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M. Halem

8 papers hereh-index 201.6k citations155 works total

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

author position
  • middle author5
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • quant-ph4
  • cs.IT2
  • cs.CL1
  • cs.DC1
same name
  • M. Halem — 1 paper, h 0

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
20182020
most citedQuantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty

13 citations · 15 across the 3 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

quant-ph2019

Quantum-Assisted Greedy Algorithms

Ramin Ayanzadeh, Milton Halem, John Dorband +1

We show how to leverage quantum annealers to better select candidates in greedy algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics for making…

cs.DC2019

Exploring the Behavior of Coherent Accelerator Processor Interface (CAPI) on IBM Power8+ Architecture and FlashSystem 900

Kaushik Velusamy, Smriti Prathapan, Milton Halem

The Coherent Accelerator Processor Interface (CAPI) is a general term for the infrastructure that provides high throughput and low latency path to the flash storage connected to th…

cs.IT2019★ 2 cited

SAT-based Compressive Sensing

Ramin Ayanzadeh, Milton Halem, Tim Finin

We propose to reduce the original well-posed problem of compressive sensing to weighted-MAX-SAT. Compressive sensing is a novel randomized data acquisition approach that linearly s…

cs.IT2019★ 13 cited

Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty

Ramin Ayanzadeh, Seyedahmad Mousavi, Milton Halem +1

Compressive sensing is a novel approach that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling rate and outperforms traditional sign…

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