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Interacting Quantum Many Body Systems

When you take many objects and let them interact together, it is often simpler to describe the behaviour of the group differently from the way one would describe the individual objects. Consider a flock of starlings like that of fig. 1. Watching the flock you’ll see that it has a distinct outline, that waves of density will sometimes propagate through the closely packed birds and that the flock seems to respond to predators as a distinct object. The natural description of this phenomena is couched in terms of the flock rather than of the individual birds.

The behaviours of the flock are an emergent phenomena. The starlings are only interacting with their immediate six or seven neighbours  [1,2], what a physicist would call a local interaction. There is much philosophical debate about how exactly to define emergence  [3,4] but for our purposes it enough to say that emergence is the fact that the aggregate behaviour of many interacting objects may necessitate a description very different from that of the individual objects.

Figure 1: A murmuration of starlings. Dorset, UK. Credit Tanya Hart, “Studland Starlings”, 2017, CC BY-SA 3.0

To give an example closer to the topic at hand, our understanding of thermodynamics began with bulk properties like heat, energy, pressure and temperature  [5]. It was only later that we gained an understanding of how these properties emerge from microscopic interactions between very large numbers of particles  [6].

Condensed Matter is, at its heart, the study of what behaviours emerge from large numbers of interacting quantum objects at low energy. When these three properties are present together: a large number of objects, those objects being quantum and there are interaction between the objects, we call it an interacting quantum many body system. From these three ingredients nature builds all manner of weird and wonderful materials.

Historically, we made initial headway in the study of many-body systems, ignoring interactions and quantum properties. The ideal gas law and the Drude classical electron gas  [7] are good examples. Including interactions into many-body physics leads to the Ising model  [8], Landau theory  [9] and the classical theory of phase transitions  [10]. In contrast, condensed matter theory got it state in quantum many-body theory. Bloch’s theorem  [11] predicted the properties of non-interacting electrons in crystal lattices, leading to band theory. In the same vein, advances were made in understanding the quantum origins of magnetism, including ferromagnetism and antiferromagnetism  [12].

However, at some point we had to start on the interacting quantum many body systems. The properties of some materials cannot be understood without a taking into account all three effects and these are collectively called strongly correlated materials. The canonical examples are superconductivity  [13], the fractional quantum hall effect  [14] and the Mott insulators  [15,16]. We’ll start by looking at the latter but shall see that there are many links between three topics.

Mott Insulators

Mott Insulators are remarkable because their electrical insulator properties come from electron-electron interactions. Electrical conductivity, the bulk movement of electrons, requires both that there are electronic states very close in energy to the ground state and that those states are delocalised so that they can contribute to macroscopic transport. Band insulators are systems whose Fermi level falls within a gap in the density of states and thus fail the first criteria. Band insulators derive their character from the characteristics of the underlying lattice. Anderson Insulators have only localised electronic states near the fermi level and therefore fail the second criteria. We will discuss Anderson insulators and disorder in a later section.

Both band and Anderson insulators occur without electron-electron interactions. Mott insulators, by contrast, require a many body picture to understand and thus elude band theory and single-particle methods.

Figure 2: Three key adjectives. Many Body, the fact of describing systems in the limit of large numbers of particles. Quantum, objects whose behaviour requires quantum mechanics to describe accurately. Interacting, the constituent particles of the system affect one another via forces, either directly or indirectly. When taken together, these three properties can give rise to what are called strongly correlated materials.

The theory of Mott insulators developed out of the observation that many transition metal oxides are erroneously predicted by band theory to be conductive  [17] leading to the suggestion that electron-electron interactions were the cause of this effect  [18]. Interest grew with the discovery of high temperature superconductivity in the cuprates in 1986  [19] which is believed to arise as the result of a doped Mott insulator state  [20].

The canonical toy model of the Mott insulator is the Hubbard model  [2123] of \(1/2\) fermions hopping on the lattice with hopping parameter \(t\) and electron-electron repulsion \(U\)

\[ H_{\mathrm{H}} = -t \sum_{\langle i,j \rangle \alpha} c^\dagger_{i\alpha} c_{j\alpha} + U \sum_i n_{i\uparrow} n_{i\downarrow} - \mu \sum_{i,\alpha} n_{i\alpha}\]

where \(c^\dagger_{i\alpha}\) creates a spin \(\alpha\) electron at site \(i\) and the number operator \(n_{i\alpha}\) measures the number of electrons with spin \(\alpha\) at site \(i\). The sum runs over lattice neighbours \(\langle i,j \rangle\) including both \(\langle i,j \rangle\) and \(\langle j,i \rangle\) so that the model is Hermition.

