Quick Navigation

Topics

Quantum Algorithms

Quantum Locally Testable Code with Constant Soundness

arXiv
Authors: Andrew Cross, Zhiyang He, Anand Natarajan, Mario Szegedy, Guanyu Zhu

Year

2022

Paper ID

59031

Status

Preprint

Abstract Read

~2 min

Abstract Words

122

Citations

N/A

Abstract

In this paper, we present two constructions of quantum locally testable codes (QLTC) with constant soundness. In the first approach, we introduce an operation called check product, and show how this operation gives rise to QLTCs of constant soundness, constant rate, and distance scaling with locality. In the second approach, we consider hypergraph product of a quantum code and a classical repetition code, and observe a special case in which the soundness of component codes is preserved. This insight leads us to construct QLTCs of constant soundness, scalable rate and distance, and constant average locality. Our work marks a step towards constructing QLTCs of high soundness and distance, which would give a different construction to the No Low-Energy Trivial States (NLTS) theorem.

Why This Paper Matters

  • It adds a 2022 reference point for readers tracking recent quantum research.
  • In this paper, we present two constructions of quantum locally testable codes (QLTC) with constant soundness.

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.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #59031 #78853 When irrelevance governs: dissi... #78852 Quantum Information-Theoretic A... #78851 Quantum-assisted rendezvous on ... #78850 An Instability of the Quantum M...

External citation index: OpenAlex citation signal

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.