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arXiv:1311.0019 · Physical Review X

Thermalization, Error Correction, and Memory Lifetime for Ising Anyon Systems

Courtney G Brell, Simon Burton, Guillaume Dauphinais, Steven T. Flammia, David Poulin

Published Sep 30, 2014• 41 citations
arXivHTMLPDF

Abstract

We consider two-dimensional lattice models that support Ising anyonic excitations and are coupled to a thermal bath.We propose a phenomenological model for the resulting short-time dynamics that includes pair creation, hopping, braiding, and fusion of anyons.By explicitly constructing topological quantum error-correcting codes for this class of system, we use our thermalization model to estimate the lifetime of the quantum information stored in the encoded spaces.To decode and correct errors in these codes, we adapt several existing topological decoders to the non-Abelian setting.We perform large-scale numerical simulations of these two-dimensional Ising anyon systems and find that the thresholds of these models range from 13% to 25%.To our knowledge, these are the first numerical threshold estimates for quantum codes without explicit additive structure.

DOI
10.1103/physrevx.4.031058

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We consider two-dimensional lattice models that support Ising anyonic excitations and are coupled to a thermal bath.We propose a phenomenological model for the resulting short-time dynamics that includes pair creation, hopping, braiding, and fusion of anyons.By explicitly constructing topological quantum error-correcting codes for this class of system, we use our thermalization model to estimate the lifetime of the quantum information stored in the encoded spaces.To decode and correct errors in these codes, we adapt several existing topological decoders to the non-Abelian setting.We perform large-scale numerical simulations of these two-dimensional Ising anyon systems and find that the thresholds of these models range from 13% to 25%.To our knowledge, these are the first numerical threshold estimates for quantum codes without explicit additive structure.
The ability to store information is of fundamental importance to any computer, be it classical or quantum. To identify systems for quantum memories, which rely, analogously to classical memories, on passive error protection (``self-correction''), is of greatest interest in quantum information science. While systems with topological ground states have been considered to be promising candidates, a large class of them was recently proven unstable against thermal fluctuations. Here, we propose two-dimensional (2D) spin models unaffected by this result. Specifically, we introduce repulsive long-range interactions in the toric code and establish a memory lifetime polynomially increasing with the system size. This remarkable stability is shown to originate directly from the repulsive long-range nature of the interactions. We study the time dynamics of the quantum memory in terms of diffusing anyons and support our analytical results with extensive numerical simulations. Our findings demonstrate that self-correcting quantum memories can exist in 2D at finite temperatures.
Classically simulating the dynamics of anyonic excitations in two-dimensional quantum systems is likely intractable in general because such dynamics are sufficient to implement universal quantum computation. However, processes of interest for the study of quantum error correction in anyon systems are typically drawn from a restricted class that displays significant structure over a wide range of system parameters. We exploit this structure to classically simulate, and thereby demonstrate the success of, an error-correction protocol for a quantum memory based on the universal Fibonacci anyon model. We numerically simulate a phenomenological model of the system and noise processes on lattice sizes of up to $128\ifmmode\times\else\texttimes\fi{}128$ sites, and find a lower bound on the error-correction threshold of approximately 0.125 errors per edge, which is comparable to those previously known for Abelian and (nonuniversal) non-Abelian anyon models.
We propose and study a model of a quantum memory that features self-correcting properties and a lifetime growing arbitrarily with system size at nonzero temperature. This is achieved by locally coupling a two-dimensional $L\ifmmode\times\else\texttimes\fi{}L$ toric code to a three-dimensional (3D) bath of bosons hopping on a cubic lattice. When the stabilizer operators of the toric code are coupled to the displacement operator of the bosons, we solve the model exactly via a polaron transformation and show that the energy penalty to create anyons grows linearly with LLL. When the stabilizer operators of the toric code are coupled to the bosonic density operator, we use perturbation theory to show that the energy penalty for anyons scales with ln(L)\mathrm{ln}(L)ln(L). For a given error model, these energy penalties lead to a lifetime of the stored quantum information growing, respectively, exponentially and polynomially with LLL. Furthermore, we show how to choose an appropriate coupling scheme in order to hinder the hopping of anyons (and not only their creation) with energy barriers that are of the same order as the anyon creation gaps. We argue that a toric code coupled to a 3D Heisenberg ferromagnet realizes our model in its low-energy sector. Finally, we discuss the delicate issue of the stability of topological order in the presence of perturbations. While we do not derive a rigorous proof of topological order, we present heuristic arguments suggesting that topological order remains intact when perturbative operators acting on the toric code spins are coupled to the bosonic environment.
