13 citations · 34 across the 10 of their papers we have counts for
12 papers
Quantum-classical algorithm interpolation for spatial search
Diogo Ramos, Duarte Magano
Quantum-walk algorithms can quadratically reduce the dependence of spatial search on the classical hitting time . Realising this speedup using standard quantum-walk al…
Quantum algorithms for four problems in density peak clustering
Gonçalo Sousa, Duarte Magano
Clustering is a fundamental task in unsupervised learning. The goal is to partition unlabeled data into clusters such that similar elements are assigned to the same cluster, while…
Network-based prediction of drug combinations with quantum annealing
Diogo Ramos, Bruno Coutinho, Duarte Magano
The systematic discovery of effective drug combinations is a challenging problem in modern pharmacology, driven by the combinatorial growth of potential pairings and dosage configu…
Quantum Network-Based Prediction of Cancer Driver Genes
Patricia Marques, Andreas Wichert, Duarte Magano +1
Identification of cancer driver genes is fundamental for the development of targeted therapeutic interventions. The integration of mutational profiles with protein-protein interact…
Making the cut: two methods for breaking down a quantum algorithm
Miguel Murça, Duarte Magano, Yasser Omar
Despite the promise that fault-tolerant quantum computers can efficiently solve classically intractable problems, it remains a major challenge to find quantum algorithms that may r…
On the quantum simulation of complex networks
Duarte Magano, João Moutinho, Bruno Coutinho
Quantum walks provide a natural framework to approach graph problems with quantum computers, exhibiting speedups over their classical counterparts for tasks such as the search for…
On the complexity of quantum link prediction in complex networks
João P. Moutinho, Duarte Magano, Bruno Coutinho
Link prediction methods use patterns in known network data to infer which connections may be missing. Previous work has shown that continuous-time quantum walks can be used to repr…
Super-resolution of Green's functions on noisy quantum computers
Diogo Cruz, Duarte Magano
Quantum computers, using efficient Hamiltonian evolution routines, have the potential to simulate Green's functions of classically-intractable quantum systems. However, the decoher…
Quantum density peak clustering
Duarte Magano, Lorenzo Buffoni, Yasser Omar
Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein, with applications ranging f…
Simplifying a classical-quantum algorithm interpolation with quantum singular value transformations
Duarte Magano, Miguel Murça
The problem of Phase Estimation (or Amplitude Estimation) admits a quadratic quantum speedup. Wang, Higgott and Brierley [2019, Phys. Rev. Lett. 122 140504] have shown that there i…
Quantum computing for data analysis in high energy physics
Andrea Delgado, Kathleen E. Hamilton, Prasanna Date +22
Some of the biggest achievements of the modern era of particle physics, such as the discovery of the Higgs boson, have been made possible by the tremendous effort in building and o…
Flow Equations for Disordered Floquet Systems
S. J. Thomson, D. Magano, M. Schiró
In this work, we present a new approach to disordered, periodically driven (Floquet) quantum many-body systems based on flow equations. Specifically, we introduce a continuous unit…