Skip to content
aiqbench takeQuantum Computing

aiqbench analysis

This paper outlines the capabilities of neutral atom arrays as a versatile platform for both digital and analogue quantum simulation, specifically targeting complex problems in materials science and quantum chemistry. By leveraging large-scale programmable Hamiltonians and error-corrected logical qubits, this architecture offers distinct advantages for modeling topological phases and weighted graph optimization. The work underscores the growing maturity of neutral atom systems as a leading contender for practical quantum advantage in chemical simulation.
Sources coveringarXiv, Quantum Computing Report, Quantum Zeitgeist, The Quantum Insider
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Neutral atom quantum computing for materials science and quantum chemistry

arXiv1 min read

arXiv:2609.20464v1 Announce Type: new Abstract: Neutral atom arrays have emerged as versatile platforms for performing both digital and analogue quantum computing and simulation, with demonstrations ranging from large-scale programmable Hamiltonians realising topological phases or weighted graph optimisation to error-corrected logical qubits with transverse gate operations. This paper provides a broad overview to the neutral atom platform, and the potential applications relevant to materials science and quantum chemistry.

Abstract:Neutral atom arrays have emerged as versatile platforms for performing both digital and analogue quantum computing and simulation, with demonstrations ranging from large-scale programmable Hamiltonians realising topological phases or weighted graph optimisation to error-corrected logical qubits with transverse gate operations. This paper provides a broad overview to the neutral atom platform, and the potential applications relevant to materials science and quantum chemistry.

Quantum Physics (quant-ph); Atomic Physics (physics.atom-ph)

arXiv:2609.20464 [quant-ph]

(or arXiv:2609.20464v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.20464 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 159 words

Related coverage