13 citations · 15 across the 5 of their papers we have counts for
10 papers
Quantum-Assisted Greedy Algorithms
Ramin Ayanzadeh, John E Dorband, Milton Halem +1
We show how to leverage quantum annealers (QAs) to better select candidates in greedy algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics for…
Multi-Qubit Correction for Quantum Annealers
Ramin Ayanzadeh, John Dorband, Milton Halem +1
We present \emph{multi-qubit correction} (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open-system as a Gibbs sampler and reduces a se…
An Ensemble Approach for Compressive Sensing with Quantum
Ramin Ayanzadeh, Milton Halem, Tim Finin
We leverage the idea of a statistical ensemble to improve the quality of quantum annealing based binary compressive sensing. Since executing quantum machine instructions on a quant…
A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning
Jennifer Sleeman, John Dorband, Milton Halem
Understanding how the D-Wave quantum computer could be used for machine learning problems is of growing interest. Our work evaluates the feasibility of using the D-Wave as a sample…
Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach
Ramin Ayanzadeh, Milton Halem, Tim Finin
We introduce the reinforcement quantum annealing (RQA) scheme in which an intelligent agent interacts with a quantum annealer that plays the stochastic environment role of learning…
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…
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…
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…
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…
Ontology-Grounded Topic Modeling for Climate Science Research
Jennifer Sleeman, Tim Finin, Milton Halem
In scientific disciplines where research findings have a strong impact on society, reducing the amount of time it takes to understand, synthesize and exploit the research is invalu…