4 papers
Quantum Image Classification: Experiments on Utility-Scale Quantum Computers
Hrant Gharibyan, Hovnatan Karapetyan, Tigran Sedrakyan +4
We perform image classification on the Honda Scenes Dataset on Quantinuum's H-2 and IBM's Heron chips utilizing up to 72 qubits and thousands of two-qubit gates. For data loading,…
Quantum Image Loading: Hierarchical Learning and Block-Amplitude Encoding
Hrant Gharibyan, Hovnatan Karapetyan, Tigran Sedrakyan +4
Given the excitement for the potential of quantum computing for machine learning methods, a natural subproblem is how to load classical data into a quantum state. Leveraging insigh…
A self-adaptive system of systems architecture to enable its ad-hoc scalability: Unmanned Vehicle Fleet -- Mission Control Center Case study
Ahmed R. Sadik, Bram Bolder, Pero Subasic
A System of Systems (SoS) comprises Constituent Systems (CSs) that interact to provide unique capabilities beyond any single CS. A key challenge in SoS is ad-hoc scalability, meani…
Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy
Hao Tang, Brian Xiao, Wenhao He +6
Machine learning (ML) plays an important role in quantum chemistry, providing fast-to-evaluate predictive models for various properties of molecules. However, most existing ML mode…