activity
20042022
most citedEntropy landscape and non-Gibbs solutions in constraint satisfaction problems

73 citations · 173 across the 18 of their papers we have counts for

collaborators

21 papers

cond-mat.dis-nn2022★ 3 cited

Quantum walk in a reinforced free-energy landscape: Quantum annealing with reinforcement

Abolfazl Ramezanpour

Providing an optimal path to a quantum annealing algorithm is key to finding good approximate solutions to computationally hard optimization problems. Reinforcement is one of the s…

physics.soc-ph2021

Entropy production of selfish drivers: Implications for efficiency and predictability of movements in a city

Indaco Biazzo, Mohsen Ghasemi Nezhadhaghighi, Abolfazl Ramezanpour

Characterizing the efficiency of movements is important for a better management of the cities. More specifically, the connection between the efficiency and uncertainty (entropy) pr…

quant-ph2019★ 4 cited

Noisy Toric code and random bond Ising model: The error threshold in a dual picture

Mohammad Hossein Zarei, Abolfazl Ramezanpour

It is known that noisy topological quantum codes are related to random bond Ising models where the order-disorder phase transition in the classical model is mapped to the error thr…

physics.soc-ph2019

Efficiency and irreversibility of movements in a city

Indaco Biazzo, Abolfazl Ramezanpour

We know that maximal efficiency in physical systems is attained by reversible processes. It is then interesting to see how irreversibility affects efficiency in other systems, e.g.…

cond-mat.dis-nn2018★ 8 cited

Enhancing the efficiency of quantum annealing via reinforcement: A path-integral Monte Carlo simulation of the quantum reinforcement algorithm

A. Ramezanpour

The standard quantum annealing algorithm tries to approach the ground state of a classical system by slowly decreasing the hopping rates of a quantum random walk in the configurati…

physics.bio-ph2018★ 2 cited

Statistical Physics of Medical Diagnostics: Study of a Probabilistic Model

Alireza Mashaghi, Abolfazl Ramezanpour

We study a diagnostic strategy which is based on the anticipation of the diagnostic process by simulation of the dynamical process starting from the initial findings. We show that…