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- Marco Gherardi, Salvatore Mandrà, Bruno Bassetti, Marco Cosentino Lagomarsino
- Proceedings of the National Academy of Sciences…
- 2013

The development of a complex system depends on the self-coordinated action of a large number of agents, often determining unexpected global behavior. The case of software evolution has great practical importance: knowledge of what is to be considered atypical can guide developers in recognizing and reacting to abnormal behavior. Although the initial… (More)

- Salvatore Mandrà, Zheng Zhu, Helmut G Katzgraber
- Physical review letters
- 2017

We study the performance of the D-Wave 2X quantum annealing machine on systems with well-controlled ground-state degeneracy. While obtaining the ground state of a spin-glass benchmark instance represents a difficult task, the gold standard for any optimization algorithm or machine is to sample all solutions that minimize the Hamiltonian with more or less… (More)

- Salvatore Mandrà, Joshua Schrier, Michele Ceotto
- The journal of physical chemistry. A
- 2014

Graphene is impermeable to gases, but introducing subnanometer pores can allow for selective gas separation. Because graphene is only one atom thick, tunneling can play an important role, especially for low-mass gases such as helium, and this has been proposed as a means of separating (3)He from (4)He. In this paper, we consider the possibility of utilizing… (More)

- Wenlong Wang, Salvatore Mandrà, Helmut G Katzgraber
- Physical review. E
- 2017

We introduce an algorithm to generate (not solve) spin-glass instances with planted solutions of arbitrary size and structure. First, a set of small problem patches with open boundaries is solved either exactly or with a heuristic, and then the individual patches are stitched together to create a large problem with a known planted solution. Because in these… (More)

- Federico Bassetti, Marco Cosentino Lagomarsino, Salvatore Mandrà
- Internet Mathematics
- 2007

We introduce and study a class of exchangeable random graph ensembles. They can be used as statistical null models for empirical networks, and as a tool for theoretical investigations. We provide general theorems that characterize the degree distribution of the ensemble graphs, together with some features that are important for applications, such as… (More)

- Salvatore Mandrà, Santo Fortunato, Claudio Castellano
- Physical review. E, Statistical, nonlinear, and…
- 2009

We study the coevolution of a generalized Glauber dynamics for Ising spins with tunable threshold and of the graph topology where the dynamics takes place. This simple coevolution dynamics generates a rich phase diagram in the space of the two parameters of the model, the threshold and the rewiring probability. The diagram displays phase transitions of… (More)

- Salvatore Mandrà, Marco Cosentino Lagomarsino, Marco Gherardi
- Physical review. E, Statistical, nonlinear, and…
- 2014

Constraints can affect dramatically the behavior of diffusion processes. Recently, we analyzed a natural and a technological system and reported that they perform diffusion-like discrete steps displaying a peculiar constraint, whereby the increments of the diffusing variable are subject to configuration-dependent bounds. This work explores theoretically… (More)

1Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, 20133 Milano, Italy 2Istituto Nazionale di Fisica Nucleare, Sezione di Milano, via Celoria 16, 20133 Milano, Italy 3Genomic Physics Group, UMR 7238 associée au Centre National de la Recherche Scientifique, “Microorganism Genomics,” 15 rue de l’École de Médecine, 75006 Paris, France… (More)

We present an exact quantum algorithm for solving the Exact Satisfiability problem, which is known to belong to the important NP-complete complexity class. The algorithm is based on an intuitive approach that can be divided into two parts: The first step consists in the identification and efficient characterization of a restricted subspace that contains all… (More)

- Rupak Biswas, Zhang Jiang, +10 authors Zhihui Wang
- Parallel Computing
- 2017