13 papers
Scalable 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. Exact distributed quantum computing requires exponential classical information to r…
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…
Quantum Data Loading for Carleman Linearized Systems: Application to the Lattice-Boltzmann Equation
Reuben Demirdjian, Thomas Hogancamp, Abeynaya Gnanasekaran +2
Nonlinear ordinary and partial differential equations are ubiquitous in science and engineering, yet finding their solutions is often computationally intractable for classical hard…
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…
Auto-regressive Neural Quantum State Sampling for Selected Configuration Interaction
Shane Thompson, Daniel Gunlycke
Accurate ground-state energy calculations remain a central challenge in quantum chemistry due to the exponential scaling of the many-body Hilbert space. Variational Monte Carlo and…