In the non-interacting limit \(U << t\), the model reduces to free fermions and the many-body ground state is a separable product of Bloch waves filled up to the Fermi level. In the interacting limit \(U >> t\) on the other hand, the system breaks up into a product of local moments, each in one the four states \(|0\rangle, |\uparrow\rangle, |\downarrow\rangle, |\uparrow\downarrow\rangle\) depending on the filing.

The Mott insulating phase occurs at half filling \(\mu = \tfrac{U}{2}\) where there is one electron per lattice site  [24]. Here the model can be rewritten in a symmetric form \[ H_{\mathrm{H}} = -t \sum_{\langle i,j \rangle \alpha} c^\dagger_{i\alpha} c_{j\alpha} + U \sum_i (n_{i\uparrow} - \tfrac{1}{2})(n_{i\downarrow} - \tfrac{1}{2})\]

The basic reason that the half filled state is insulating seems is trivial. Any excitation must include states of double occupancy that cost energy \(U\), hence the system has a finite bandgap and is an interaction driven Mott insulator. Depending on the lattice, the local moments may then order antiferromagnetically. Originally it was proposed that this antiferromagnetic order was the cause of the gap opening  [25]. However, Mott insulators have been found  [26,27] without magnetic order. Instead the local moments may form a highly entangled state known as a quantum spin liquid, which will be discussed shortly.

Various theoretical treatments of the Hubbard model have been made, including those based on Fermi liquid theory, mean field treatments, the local density approximation (LDA)  [28] and dynamical mean-field theory  [29]. None of these approaches are perfect. Strong correlations are poorly described by the Fermi liquid theory and the LDA approaches while mean field approximations do poorly in low dimensional systems. This theoretical difficulty has made the Hubbard model a target for cold atom simulations  [30].

From here the discussion will branch two directions. First, we will discuss a limit of the Hubbard model called the Falikov-Kimball Model. Second, we will look at quantum spin liquids and the Kitaev honeycomb model.

The Falikov-Kimball Model

Though not the original reason for its introduction, the Falikov-Kimball (FK) model is the limit of the Hubbard model as the mass ratio of the spin up and spin down electron is taken to infinity. This gives a model with two fermion species, one itinerant and one entirely immobile. The number operators for the immobile fermions are therefore conserved quantities and can be be treated like classical degrees of freedom. For our purposes it will be useful to replace the immobile fermions with a classical Ising background field \(S_i = \pm1\).

\[\begin{aligned} H_{\mathrm{FK}} = & -\;t \sum_{\langle i,j \rangle} c^\dagger_{i}c_{j} + \;U \sum_{i} S_i\;(c^\dagger_{i}c_{i} - \tfrac{1}{2}). \\ \end{aligned}\]

Given that the physics of states near the metal-insulator (MI) transition is still poorly understood  [31,32] the FK model provides a rich test bed to explore interaction driven MI transition physics. Despite its simplicity, the model has a rich phase diagram in \(D \geq 2\) dimensions. It shows an Mott insulator transition even at high temperature, similar to the corresponding Hubbard Model  [33]. In 1D, the ground state phenomenology as a function of filling can be rich  [34] but the system is disordered for all \(T > 0\)  [35]. The model has also been a test-bed for many-body methods, interest took off when an exact dynamical mean-field theory solution in the infinite dimensional case was found  [3639].

In Chapter 3 I will introduce a generalized FK model in one dimension. With the addition of long-range interactions in the background field, the model shows a similarly rich phase diagram. I use an exact Markov chain Monte Carlo method to map the phase diagram and compute the energy-resolved localization properties of the fermions. I then compare the behaviour of this transitionally invariant model to an Anderson model of uncorrelated binary disorder about a background charge density wave field which confirms that the fermionic sector only fully localizes for very large system sizes.

Quantum Spin Liquids

To turn to the other key topic of this thesis, we have discussed the question of the magnetic ordering of local moments in the Mott insulating state. The local moments may form an AFM ground state. Alternatively they may fail to order even at zero temperature  [26,27], giving rise to what is known as a quantum spin liquid (QSL) state.

Landau theory characterises phases of matter as inextricably linked to the emergence of long range order via a spontaneously broken symmetry. The fractional quantum Hall (FQH) state, discovered in the 1980s is an explicit example of an electronic system that falls outside of the Landau paradigm. FQH systems exhibit fractionalised excitations linked to their ground state having long range entanglement and non-trivial topological properties  [40]. Quantum spin liquids are the analogous phase of matter for spin systems. Remarkably the existence of QSLs was first suggested by Anderson in 1973  [41].

Figure 3: From  [42].

The main route to QSLs, though there are others  [4345], is via frustration of spin models that would otherwise order have AFM order. This frustration can come geometrically, triangular lattices for instance cannot support AFM order. It can also come about as a result of spin-orbit coupling.

