13 citations · 15 across the 3 of their papers we have counts for
7 papers
EQUAL: Improving the Fidelity of Quantum Annealers by Injecting Controlled Perturbations
Ramin Ayanzadeh, Poulami Das, Swamit S. Tannu +1
Quantum computing is an information processing paradigm that uses quantum-mechanical properties to speedup computationally hard problems. Although promising, existing gate-based qu…
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…
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…
A Survey on Compressive Sensing: Classical Results and Recent Advancements
Ahmad Mousavi, Mehdi Rezaee, Ramin Ayanzadeh
Recovering sparse signals from linear measurements has demonstrated outstanding utility in a vast variety of real-world applications. Compressive sensing is the topic that studies…
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…