NLTS Hamiltonians from Good Quantum Codes

Abstract. The no low-energy trivial state (NLTS) conjecture of Freedman and Hastings [ Quantum Inf. Comput., 14 (2014), pp. 144–180] posits that there exist families of Hamiltonians with all low energy states of nontrivial complexity (with complexity measured by the quantum circuit depth preparing the state). We prove this conjecture by showing that families of constant-rate and linear-distance qLDPC codes correspond to NLTS local Hamiltonians.

Authors

Institutions

Publication Details

Journal
SIAM Journal on Computing
Published
2026-09-04
DOI
https://doi.org/10.1137/23m1608045
Citations
2
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

NLTS Hamiltonians from Good Quantum Codes

Nikolas P. Breuckmann, Chinmay Nirkhe
2 citations
SIAM Journal on Computing
Quantum Computing Algorithms and Architecture
article

NLTS Hamiltonians from Good Quantum Codes

Nikolas P. Breuckmann, Chinmay Nirkhe
article en
2 citations

Abstract

Abstract. The no low-energy trivial state (NLTS) conjecture of Freedman and Hastings [ Quantum Inf. Comput., 14 (2014), pp. 144–180] posits that there exist families of Hamiltonians with all low energy states of nontrivial complexity (with complexity measured by the quantum circuit depth preparing the state). We prove this conjecture by showing that families of constant-rate and linear-distance qLDPC codes correspond to NLTS local Hamiltonians.

SIAM Journal on Computing
Harvard University (US), University of Washington (US), University of Bristol (GB)
National Science Foundation, Harvard University, University College London, Simons Institute for the Theory of Computing, University of California Berkeley, Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 100%
Quantum Computing Algorithms and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.