10 papers
Quantum circuit knitting using a weak-coupling approximation
John P. T. Stenger, Daniel Gunlycke, Nikos Chrisochoides
We present a method for performing distributed quantum computing with controlled approximations for circuits that are weakly coupled via a single qubit. Exact distributed quantum c…
Probability distribution analysis of the cascaded variational quantum eigensolver
Yi-Hua Lai, John P. T. Stenger, Gloria Bazargan +2
The cascaded variational quantum eigensolver (CVQE) circumvents the need for iterative communication between the quantum and classical processing units that is necessary in the con…
Ground-state energies of Ising models calculated using the samples from a quantum computer that simulates short-time evolution
John P. T. Stenger, C. Stephen Hellberg, Daniel Gunlycke
We find the ground-state energy of the Ising model using the Cascaded Variational Quantum Eigensolver (CVQE) algorithm with the Guided-Sampling Ansatz (GSA) using up to 63 qubits o…
Distributed Quantum-Enhanced Optimization: A Topographical Preconditioning Approach for High-Dimensional Search
Dominik Soós, Marc Paterno, John Stenger +1
Optimization problems become fundamentally challenging as the number of variables increases. Because the volume of the search space grows exponentially, classical algorithms freque…
Toward Quantum-Optimized Flow Scheduling in Multi-Beam Digital Satellites
Qiben Yan, John P. T. Stenger, Daniel Gunlycke
Data flow scheduling for high-throughput multibeam satellites is a challenging NP-hard combinatorial optimization problem. As the problem scales, traditional methods, such as Mixed…
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…
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…