# Adiabatic Quantum Computing for Binary Clustering

arXiv: https://arxiv.org/abs/1706.05528 · HTML: https://mlsanity.com/paper/1706.05528/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Jun 2017.

## Built on by (most cited first, 1 of 1)

- [Clustering by Contour coreset and variational quantum eigensolver](https://mlsanity.com/paper/2312.03516/) (2023)

## Abstract (arXiv)

Quantum computing for machine learning attracts increasing attention and recent technological developments suggest that especially adiabatic quantum computing may soon be of practical interest. In this paper, we therefore consider this paradigm and discuss how to adopt it to the problem of binary clustering. Numerical simulations demonstrate the feasibility of our approach and illustrate how systems of qubits adiabatically evolve towards a solution.