activity
20192021
collaborators

9 papers

cs.OH2021

Optimal Seat Allocation Under Social Distancing Constraints

Michael Barry, Claudio Gambella, Fabio Lorenzi +2

The Covid-19 pandemic introduces new challenges and constraints for return to work business planning. We describe a space allocation problem that incorporates social distancing con…

quant-ph2020

Quantum Computing for Finance: State of the Art and Future Prospects

Daniel J. Egger, Claudio Gambella, Jakub Marecek +6

This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to qua…

quant-ph2020

Multi-block ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers

Claudio Gambella, Andrea Simonetto

Solving combinatorial optimization problems on current noisy quantum devices is currently being advocated for (and restricted to) binary polynomial optimization with equality const…

cs.CY2019

A city-scale IoT-enabled ridesharing platform

Claudio Gambella, Julien Monteil, Anton Dekusar +3

The advent of on-demand mobility systems is expected to have a tremendous potential on the wellness of transportation users in cities. Yet such positive effects are reached when th…

cs.LG2019

On model selection for scalable time series forecasting in transport networks

Julien Monteil, Anton Dekusar, Claudio Gambella +2

The transport literature is dense regarding short-term traffic predictions, up to the scale of 1 hour, yet less dense for long-term traffic predictions. The transport literature is…

math.OC2019

Projections onto the Set of Feasible Inputs and the Set of Feasible Solutions

Claudio Gambella, Jakub Marecek, Martin Mevissen

We study the projection onto the set of feasible inputs and the set of feasible solutions of a polynomial optimisation problem (POP). Our motivation is increasing the robustness of…