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20222026
most citedReducing Memory Requirements of Quantum Optimal Control

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2026

State constrained convex Nash equilibrium problems coupled with linear hyperbolic PDEs

Marcelo Bongarti, Michael Hintermüller

We study the existence of equilibria for state constrained, convex generalized Nash equilibrium problems (GNEPs) coupled with hyperbolic partial differential equations (PDEs). Anal…

math.OC2025

Structure versus regularity of set-valued maps in convex generalized Nash equilibrium problems in Banach spaces

Marcelo Bongarti, Michael Hintermüller

A generalized Nash equilibrium problem (GNEP) in Banach space consists of optimal control problems with couplings in both the objective functions and, most importantly, in th…

math.AP2024

Optimal Control of a Reaction-Diffusion Epidemic Model with Noncompliance

Marcelo Bongarti, Christian Parkinson, Weinan Wang

In this paper, we consider an optimal distributed control problem for a reaction-diffusion-based SIR epidemic model with human behavioral effects. We develop a model wherein non-ph…

math.OC2023

Optimal boundary control of the isothermal semilinear Euler equation for gas dynamics on a network

Marcelo Bongarti, Michael Hintermüller

The analysis and boundary optimal control of the nonlinear transport of gas on a network of pipelines is considered. The evolution of the gas distribution on a given pipe is modele…

quant-ph2022★ 1 cited

Reducing Memory Requirements of Quantum Optimal Control

Sri Hari Krishna Narayanan, Thomas Propson, Marcelo Bongarti +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…