482 citations
- National University of SingaporeSG66 papers
- Centre for Quantum TechnologiesSG65 papers
- National Technical University of AthensGR19 papers
- Foundation for Research and Technology HellasGR13 papers
- University of CreteGR12 papers
- University of OxfordGB8 papers
- Université Bourgogne Franche-ComtéFR7 papers
- University of California San DiegoUS7 papers
- University of Pavol Jozef ŠafárikSK6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Jagiellonian UniversityPL5 papers
- Nanyang Technological UniversitySG5 papers
8 papers · 1 filter
Efficient and Scalable Approach to Equilibrium Conditional Simulation of Gibbs Markov Random Fields
Milan Žukovič, Dionissios T. Hristopulos
We study the performance of an automated hybrid Monte Carlo (HMC) approach for conditional simulation of a recently proposed, single-parameter Gibbs Markov random field (Gibbs MRF)…
Dirac equation on a square waveguide lattice with site-dependent coupling strengths and the gravitational Aharonov-Bohm effect
Christian Koke, Changsuk Noh, Dimitris G. Angelakis
The main objective of this work is to present a theoretical proposal for an implementation of the -dimensional Dirac equation in classical gravitational and electromagneti…
Inference-Based Resource Allocation for Multi-Cell Backscatter Sensor Networks
Panos N. Alevizos, Aggelos Bletsas
This work studies inference-based resource allocation in ultra low-power, large-scale backscatter sensor networks (BSNs). Several ultra-low cost and power sensor devices (tags) are…
Quantum state transfer via acoustic edge states in a 2D optomechanical array
Marc-Antoine Lemonde, Vittorio Peano, Peter Rabl +1
We propose a novel hybrid platform where solid-state spin qubits are coupled to the acoustic modes of a two-dimensional array of optomechanical nano cavities. Previous studies of c…
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles
Konstantinos Makantasis, Maria Kontorinaki, Ioannis Nikolos
In this work the problem of path planning for an autonomous vehicle that moves on a freeway is considered. The most common approaches that are used to address this problem are base…
Common Mode Patterns for Supervised Tensor Subspace Learning
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis +1
In this work we propose a method for reducing the dimensionality of tensor objects in a binary classification framework. The proposed Common Mode Patterns method takes into conside…