids, Phys. Rev. B 67, 115121 (2003).
- F. H. L. Essler, H. Frahm, F. Göhmann, A. Klümper, and V. E. Korepin, The One-Dimensional Hubbard Model (Cambridge University Press, Cambridge, UK, 2005).
- A. W. Sandvik and D. K. Campbell, Spin-Peierls transition in the Heisenberg chain with finite-frequency phonons, Phys. Rev. Lett. 83, 195 (1999).
- M. Nakamura, Tricritical behavior in the extended Hubbard chains, Phys. Rev. B 61, 16377 (2000).
- M. Tsuchiizu and A. Furusaki, Phase diagram of the one-dimensional extended Hubbard model at half filling, Phys. Rev. Lett. 88, 056402 (2002).
- E. Jeckelmann, Ground-state phase diagram of a half-filled one-dimensional extended Hubbard model, Phys. Rev. Lett. 89, 236401 (2002).
- A. W. Sandvik, L. Balents, and D. K. Campbell, Ground state phases of the half-filled one-dimensional extended Hubbard model, Phys. Rev. Lett. 92, 236401 (2004).
- Y. Z. Zhang, Dimerization in a half-filled one-dimensional extended Hubbard model, Phys. Rev. Lett. 92, 246404 (2004).
- S. Ejima, F. H. L. Essler, F. Lange, and H. Fehske, Ising tricriticality in the extended Hubbard model with bond dimerization, Phys. Rev. B 93, 235118 (2016).
- J. Spalding, S.-W. Tsai, and D. K. Campbell, Critical entanglement for the half-filled extended Hubbard model, Phys. Rev. B 99, 195445 (2019).
- M. Dalmonte, J. Carrasquilla, L. Taddia, E. Ercolessi, and M. Rigol, Gap scaling at Berezinskii-Kosterlitz-Thouless quantum critical points in one-dimensional Hubbard and Heisenberg models, Phys. Rev. B 91, 165136 (2015).
- S. Julià-Farré, D. González-Cuadra, A. Patscheider, M. J. Mark, F. Ferlaino, M. Lewenstein, L. Barbiero, and A. Dauphin, Revealing the topological nature of the bond order wave in a strongly correlated quantum system, Phys. Rev. Res. 4, L032005 (2022).
- V. Zauner-Stauber, L. Vanderstraeten, M. T. Fishman, F. Verstraete, and J. Haegeman, Variational optimization algorithms for uniform matrix product states, Phys. Rev. B 97, 045145 (2018).
- V. Zauner-Stauber, L. Vanderstraeten, J. Haegeman, I. P. McCulloch, and F. Verstraete, Topological nature of spinons and holons: Elementary excitations from matrix product states with conserved symmetries, Phys. Rev. B 97, 235155 (2018).
- L. Vanderstraeten, J. Haegeman, and F. Verstraete, Tangent-space methods for uniform matrix product states, SciPost Phys. Lect. Notes 7 (2019).
- A. A. Bagrov, I. A. Iakovlev, A. A. Iliasov, M. I. Katsnelson, and V. V. Mazurenko, Multiscale structural complexity of natural patterns, Proc. Natl. Acad. Sci. USA 117, 30241 (2020).
- O. M. Sotnikov, I. A. Iakovlev, A. A. Iliasov, M. I. Katsnelson, A. A. Bagrov, and V. V. Mazurenko, Certification of quantum states with hidden structure of their bitstrings, npj Quantum Inf. 8, 41 (2022).
- J. Haegeman, J. I. Cirac, T. J. Osborne, I. Pižorn, H. Verschelde, and F. Verstraete, Time-dependent variational principle for quantum lattices, Phys. Rev. Lett. 107, 070601 (2011).
- J. Haegeman, C. Lubich, I. Oseledets, B. Vandereycken, and F. Verstraete, Unifying time evolution and optimization with matrix product states, Phys. Rev. B 94, 165116 (2016).
- I. P. McCulloch, Infinite size density matrix renormalization group, revisited, arXiv:0804.2509.
- S. R. White, Density matrix formulation for quantum renormalization groups, Phys. Rev. Lett. 69, 2863 (1992).
- U. Schollwöck, The density-matrix renormalization group, Rev. Mod. Phys. 77, 259 (2005).
- M. Fishman, S. R. White, and E. M. Stoudenmire, The ITensor software library for tensor network calculations, SciPost Phys. Code. 4 (2022).
- See Supplemental Material at http://link.aps.org/supplemental/10.1103/PhysRevResearch.6.L022064 for the dependence of correlation length and von Neumann entanglement entropy on bond dimension, a detailed analysis in the weak coupling regime, the effects of mixed polarizations, and the use of open boundary conditions as pinning fields for the experimental proposal, and which includes Refs. [75, 76, 77, 78, 79].
- S. R. White, Minimally entangled typical quantum states at finite temperature, Phys. Rev. Lett. 102, 190601 (2009).
- E. M. Stoudenmire and S. R. White, Minimally entangled typical thermal state algorithms, New J. Phys. 12, 055026 (2010).
- E. Khatami, Principal component analysis of the magnetic transition in the three-dimensional Fermi-Hubbard model, J. Phys.: Conf. Ser. 1290, 012006 (2019).
- F. F. Assaad and I. F. Herbut, Pinning the order: The nature of quantum criticality in the Hubbard model on honeycomb lattice, Phys. Rev. X 3, 031010 (2013).
- B. Xiao, Y.-Y. He, A. Georges, and S. Zhang, Temperature dependence of spin and charge orders in the doped two-dimensional hubbard model, Phys. Rev. X 13, 011007 (2023).
- R. Orús, A practical introduction to tensor networks: Matrix product states and projected entangled pair states, Ann. Phys. 349, 117 (2014).
- M. M. Rams, P. Czarnik, and L. Cincio, Precise extrapolation of the correlation function asymptotics in uniform tensor network states with application to the Bose-Hubbard and XXZ models, Phys. Rev. X 8, 041033 (2018).
- L. Tagliacozzo, T. R. de Oliveira, S. Iblisdir, and J. I. Latorre, Scaling of entanglement support for matrix product states, Phys. Rev. B 78, 024410 (2008).
- F. Pollmann, S. Mukerjee, A. M. Turner, and J. E. Moore, Theory of finite-entanglement scaling at one-dimensional quantum critical points, Phys. Rev. Lett. 102, 255701 (2009).
- B. Pirvu, G. Vidal, F. Verstraete, and L. Tagliacozzo, Matrix product states for critical spin chains: Finite-size versus finite-entanglement scaling, Phys. Rev. B 86, 075117 (2012).