378 citations · 3.4k across the 62 of their papers we have counts for
63 papers
Solving The Vehicle Routing Problem via Quantum Support Vector Machines
Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie
The Vehicle Routing Problem (VRP) is an example of a combinatorial optimization problem that has attracted academic attention due to its potential use in various contexts. VRP aims…
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…
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…
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…
An Invitation to Distributed Quantum Neural Networks
Lirandë Pira, Chris Ferrie
Deep neural networks have established themselves as one of the most promising machine learning techniques. Training such models at large scales is often parallelized, giving rise t…
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows
Afrad Basheer, Yuan Feng, Christopher Ferrie +1
Variational quantum algorithms (VQAs) are the quantum analog of classical neural networks (NNs). A VQA consists of a parameterized quantum circuit (PQC) which is composed of multip…