3 papers
quant-ph2025
Sub-universal variational circuits for combinatorial optimization problems
Gal Weitz, Lirandë Pira, Chris Ferrie +1
Quantum variational circuits have gained significant attention due to their applications in the quantum approximate optimization algorithm and quantum machine learning research. Th…
quant-ph2024
Trainability Enhancement of Parameterized Quantum Circuits via Reduced-Domain Parameter Initialization
Yabo Wang, Bo Qi, Chris Ferrie +1
Parameterized quantum circuits (PQCs) have been widely used as a machine learning model to explore the potential of achieving quantum advantages for various tasks. However, trainin…
quant-ph2024
On the Interpretability of Quantum Neural Networks
Lirandë Pira, Chris Ferrie
Interpretability of artificial intelligence (AI) methods, particularly deep neural networks, is of great interest. This heightened focus stems from the widespread use of AI-backed…