English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Quantum computers and simulators may offer significant advantages over theirclassical counterparts, providing insights into quantum many-body systems andpossibly improving performance for solving exponentially hard problems, such asoptimization and satisfiability. Here we report the implementation of alow-depth Quantum Approximate Optimization Algorithm (QAOA) using an analogquantum simulator. We estimate the ground state energy of the Transverse FieldIsing Model with long-range interactions with tunable range and we optimize thecorresponding combinatorial classical problem by sampling the QAOA output withhigh-fidelity, single-shot individual qubit measurements. We execute thealgorithm with both an exhaustive search and closed-loop optimization of thevariational parameters, approximating the ground state energy with up to 40trapped-ion qubits. We benchmark the experiment with bootstrapping heuristicmethods scaling polynomially with the system size. We observe, in agreementwith numerics, that the QAOA performance does not degrade significantly as wescale up the system size, and that the runtime is approximately independentfrom the number of qubits. We finally give a comprehensive analysis of theerrors occurring in our system, a crucial step in the path forward towards theapplication of the QAOA to more general problem instances.

Quantum Approximate Optimization of the Long-Range Ising Model with a Trapped-Ion Quantum Simulator