!
You're viewing papers too quickly. Please wait a moment.<br>This helps keep the archive available for everyone.

Quick Navigation

Overview Topics Abstract Importance Paper Tools References Reactions Discussion Publication Related

Topics

Quantum Gravity Relativistic Quantum Information Quantum Machine Learning Quantum Simulation

A quantum computational perspective on spread complexity

Crossref
Authors: Cameron Beetar, Eric L. Graef, Jeff Murugan, Horatiu Nastase, Hendrik J.R. Van Zyl

Year

2026

Paper ID

69090

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

0

Citations

0

Abstract

No abstract available.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Become a member Sign in
Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

[1] DOI https://doi.org/10.1016/j.physletb.2026.140570 [2] Publisher https://doi.org/10.1016/j.physletb.2026.140570

Local Citation Graph (Related-Paper Links)

Current Paper #69090 #78846 Analog quantum simulation of Sh... #78828 Verifiable Sampling for Delegat... #78813 Large-Scale Benchmarking of Qua... #78810 Secure Quantum Handshakes: Quan...

External citation index: OpenAlex citation signal • updated 2026-10-19 13:19:01

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.