Skip to content
aiqbench takeQuantum Computing

aiqbench analysis

This research advances the mathematical foundations of quantum many-body physics by proposing an efficient representation scheme for anti-symmetric functions, which are central to describing fermionic systems in high dimensions. The work demonstrates that a specific ansatz can exactly represent these continuous functions with basis function counts scaling efficiently relative to particle number, addressing a long-standing problem in computational quantum mechanics.
Source coveringarXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Exact and Efficient Representation of Totally Anti-Symmetric Functions

arXiv1 min read

arXiv:2311.05064v3 Announce Type: replace-cross Abstract: This paper concerns the long-standing question of representing (totally) anti-symmetric functions in high dimensions. We propose a new ansatz based on the composition of an odd function with a fixed set of anti-symmetric basis functions. We prove that this ansatz can exactly represent every anti-symmetric and continuous function and the number of basis functions has efficient scaling with respect to dimension (number of particles). The singular locus of the anti-symmetric basis functions is precisely identified.

Abstract:This paper concerns the long-standing question of representing (totally) anti-symmetric functions in high dimensions. We propose a new ansatz based on the composition of an odd function with a fixed set of anti-symmetric basis functions. We prove that this ansatz can exactly represent every anti-symmetric and continuous function and the number of basis functions has efficient scaling with respect to dimension (number of particles). The singular locus of the anti-symmetric basis functions is precisely identified.

Classical Analysis and ODEs (math.CA); Computational Physics (physics.comp-ph); Quantum Physics (quant-ph)

arXiv:2311.05064 [math.CA]

(or arXiv:2311.05064v3 [math.CA] for this version)

https://doi.org/10.48550/arXiv.2311.05064 Focus to learn more arXiv-issued DOI via DataCite

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 · 175 words

Related coverage