7 papers
Practical advantage beyond the quadratic speedup limit with fully-quantum walks
Massimiliano Incudini, Guglielmo Mazzola
We introduce a new class of fully-quantum Metropolis walks in which both the proposal and acceptance steps are intrinsically quantum. Unlike standard quantum walks obtained by quan…
Hybrid Method of Efficient Simulation of Physics Applications for a Quantum Computer
Carla Rieger, Albert T. Schmitz, Gehad Salem +5
Quantum chemistry and materials science are among the most promising areas for demonstrating algorithmic quantum advantage and quantum utility due to their inherent quantum mechani…
Testing the presence of balanced and bipartite components in a sparse graph is QMA1-hard
Massimiliano Incudini, Casper Gyurik, Riccardo Molteni +1
Determining whether an abstract simplicial complex, a discrete object often approximating a manifold, contains multi-dimensional holes is a task deeply connected to quantum mechani…
Higher-order topological kernels via quantum computation
Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro
Topological data analysis (TDA) has emerged as a powerful tool for extracting meaningful insights from complex data. TDA enhances the analysis of objects by embedding them into a s…
Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
Michele Grossi, Massimiliano Incudini, Mathieu Pellen +1
Extracting longitudinal modes of weak bosons in LHC processes is essential to understand the electroweak-symmetry-breaking mechanism. To that end, we propose a general method, base…
Resource Saving via Ensemble Techniques for Quantum Neural Networks
Massimiliano Incudini, Michele Grossi, Andrea Ceschini +4
Quantum neural networks hold significant promise for numerous applications, particularly as they can be executed on the current generation of quantum hardware. However, due to limi…