activity
20202022
most citedMemory-Efficient Differentiable Programming for Quantum Optimal Control of Discrete Lattices

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

quant-ph20221 cited

Memory-Efficient Differentiable Programming for Quantum Optimal Control of Discrete Lattices

Xian Wang, Paul Kairys, Sri Hari Krishna Narayanan +2

Quantum optimal control problems are typically solved by gradient-based algorithms such as GRAPE, which suffer from exponential growth in storage with increasing number of qubits a…

quant-ph2022

String order melting of spin-1 particle chains in superconducting transmons using optimal control

Paul Kairys, Travis S. Humble

Utilizing optimal control to simulate a model Hamiltonian is an emerging strategy that leverages the intrinsic physics of a device with digital quantum simulation methods. Here we…

quant-ph2021

Efficient Quantum Gate Discovery with Optimal Control

Paul Kairys, Travis S. Humble

Optimal control theory provides a framework for numerical discovery of device controls that implement quantum logic gates, but common objective functions used for optimization ofte…

quant-ph2021

Parameterized Hamiltonian simulation using quantum optimal control

Paul Kairys, Travis S. Humble

Analog quantum simulation offers a hardware-specific approach to studying quantum dynamics, but mapping a model Hamiltonian onto the available device parameters requires matching t…

quant-ph2020

Simulating the Shastry-Sutherland Ising Model using Quantum Annealing

Paul Kairys, Andrew D. King, Isil Ozfidan +4

Frustration represents an essential feature in the behavior of magnetic materials when constraints on the microscopic Hamiltonian cannot be satisfied simultaneously. This gives ris…