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Brad Lackey

21 papers hereh-index 14687 citations37 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author2
  • middle author6
  • last author11

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • quant-ph15
  • cs.DS2
  • hep-th2
  • cs.LO1
  • math.DG1
same name
  • Brad Lackey — 3 papers, h 1
  • Brad Lackey — 2 papers, h 2
  • Brad Lackey — 2 papers, h 2
  • Brad Lackey — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19992026
most citedReadiness of Quantum Optimization Machines for Industrial Applications

45 citations · 203 across the 20 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

quant-ph2018

Mathematical methods for resource-based type theories

Aarthi Sundaram, Brad Lackey

With the wide range of quantum programming languages on offer now, efficient program verification and type checking for these languages presents a challenge -- especially when clas…

quant-ph2018

Morphisms in categories of nonlocal games

Brad Lackey, Nishant Rodrigues

Synchronous correlations provide a class of nonlocal games that behave like functions between finite sets. In this work we examine categories whose morphisms are games with synchro…

cs.DS2018★ 3 cited

A belief propagation algorithm based on domain decomposition

Brad Lackey

This note provides a detailed description and derivation of the domain decomposition algorithm that appears in previous works by the author. Given a large re-estimation problem, do…

quant-ph2018★ 4 cited

Quantum adiabatic optimization without heuristics

Michael Jarret, Brad Lackey, Aike Liu +1

Quantum adiabatic optimization (QAO) is performed using a time-dependent Hamiltonian H(s) with spectral gap γ(s). Assuming the existence of an oracle Γ such that $γ_\min = Θ\…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.