Enhancing Detection of Topological Order by Local Error Correction
- URL: http://arxiv.org/abs/2209.12428v2
- Date: Mon, 31 Jul 2023 03:29:48 GMT
- Title: Enhancing Detection of Topological Order by Local Error Correction
- Authors: Iris Cong, Nishad Maskara, Minh C. Tran, Hannes Pichler, Giulia
Semeghini, Susanne F. Yelin, Soonwon Choi, Mikhail D. Lukin
- Abstract summary: We introduce a new paradigm for quantifying topological states by combining methods of error correction with ideas of renormalization-group flow.
We demonstrate the power of LED using numerical simulations of the toric code under a variety of perturbations.
We then apply it to an experimental realization, providing new insights into a quantum spin liquid created on a Rydberg-atom simulator.
- Score: 0.5025737475817937
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The exploration of topologically-ordered states of matter is a long-standing
goal at the interface of several subfields of the physical sciences. Such
states feature intriguing physical properties such as long-range entanglement,
emergent gauge fields and non-local correlations, and can aid in realization of
scalable fault-tolerant quantum computation. However, these same features also
make creation, detection, and characterization of topologically-ordered states
particularly challenging. Motivated by recent experimental demonstrations, we
introduce a new paradigm for quantifying topological states -- locally
error-corrected decoration (LED) -- by combining methods of error correction
with ideas of renormalization-group flow. Our approach allows for efficient and
robust identification of topological order, and is applicable in the presence
of incoherent noise sources, making it particularly suitable for realistic
experiments. We demonstrate the power of LED using numerical simulations of the
toric code under a variety of perturbations. We subsequently apply it to an
experimental realization, providing new insights into a quantum spin liquid
created on a Rydberg-atom simulator. Finally, we extend LED to generic
topological phases, including those with non-abelian order.
Related papers
- Efficient computation of topological order [0.0]
We analyze the computational aspects of detecting topological order in a quantum many-body system.
We find exponential scaling with system size for the former and scaling for the latter.
Our strategy can be readily generalized to higher dimensions and systems out of equilibrium.
arXiv Detail & Related papers (2024-09-19T12:30:27Z) - Probing topological entanglement on large scales [0.0]
Topologically ordered quantum matter exhibits intriguing long-range patterns of entanglement, which reveal themselves in subsystem entropies.
We propose a protocol based on local adiabatic deformations of the Hamiltonian which extracts the universal features of long-range entanglement.
arXiv Detail & Related papers (2024-08-22T18:00:01Z) - Predicting Topological Entanglement Entropy in a Rydberg analog simulator [0.0]
This work focuses on the dynamical preparation of a quantum-spin-liquid state on a Rydberg-atom simulator.
The flexibility of our approach does not only allow one to match the physically correct form of the Rydberg-atom Hamiltonian but also the relevant lattice topology.
We show that, while the simulated state exhibits (global) topological order and local properties resembling those of a resonating-valence-bond (RVB) state, it lacks the latter's characteristic topological entanglement entropy signature.
arXiv Detail & Related papers (2024-06-28T12:27:42Z) - Real-space detection and manipulation of topological edge modes with
ultracold atoms [56.34005280792013]
We demonstrate an experimental protocol for realizing chiral edge modes in optical lattices.
We show how to efficiently prepare particles in these edge modes in three distinct Floquet topological regimes.
We study how edge modes emerge at the interface and how the group velocity of the particles is modified as the sharpness of the potential step is varied.
arXiv Detail & Related papers (2023-04-04T17:36:30Z) - Non-Abelian Floquet Spin Liquids in a Digital Rydberg Simulator [0.0]
We introduce and analyze a new approach to simulating topological matter based on periodic driving.
We show that this approach, including the toolbox for preparation, control, and readout of topological states, can be efficiently implemented in state-of-the-art experimental platforms.
arXiv Detail & Related papers (2022-10-31T18:00:01Z) - Probing finite-temperature observables in quantum simulators of spin
systems with short-time dynamics [62.997667081978825]
We show how finite-temperature observables can be obtained with an algorithm motivated from the Jarzynski equality.
We show that a finite temperature phase transition in the long-range transverse field Ising model can be characterized in trapped ion quantum simulators.
arXiv Detail & Related papers (2022-06-03T18:00:02Z) - Accessing the topological Mott insulator in cold atom quantum simulators
with realistic Rydberg dressing [58.720142291102135]
We investigate a realistic scenario for the quantum simulation of such systems using cold Rydberg-dressed atoms in optical lattices.
We perform a detailed analysis of the phase diagram at half- and incommensurate fillings, in the mean-field approximation.
We furthermore study the stability of the phases with respect to temperature within the mean-field approximation.
arXiv Detail & Related papers (2022-03-28T14:55:28Z) - Methods for simulating string-net states and anyons on a digital quantum
computer [2.119778346188635]
We show how to realize a large class of topologically ordered states and simulate their quasiparticle excitations on a digital quantum computer.
We show that the abelian (non-abelian) unitary string operators can be implemented with a constant (linear) depth quantum circuit.
This set of efficiently prepared topologically ordered states has potential applications in the development of fault-tolerant quantum computers.
arXiv Detail & Related papers (2021-10-05T13:09:51Z) - Leveraging Global Parameters for Flow-based Neural Posterior Estimation [90.21090932619695]
Inferring the parameters of a model based on experimental observations is central to the scientific method.
A particularly challenging setting is when the model is strongly indeterminate, i.e., when distinct sets of parameters yield identical observations.
We present a method for cracking such indeterminacy by exploiting additional information conveyed by an auxiliary set of observations sharing global parameters.
arXiv Detail & Related papers (2021-02-12T12:23:13Z) - Unsupervised machine learning of topological phase transitions from
experimental data [52.77024349608834]
We apply unsupervised machine learning techniques to experimental data from ultracold atoms.
We obtain the topological phase diagram of the Haldane model in a completely unbiased fashion.
Our work provides a benchmark for unsupervised detection of new exotic phases in complex many-body systems.
arXiv Detail & Related papers (2021-01-14T16:38:21Z) - Probing chiral edge dynamics and bulk topology of a synthetic Hall
system [52.77024349608834]
Quantum Hall systems are characterized by the quantization of the Hall conductance -- a bulk property rooted in the topological structure of the underlying quantum states.
Here, we realize a quantum Hall system using ultracold dysprosium atoms, in a two-dimensional geometry formed by one spatial dimension.
We demonstrate that the large number of magnetic sublevels leads to distinct bulk and edge behaviors.
arXiv Detail & Related papers (2020-01-06T16:59:08Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.