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Coherent quantum annealing in a programmable 2,000 qubit Ising chain

TLDR
In this paper , the authors demonstrate coherent evolution through a quantum phase transition in the paradigmatic setting of a one-dimensional transverse-field Ising chain, using up to 2,000 superconducting flux qubits in a programmable quantum annealer.
Abstract
Quantum simulation has emerged as a valuable arena for demonstrating and understanding the capabilities of near-term quantum computers1–3. Quantum annealing4,5 has been successfully used in simulating a range of open quantum systems, both at equilibrium6–8 and out of equilibrium9–11. However, in all previous experiments, annealing has been too slow to coherently simulate a closed quantum system, due to the onset of thermal effects from the environment. Here we demonstrate coherent evolution through a quantum phase transition in the paradigmatic setting of a one-dimensional transverse-field Ising chain, using up to 2,000 superconducting flux qubits in a programmable quantum annealer. In large systems, we observe the quantum Kibble–Zurek mechanism with theoretically predicted kink statistics, as well as characteristic positive kink–kink correlations, independent of temperature. In small chains, excitation statistics validate the picture of a Landau–Zener transition at a minimum gap. In both cases, the results are in quantitative agreement with analytical solutions to the closed-system quantum model. For slower anneals, we observe anti-Kibble–Zurek scaling in a crossover to the open quantum regime. The coherent dynamics of large-scale quantum annealers demonstrated here can be exploited to perform approximate quantum optimization, machine learning and simulation tasks. The coherent dynamics of the transverse-field Ising model driven through a quantum phase transition can be accurately simulated using a large-scale quantum annealer.

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Journal ArticleDOI

NISQ computing: where are we and where do we go?

TL;DR: In this article , the authors provide an easy-to-read introduction to the state of the art in quantum computing with minimal mathematics involved, focusing on what is termed the Noisy Intermediate Scale Quantum era of quantum computing.
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Quantum annealing: an overview

TL;DR: In this article , the authors provide an overview of quantum annealing and its application in the context of adiabatic quantum computation, and discuss associated models, both pure and disordered, and shed light on implementations and some recent applications.

Basic elements for simulations of standard-model physics with quantum annealers: Multigrid and clock states

TL;DR: In this paper , the authors explore the potential of D-Wave's quantum annealers for computing some of the basic com-ponents required for quantum simulations of Standard Model physics.
Journal ArticleDOI

Basic elements for simulations of standard-model physics with quantum annealers: Multigrid and clock states

- 14 Nov 2022 - 
TL;DR: In this article , the authors explore the potential of D-Wave's quantum annealers for computing some of the basic components required for quantum simulations of Standard Model physics, including harmonic and anharmonic oscillators relevant for lattice scalar field theories and effective field theories.
References
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Journal ArticleDOI

Density matrix formulation for quantum renormalization groups

TL;DR: A generalization of the numerical renormalization-group procedure used first by Wilson for the Kondo problem is presented and it is shown that this formulation is optimal in a certain sense.
Journal ArticleDOI

Non-Adiabatic Crossing of Energy Levels

TL;DR: In this paper, the crossing of a polar and homopolar state of a molecule with stationary nuclei has been studied, and the essential features may be illustrated in the crossing.
Journal ArticleDOI

The density-matrix renormalization group in the age of matrix product states

TL;DR: This paper gives a detailed exposition of current DMRG thinking in the MPS language in order to make the advisable implementation of the family of D MRG algorithms in exclusively MPS terms transparent.
Journal ArticleDOI

Density-matrix algorithms for quantum renormalization groups.

TL;DR: A formulation of numerical real-space renormalization groups for quantum many-body problems is presented and several algorithms utilizing this formulation are outlined, which can be applied to almost any one-dimensional quantum lattice system, and can provide a wide variety of static properties.
Journal ArticleDOI

Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets

TL;DR: The experimental optimization of Hamiltonian problems with up to six qubits and more than one hundred Pauli terms is demonstrated, determining the ground-state energy for molecules of increasing size, up to BeH2.
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