107 citations · 141 across the 4 of their papers we have counts for
5 papers
Achieving fair sampling in quantum annealing
Vaibhaw Kumar, Casey Tomlin, Curt Nehrkorn +2
Sampling all ground states of a Hamiltonian with equal probability is a desired feature of a sampling algorithm, but recent studies indicate that common variants of transverse fiel…
Optimizing the Optimizer: Decomposition Techniques for Quantum Annealing
Gideon Bass, Max Henderson, Joshua Heath +1
Although quantum computing hardware has evolved significantly in recent years, spurred by increasing industrial and government interest, the size limitation of current generation q…
Heterogeneous Quantum Computing for Satellite Constellation Optimization: Solving the Weighted K-Clique Problem
Gideon Bass, Casey Tomlin, Vaibhaw Kumar +2
NP-hard optimization problems scale very rapidly with problem size, becoming unsolvable with brute force methods, even with supercomputing resources. Typically, such problems have…
Quantum Annealing for Combinatorial Clustering
Vaibhaw Kumar, Gideon Bass, Casey Tomlin +1
Clustering is a powerful machine learning technique that groups "similar" data points based on their characteristics. Many clustering algorithms work by approximating the minimizat…
Developing Quantum Annealer Driven Data Discovery
Joseph Dulny, Michael Kim
Machine learning applications are limited by computational power. In this paper, we gain novel insights into the application of quantum annealing (QA) to machine learning (ML) thro…