Developing quantum systems which are robust against noise are of prime importance to the realisation of quantum technologies. Without fault tolerance, we will never be able to preserve delicate quantum states for macroscopic time scales, a necessary requirement in the construction of scalable quantum computer. Topologically ordered models offer very beautiful mechanisms for preserving quantum states. In such models, quantum information is encoded globally over a degenerate topological Hilbert space which offers a natural robustness against local environmental noise. Remarkably, topological order is present in certain realistic condensed-matter systems. This provides a platform for accessing topological order in a laboratory. Moreover, considering condensed-matter systems enables us to combine topological features with other physical effects to enhance their behaviour. In this Thesis we study the physics of topologically ordered lattice models with defects. We seek practical applications of lattice defects for the realisation of a fault-tolerant quantum computer. The first result we present shows that anyonic data of point-like lattice defects, called twists, can be found by measuring the entanglement of the ground state of the host system. The data we learn relates to the capacity of a twist defect to perform quantum computational tasks. The second result in this Thesis concerns the dynamics of the qudit toric code model with line-like defects coupled to a thermal bath. We show we can entropically inspire fragile glassy dynamics in the system. Such dynamics qualitatively improve the coherence times of quantum information encoded in the ground state of the lattice. A novel way of achieving fault-tolerant quantum computation is by producing and manipulating twist defects of topologically ordered systems. In many ways, this paradigm of topological quantum computation is analogous to quantum computation using anyons. The first area of study in this Thesis extends the analogy between anyons and twists. Specifically, we show that the anyonic data of twists in Kitaev's toric code model can be extracted using topological entanglement entropy calculations in the same way as the same data can be extracted from anyons. We show this using a rigorously solvable lattice model as an example to produce exact analytic results. In particular, our results show we can extract the quantum dimension of a twist, and that we can study the quantum dimension of their fusion products. We compare the obtained results with the anyonic data of the Ising anyon model, further probing an analogy drawn previously in the literature. The second result presented in this Thesis shows that the application of lattice defects can introduce novel dynamics to a two-dimensional topologically ordered quantum memory where excitations carry different masses. A two-dimensional topological model which supports an anyon model with a splitting structure allowed by its fusion channels should be able to entropically achieve high-energy excitation configurations before quantum information encoded in its ground state decoheres. We introduce a grid of lattice defects to a local two-dimensional Hamiltonian model, which, when coupled to a thermal bath, will dynamically steer the excitations into high energy configurations with high probability within a suitable temperature regime. We demonstrate the proliferating dynamics using numerical simulations in a low-temperature regime where we show polynomial improvements in coherence times by increasing the system size for small system sizes, as well as coherence times which scale weakly super exponentially with the inverse temperature of the bath. The dynamics we demonstrate provide the first example of a system which entropically steers excitations into high-energy configurations. The dynamics we demonstrate may lead to the development of experimentally tractable architectures for low dimensional quantum memories. The study of thermal stability in this Thesis requires the development of methods of correcting topologically ordered lattices which have suffered errors. Namely, we require a decoding algorithm for the qudit generalisation of Kitaev's toric code. Further work presented in this Thesis compares rigorously two different decoding algorithms which use renormalisation-group techniques to process classical syndrome information about noise suffered by the topological code. In particular, we study the improvement in their thresholds as the local dimension of its physical systems increase. Our numerical results enable us to analyse and identify the limitations of the different methods of decoding.
Quantum gates in topological quantum computation are performed by braiding non-Abelian anyons. These braiding processes can presumably be performed with very low error rates. However, to make a topological quantum computation architecture truly scalable, even rare errors need to be corrected. Error correction for non-Abelian anyons is complicated by the fact that it needs to be performed on a continuous basis, and further errors may occur while we are correcting existing ones. Here, we prove the feasibility of this task, establishing non-Abelian anyons as a viable platform for scalable quantum computation. We thereby focus on Ising anyons as the most prominent example of non-Abelian anyons and show that for these a finite error rate can indeed be corrected continuously. There is a threshold error rate pc>0{p}_{c}>0pc​>0 such that for all error rates p<pcp<{p}_{c}p<pc​ the probability of a logical error per time step can be made exponentially small in the distance of a logical qubit.
Two-dimensional systems such as quantum spin liquids or fractional quantum Hall systems exhibit anyonic excitations that possess more general statistics than bosons or fermions. This exotic statistics makes it challenging to solve even a many-body system of non-interacting anyons. We introduce an algorithm that allows to simulate anyonic tight-binding Hamiltonians on two-dimensional lattices. The algorithm is directly derived from the low energy topological quantum field theory and is suited for general Abelian and non-Abelian anyon models. As concrete examples, we apply the algorithm to study the energy level spacing statistics, which reveals level repulsion for free semions, Fibonacci anyons, and Ising anyons. Additionally, we simulate nonequilibrium quench dynamics, where we observe that the density distribution becomes homogeneous for large times---indicating thermalization.