5 citations · 5 across the 2 of their papers we have counts for
8 papers
Variational matrix product states for combinatorial optimization
Guillermo Preisser, Conor Mc Keever, Michael Lubasch
To compute approximate solutions for combinatorial optimization problems, we describe variational methods based on the product state (PS) and matrix product state (MPS) ansätze. W…
Digital quantum magnetism on a trapped-ion quantum computer
Reza Haghshenas, Eli Chertkov, Michael Mills +56
Digital quantum matter -- realized when discrete quantum gates approximate continuous time evolution -- is susceptible to heating into chaotic, structureless states. If digitizatio…
Scalable, self-verifying variational quantum eigensolver using adiabatic warm starts
Bojan ŽunkoviÄ, Marco Ballarin, Lewis Wright +1
We study an adiabatic variant of the variational quantum eigensolver (VQE) in which VQE is performed iteratively for a sequence of Hamiltonians along an adiabatic path. We derive t…
Quantum circuits for partial differential equations in Fourier space
Michael Lubasch, Yuta Kikuchi, Lewis Wright +1
For the solution of partial differential equations (PDEs), we show that the quantum Fourier transform (QFT) can enable the design of quantum circuits that are particularly simple,…
Efficient quantum state preparation of multivariate functions using tensor networks
Marco Ballarin, Juan José GarcÃa-Ripoll, David Hayes +1
For the preparation of high-dimensional functions on quantum computers, we introduce tensor network algorithms that are efficient with regard to dimensionality, optimize circuits c…
Filter-enhanced adiabatic quantum computing on a digital quantum processor
Erenay Karacan, Conor Mc Keever, Michael Foss-Feig +2
Eigenstate filters underpin near-optimal quantum algorithms for ground state preparation. Their realization on current quantum computers, however, poses a challenge as the filters…