84 citations · 273 across the 11 of their papers we have counts for
11 papers · 1 filter
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. We…
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,…
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…
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…
Nonlinear dynamics as a ground-state solution on quantum computers
Albert J. Pool, Alejandro D. Somoza, Conor Mc Keever +2
For the solution of time-dependent nonlinear differential equations, we present variational quantum algorithms (VQAs) that encode both space and time in qubit registers. The spacet…
Noisy intermediate-scale quantum simulation of the one-dimensional wave equation
Lewis Wright, Conor Mc Keever, Jeremy T. First +5
We design and implement quantum circuits for the simulation of the one-dimensional wave equation on the Quantinuum H1-1 quantum computer. The circuit depth of our approach scales a…
Towards adiabatic quantum computing using compressed quantum circuits
Conor Mc Keever, Michael Lubasch
We describe tensor network algorithms to optimize quantum circuits for adiabatic quantum computing. To suppress diabatic transitions, we include counterdiabatic driving in the opti…
A Modular Engine for Quantum Monte Carlo Integration
Ismail Yunus Akhalwaya, Adam Connolly, Roland Guichard +8
We present the Quantum Monte Carlo Integration (QMCI) engine developed by Quantinuum. It is a quantum computational tool for evaluating multi-dimensional integrals that arise in va…
Realization of quantum signal processing on a noisy quantum computer
Yuta Kikuchi, Conor Mc Keever, Luuk Coopmans +2
Quantum signal processing (QSP) is a powerful toolbox for the design of quantum algorithms and can lead to asymptotically optimal computational costs. Its realization on noisy quan…
Classically optimized Hamiltonian simulation
Conor Mc Keever, Michael Lubasch
Hamiltonian simulation is a promising application for quantum computers to achieve a quantum advantage. We present classical algorithms based on tensor network methods to optimize…
Dynamics of two-dimensional open quantum lattice models with tensor networks
Conor Mc Keever, Marzena H. Szymańska
Being able to describe accurately the dynamics and steady-states of driven and/or dissipative but quantum correlated lattice models is of fundamental importance in many areas of sc…