Electron spin naturally couples to magnetic fields. Spin-orbit coupling is a relativistic effect, that very roughly corresponds to the fact that in the frame of reference of a moving electron, the electric field of nearby nuclei look like magnetic field to which the electron spin couples. In certain transition metal based compounds, such as those based on Iridium and Rutheniun, crystal field effects, strong spin-orbit coupling and narrow bandwidths lead to effective spin-\(\tfrac{1}{2}\) Mott insulating states with strongly anisotropic spin-spin couplings  [42].

The celebrated Kitaev model  [46]

QSLs are a long range entangled ground state of a highly frustated

Geometric frustration or spin-orbit coupling can prevent magnetic ordering is an important part of getting a QSL, suggests exploring the lattice and avenue of interest.

kinds of mott insulators: Mott-Heisenberg (AFM order below Néel temperature) Mott-Hubbard (no long-range order of local magnetic moments) Mott-Anderson (disorder + correlations) Wigner Crystal

Outline

This thesis is composed of two main studies of separate but related physical models, The Falikov-Kimball Model and the Kitaev-Honeycomb Model. In this chapter I will discuss the overarching motivations for looking at these two physical models. I will then review the literature and methods that are common to both models.

In Chapter 2 I will look at the Falikov-Kimball model. I will review what it is and why we would want to study it. I’ll survey what is already known about it and identify the gap in the research that we aim to fill, namely the model’s behaviour in one dimension. I’ll then introduce the modified model that we came up with to close this gap. I will present our results on the thermodynamic phase diagram and localisation properties of the model

In Chapter 3 I’ll study the Kitaev Honeycomb Model, following the same structure as Chapter 2 I will motivate the study, survey the literature and identify a gap. I’ll introduce our Amorphous Kitaev Model designed to fill this gap and present the results.

Finally in chapter 4 I will summarise the results and discuss what implications they have for our understanding interacting many-body quantum systems.

