23 citations · 25 across the 12 of their papers we have counts for
6 papers · 1 filter
Hybrid VQE-CVQE algorithm using diabatic state preparation
John P. T. Stenger, C. Stephen Hellberg, Daniel Gunlycke
We propose a hybrid variational quantum algorithm that has variational parameters used by both the quantum circuit and the subsequent classical optimization. Similar to the Variati…
Guided sampling ansätzes for variational quantum computing
Daniel Gunlycke, John P. T. Stenger, Andrii Maksymov +3
Quantum computing is a promising technology because of the ability of quantum computers to process vector spaces with dimensions that increase exponentially with the simulated syst…
Solving Large-Scale Vehicle Routing Problems with Hybrid Quantum-Classical Decomposition
Andrew Maciejunes, John Stenger, Dan Gunlycke +1
We present a two-level decomposition strategy for solving the Vehicle Routing Problem (VRP) using the Quantum Approximate Optimization Algorithm. A Problem-Level Decomposition part…
An Efficient Decomposition of the Carleman Linearized Burgers' Equation
Reuben Demirdjian, Thomas Hogancamp, Daniel Gunlycke
Herein, we present a polylogarithmic decomposition method to load the matrix from the linearized 1-dimensional Burgers' equation onto a quantum computer. First, we use the Carleman…
QGeo: A Python package for calculating geodesic control functions for quantum computing
Sean T. Crowe, Joshua J. Leiter, John P. T. Stenger +5
We present a new Python package that uses the established notion of geometric quantum complexity to numerically compute the difficulty associated with preparing a given unitary tra…
Method for simulating open-system dynamics using mid-circuit measurements on a quantum computer
John P. T. Stenger, Gloria Bazargan, Nicholas T. Bronn +1
We present a method for simulating the dynamics of an open electronic system on a quantum computer. This approach entails mid-circuit measurements and resets to simulate the additi…