21 citations · 32 across the 3 of their papers we have counts for
3 papers
Numerical evidence against advantage with quantum fidelity kernels on classical data
Lucas Slattery, Ruslan Shaydulin, Shouvanik Chakrabarti +3
Quantum machine learning techniques are commonly considered one of the most promising candidates for demonstrating practical quantum advantage. In particular, quantum kernel method…
Quantum Circuits For Two-Dimensional Isometric Tensor Networks
Lucas Slattery, Bryan K. Clark
The variational quantum eigensolver (VQE) combines classical and quantum resources in order simulate classically intractable quantum states. Amongst other variables, successful VQE…
Unitary Block Optimization for Variational Quantum Algorithms
Lucas Slattery, Benjamin Villalonga, Bryan K. Clark
Variational quantum algorithms are a promising hybrid framework for solving chemistry and physics problems with broad applicability to optimization as well. They are particularly w…