[1]
A. J. King and D. J. Sumpter, Murmurations, Current Biology 22, R112 (2012).
[2]
M. Ballerini et al., Interaction Ruling Animal Collective Behavior Depends on Topological Rather Than Metric Distance: Evidence from a Field Study, Proceedings of the National Academy of Sciences 105, 1232 (2008).
[3]
P. W. Anderson, More Is Different, Science 177, 393 (1972).
[4]
S. Kivelson and S. A. Kivelson, Defining Emergence in Physics, Npj Quant Mater 1, 1 (2016).
[5]
W. M. Saslow, A History of Thermodynamics: The Missing Manual, Entropy (Basel) 22, 77 (2020).
[6]
D. Flamm, History and Outlook of Statistical Physics, arXiv:physics/9803005.
[7]
N. W. Ashcroft and N. D. Mermin, Solid State Physics (Holt, Rinehart and Winston, 1976).
[8]
E. Ising, Beitrag zur Theorie des Ferromagnetismus, Z. Physik 31, 253 (1925).
[9]
L. D. Landau and E. M. Lifshitz, Fluid Mechanics: Landau and Lifshitz: Course of Theoretical Physics, Volume 6, Vol. 6 (Elsevier, 2013).
[10]
[11]
[12]
S. Blundell, Magnetism in Condensed Matter (OUP Oxford, 2001).
[13]
J. Bardeen, L. N. Cooper, and J. R. Schrieffer, Microscopic Theory of Superconductivity, Phys. Rev. 106, 162 (1957).
[14]
D. E. Feldman and B. I. Halperin, Fractional Charge and Fractional Statistics in the Quantum Hall Effects, Rep. Prog. Phys. 84, 076501 (2021).
[15]
[16]
M. P. A. Fisher, Mott Insulators, Spin Liquids and Quantum Disordered Superconductivity, in Aspects Topologiques de La Physique En Basse Dimension. Topological Aspects of Low Dimensional Systems, edited by A. Comtet, T. Jolicœur, S. Ouvry, and F. David, Vol. 69 (Springer Berlin Heidelberg, Berlin, Heidelberg, 1999), pp. 575–641.
[17]
J. H. de Boer and E. J. W. Verwey, Semi-Conductors with Partially and with Completely Filled <Script>3d-Lattice Bands</Script>, Proc. Phys. Soc. 49, 59 (1937).
[18]
N. F. Mott and R. Peierls, Discussion of the Paper by de Boer and Verwey, Proc. Phys. Soc. 49, 72 (1937).
[19]
J. G. Bednorz and K. A. Müller, Possible highTc Superconductivity in the Ba−La−Cu−O System, Z. Physik B - Condensed Matter 64, 189 (1986).
[20]
P. A. Lee, N. Nagaosa, and X.-G. Wen, Doping a Mott Insulator: Physics of High-Temperature Superconductivity, Rev. Mod. Phys. 78, 17 (2006).
[21]
M. C. Gutzwiller, Effect of Correlation on the Ferromagnetism of Transition Metals, Phys. Rev. Lett. 10, 159 (1963).
[22]
J. Kanamori, Electron Correlation and Ferromagnetism of Transition Metals, Progress of Theoretical Physics 30, 275 (1963).
[23]
Hubbard, J., Electron Correlations in Narrow Energy Bands, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences 276, 238 (1963).
[24]
J. Hubbard and B. H. Flowers, Electron Correlations in Narrow Energy Bands III. An Improved Solution, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences 281, 401 (1964).
[25]
N. Mott, Metal-Insulator Transitions (CRC Press, London, 1990).
[26]
K. T. Law and P. A. Lee, 1t-TaS2 as a Quantum Spin Liquid, Proceedings of the National Academy of Sciences 114, 6996 (2017).
[27]
A. Ribak, I. Silber, C. Baines, K. Chashka, Z. Salman, Y. Dagan, and A. Kanigel, Gapless Excitations in the Ground State of <Script>$1T\text{\ensuremath{-}}{\Mathrm{TaS}}_{2}$</Script>, Phys. Rev. B 96, 195131 (2017).
[28]
J. C. Slater, Magnetic Effects and the Hartree-Fock Equation, Phys. Rev. 82, 538 (1951).
[29]
M. Greiner, O. Mandel, T. Esslinger, T. W. Hänsch, and I. Bloch, Quantum Phase Transition from a Superfluid to a Mott Insulator in a Gas of Ultracold Atoms, Nature 415, 39 (2002).
[30]
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 545, 462 (2017).
[31]
D. Belitz and T. R. Kirkpatrick, The Anderson-Mott Transition, Rev. Mod. Phys. 66, 261 (1994).
[32]
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).
[33]
U. Brandt and C. Mielsch, Thermodynamics and Correlation Functions of the Falicov-Kimball Model in Large Dimensions, Z. Physik B - Condensed Matter 75, 365 (1989).
[34]
C. Gruber, J. Iwanski, J. Jedrzejewski, and P. Lemberger, Ground States of the Spinless Falicov-Kimball Model, Phys. Rev. B 41, 2198 (1990).
[35]
T. Kennedy and E. H. Lieb, An Itinerant Electron Model with Crystalline or Magnetic Long Range Order, Physica A: Statistical Mechanics and Its Applications 138, 320 (1986).
[36]
A. E. Antipov, E. Gull, and S. Kirchner, Critical Exponents of Strongly Correlated Fermion Systems from Diagrammatic Multiscale Methods, Phys. Rev. Lett. 112, 226401 (2014).
[37]
T. Ribic, G. Rohringer, and K. Held, Nonlocal Correlations and Spectral Properties of the Falicov-Kimball Model, Phys. Rev. B 93, 195105 (2016).
[38]
J. K. Freericks and V. Zlatić, Exact Dynamical Mean-Field Theory of the Falicov-Kimball Model, Rev. Mod. Phys. 75, 1333 (2003).
[39]
A. J. Herrmann, N. Tsuji, M. Eckstein, and P. Werner, Nonequilibrium Dynamical Cluster Approximation Study of the Falicov-Kimball Model, Phys. Rev. B 94, 245114 (2016).
[40]
C. Broholm, R. J. Cava, S. A. Kivelson, D. G. Nocera, M. R. Norman, and T. Senthil, Quantum Spin Liquids, Science 367, eaay0668 (2020).
[41]
P. W. Anderson, Resonating Valence Bonds: A New Kind of Insulator?, Materials Research Bulletin 8, 153 (1973).
[42]
S. Trebst and C. Hickey, Kitaev Materials, Physics Reports 950, 1 (2022).
[43]
L. Balents, M. P. A. Fisher, and C. Nayak, Nodal Liquid Theory of the Pseudo-Gap Phase of High-Tc Superconductors, Int. J. Mod. Phys. B 12, 1033 (1998).
[44]
L. Balents, M. P. A. Fisher, and C. Nayak, Dual Order Parameter for the Nodal Liquid, Phys. Rev. B 60, 1654 (1999).
[45]
H.-H. Lin, L. Balents, and M. P. A. Fisher, Exact SO(8) Symmetry in the Weakly-Interacting Two-Leg Ladder, Phys. Rev. B 58, 1794 (1998).
[46]
A. Kitaev, Anyons in an Exactly Solved Model and Beyond, Annals of Physics 321, 2 (2006).