collaborators

6 papers

quant-ph2026

(Non-)Traversable Quantum Phase Transitions

Federico Balducci, Paul M. Schindler, Andrea Solfanelli +1

Quantum phase transitions manifest as an abrupt change in the ground state of a many-body system; yet it is an open question whether this sudden change necessarily precludes a cont…

quant-ph2026

Protecting Quantum Simulations of Lattice Gauge Theories through Engineered Emergent Hierarchical Symmetries

Zhanpeng Fu, Wei Zheng, Roderich Moessner +2

We present a strategy for the quantum simulation of many-body lattice models with constrained Hilbert spaces. We focus on lattice gauge theories (LGTs), which underlie a wide range…

quant-ph2026

Reinforcement Learning for Quantum Technology

Marin Bukov, Florian Marquardt

Many challenges arising in Quantum Technology can be successfully addressed using a set of machine learning algorithms collectively known as reinforcement learning (RL), based on a…

quant-ph2025

Taming quantum systems: A tutorial for using shortcuts-to-adiabaticity, quantum optimal control, and reinforcement learning

Callum W. Duncan, Pablo M. Poggi, Marin Bukov +2

Precise manipulation of quantum effects at the atomic and nanoscale has become an essential task in ongoing scientific and technological endeavours. Quantum control methods are thu…

quant-ph2025

Topological Phase Transitions in a Constrained Two-Qubit Quantum Control Landscape

Nicolò Beato, Pranay Patil, Marin Bukov

In optimal quantum control, control landscape phase transitions (CLPTs) indicate sharp changes occurring in the set of optimal protocols, as a physical model parameter is varied. H…

quant-ph2025

Toward a Theory of Phase Transitions in Quantum Control Landscapes

Nicolò Beato, Pranay Patil, Marin Bukov

Control landscape phase transitions (CLPTs) occur as abrupt changes in the cost function landscape upon varying a control parameter, and can be revealed by non-analytic points in s…