activity
20172021
most citedReinforcement Learning assisted Quantum Optimization

71 citations · 105 across the 3 of their papers we have counts for

collaborators

5 papers

cond-mat.soft20218 cited

Pervasive orientational and directional locking at geometrically heterogeneous sliding interfaces

Xin Cao, Emanuele Panizon, Andrea Vanossi +3

Understanding the drift motion and dynamical locking of crystalline clusters on patterned substrates is important for the diffusion and manipulation of nano- and micro-scale object…

quant-ph202071 cited

Reinforcement Learning assisted Quantum Optimization

Matteo M. Wauters, Emanuele Panizon, Glen B. Mbeng +1

We propose a reinforcement learning (RL) scheme for feedback quantum control within the quan-tum approximate optimization algorithm (QAOA). QAOA requires a variational minimization…

cond-mat.stat-mech2018

Thermolubricity and the Jarzynski equality

Franco Pellegrini, Emanuele Panizon, Giuseppe Santoro +1

We discuss and qualify a previously unnoticed connection between two different phenomena in the physics of nanoscale friction, general in nature and also met in experiments includi…

cond-mat.mes-hall2018

Analytic understanding and control of dynamical friction

Emanuele Panizon, Giuseppe E. Santoro, Erio Tosatti +2

Recent model simulations discovered unexpected non-monotonic features in the wear-free dry phononic friction as a function of the sliding speed. Here we demonstrate that a rather s…

cond-mat.mes-hall201726 cited

Ballistic thermophoresis of adsorbates on free-standing graphene

Emanuele Panizon, Roberto Guerra, Erio Tosatti

The textbook thermophoretic force which acts on a body in a fluid is proportional to the local temperature gradient. The same is expected to hold for the macroscopic drift behavior…