Poster by A. Schiano di Colella at the Protein Folding in Real Time conference, Stockholm, 11 March 2026

Schematic representation of the architecture of a quantum circuit for application in variational problems. (Image by A. Schiano di Colella.)
Quantum computing for variational problems
Andrea Schiano di Colella, Antonio Ciarlo, Mats Granath, Giovanni Volpe
Date: 11 March 2026
Time: 18:00 – 20:00
Place: Aula Medica, Karolinska Institutet, Stockholm, Sweden
Conference: Protein Folding in Real Time

Quantum computing is a field of study that aims to exploit quantum mechanical effects for the purposes of computation. Due to the intrinsic capacity of qubits of efficiently represent an exponentially large configuration space, quantum computation has been identified as a promising candidate for complex physical chemistry simulations, including investigating the dynamics of protein folding. This work illustrates the use of quantum computing for variational problems, and the use of alternative training methods such as genetic algorithms to avoid the “barren plateau” phenomenon, which prevents the training of general quantum circuits by means of the usual gradient descent.