activity
20202023
most citedOn-the-Fly, Sample-Tailored Optimisation of NMR Experiments

5 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

quant-ph2023★ 1 cited

Quantum simulation of highly-oscillatory many-body Hamiltonians for near-term devices

Guannan Chen, Mohammadali Foroozandeh, Chris Budd +1

We develop a fourth-order Magnus expansion based quantum algorithm for the simulation of many-body problems involving two-level quantum systems with time-dependent Hamiltonians, $\…

math.OC2022

Accelerated Newton-Raphson GRAPE methods for optimal control

David L. Goodwin, Mads Sloth Vinding

A Hessian based optimal control method is presented in Liouville space to mitigate previously undesirable polynomial scaling of computation time. This new method, an improvement to…

quant-ph2022

Exact solutions for the time-evolution of quantum spin systems under arbitrary waveforms using algebraic graph theory

Pierre-Louis Giscard, Mohammadali Foroozandeh

A general approach is presented that offers exact analytical solutions for the time-evolution of quantum spin systems during parametric waveforms of arbitrary functions of time. Th…

eess.SY2021★ 5 cited

On-the-Fly, Sample-Tailored Optimisation of NMR Experiments

Jonathan R. J. Yong, Mohammadali Foroozandeh

NMR experiments, indispensable to chemists in many areas of research, are often run with generic, unoptimised experimental parameters. This approach makes robust and automated acqu…

quant-ph2020

Spin dynamics during chirped pulses: applications to homonuclear decoupling and broadband excitation

Mohammadali Foroozandeh

Swept-frequency pulses have found applications in a wide range of areas including spectroscopic techniques where efficient control of spins is required. For many of these applicati…

physics.comp-ph2020

Optimal Control of Spins by Analytical Lie Algebraic Derivatives

Mohammadali Foroozandeh, Pranav Singh

Computation of derivatives (gradient and Hessian) of a fidelity function is one of the most crucial steps in many optimization algorithms. Having access to accurate methods to calc…