12 citations · 32 across the 8 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…
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…
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…
Applying Multi-qubit Correction to Frustrated Cluster Loops on an Adiabatic Quantum Computer
John E. Dorband
The class of problems represented by frustrated cluster loops, FCL, is a robust set of problems that spans a wide range of computational difficulty and that are easy to determine w…
Extending the D-Wave with support for Higher Precision Coefficients
John E. Dorband
D-Wave only guarantees to support coefficients with 4 to 5 bits of resolution or precision. This paper describes a method to extend the functionality of the D-Wave to solve problem…
A Method of Finding a Lower Energy Solution to a QUBO/Ising Objective Function
John E. Dorband
A new method to find a lower energy solution to a QUBO/Ising objective function will be presented in this paper. It is applied to samples returned from the D-Wave for various examp…
Improving the Accuracy of an Adiabatic Quantum Computer
John E. Dorband
The purpose of the D-Wave adiabatic quantum computer is to find a set of qubit values that minimize its objective function. For various reasons, the set of qubit values returned by…
A Boltzmann Machine Implementation for the D-Wave
John E. Dorband
The D-Wave is an adiabatic quantum computer. It is an understatement to say that it is not a traditional computer. It can be viewed as a computational accelerator or more precisely…
Stochastic Characteristics of Qubits and Qubit chains on the D-Wave 2X
John E. Dorband
This document presents a studies of the stochastic behavior of D-Wave qubits, qubit cells, and qubit chains. The purpose of this paper is to address the algorithmic behavior of exe…