activity
20182020
most citedReinforcement Learning assisted Quantum Optimization

71 citations · 82 across the 2 of their papers we have counts for

collaborators

9 papers

quant-ph2020

Multi-spin counter-diabatic driving in many-body quantum Otto refrigerators

Andreas Hartmann, Victor Mukherjee, Glen Bigan Mbeng +2

Quantum refrigerators pump heat from a cold to a hot reservoir. In the few-particle regime, counter-diabatic (CD) driving of, originally adiabatic, work-exchange strokes is a promi…

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…

quant-ph2020

Polynomial scaling of QAOA for ground-state preparation of the fully-connected p-spin ferromagnet

Matteo M. Wauters, Glen Bigan Mbeng, Giuseppe E. Santoro

We show that the quantum approximate optimization algorithm (QAOA) can construct with polynomially scaling resources the ground state of the fully-connected p-spin Ising ferromagne…

quant-ph201911 cited

Optimal quantum control with digitized Quantum Annealing

Glen Bigan Mbeng, Rosario Fazio, Giuseppe E. Santoro

We show how a digitized version of Quantum Annealing can be made optimal, realizing the best possible solution allowed by quantum mechanics in the shortest time, without any prior…

cond-mat.stat-mech2019

Optimal working point in digitized quantum annealing

Glen Bigan Mbeng, Luca Arceci, Giuseppe E. Santoro

We present a study of the digitized Quantum Annealing protocol proposed by R. Barends et al., Nature 534, 222 (2016). Our analysis, performed on the benchmark case of a transverse…

quant-ph2019

Quantum Annealing: a journey through Digitalization, Control, and hybrid Quantum Variational schemes

Glen Bigan Mbeng, Rosario Fazio, Giuseppe Santoro

We establish and discuss a number of connections between a digitized version of Quantum Annealing (QA) with the Quantum Approximate Optimization Algorithm (QAOA) introduced by Farh…