5 citations · 6 across the 8 of their papers we have counts for
9 papers
No-Regret Gaussian Process Optimization of Time-Varying Functions
Eliabelle Mauduit, Eloïse Berthier, Andrea Simonetto
Sequential optimization of black-box functions from noisy evaluations has been widely studied, with Gaussian Process bandit algorithms such as GP-UCB guaranteeing no-regret in stat…
Time-varying Gaussian Process Bandit Optimization with Experts: no-regret in logarithmically-many side queries
Eliabelle Mauduit, Eloïse Berthier, Andrea Simonetto
We study a time-varying Bayesian optimization problem with bandit feedback, where the reward function belongs to a Reproducing Kernel Hilbert Space (RKHS). We approach the problem…
Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization
Ugo Nzongani, Dylan Laplace Mermoud, Giuseppe Di Molfetta +1
We introduce SamBa-GQW, a novel quantum algorithm for solving binary combinatorial optimization problems of arbitrary degree with no use of any classical optimizer. The algorithm i…
Variational quantum algorithms for permutation-based combinatorial problems: Optimal ansatz generation with applications to quadratic assignment problems and beyond
Dylan Laplace Mermoud, Andrea Simonetto, Sourour Elloumi
We present a quantum variational algorithm based on a novel circuit that generates all permutations that can be spanned by one- and two-qubits permutation gates. The construction o…
Non-unitary enhanced transfer efficiency in quantum walk search on complex networks
Ugo Nzongani, Andrea Simonetto, Giuseppe Di Molfetta
The task of finding an element in an unstructured database is known as spatial search and can be expressed as a quantum walk evolution on a graph. In this article, we modify the us…
Efficient Quantum Circuits for Non-Unitary and Unitary Diagonal Operators with Space-Time-Accuracy trade-offs
Julien Zylberman, Ugo Nzongani, Andrea Simonetto +1
Unitary and non-unitary diagonal operators are fundamental building blocks in quantum algorithms with applications in the resolution of partial differential equations, Hamiltonian…
Flexible Optimization for Cyber-Physical and Human Systems
Andrea Simonetto
Can we allow humans to pick among different, yet reasonably similar, decisions? Are we able to construct optimization problems whose outcome are sets of feasible, close-to-optimal…
Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts
Eliabelle Mauduit, Andrea Simonetto
Motivated by extracting and summarizing relevant information in short sentence settings, such as satisfaction questionnaires, hotel reviews, and X/Twitter, we study the problem of…
Renewable-Based Charging in Green Ride-Sharing
Elisabetta Perotti, Ana M. Ospina, Gianluca Bianchin +2
Governments, regulatory bodies, and manufacturers are proposing plans to accelerate the adoption of electric vehicles (EVs), with the goal of reducing the impact of greenhouse gase…