Face Gender Recognition Using Hybrid Quantum Machine Learning
Tuesday, June 10, 2025 3:00 PM to Thursday, June 12, 2025 4:00 PM · 2 days 1 hr. (Europe/Berlin)
Foyer D-G - 2nd floor
Research Poster
AI Applications powered by HPC TechnologiesIndustrial Use Cases of HPC, ML and QCIntegration of Quantum Computing and HPCQuantum Computing - Use CasesSimulating Quantum Systems
Information
Poster is on display and will be presented at the poster pitch session.
Quantum machine learning (QML) is a research area that combines algorithms from quantum computing and machine learning into one functional system. This poster presents the results of an example of its successful use to recognize the gender of people by their faces. This recognition was performed using a learned hybrid quantum neural network that contains both neural layers implemented by a classical computer and neural layers implemented by the simulator of a quantum computer in which a variational quantum circuit (VQC) is programmed.
Quantum machine learning (QML) is a research area that combines algorithms from quantum computing and machine learning into one functional system. This poster presents the results of an example of its successful use to recognize the gender of people by their faces. This recognition was performed using a learned hybrid quantum neural network that contains both neural layers implemented by a classical computer and neural layers implemented by the simulator of a quantum computer in which a variational quantum circuit (VQC) is programmed.
Format
On DemandOn Site
