278 citations · 2k across the 57 of their papers we have counts for
9 papers · 1 filter
Optimizing two-dimensional isometric tensor networks with quantum computers
Sebastian Leontica, Alberto Baiardi, Julian Schuhmacher +2
We propose a hybrid quantum-classical algorithm for approximating the ground state of two-dimensional quantum systems using an isometric tensor network ansatz, which maps naturally…
Large-scale implementation of quantum subspace expansion with classical shadows
Laurin E. Fischer, Daniel Bultrini, Ivano Tavernelli +1
Quantum subspace expansion (QSE) offers promising avenues to perform spectral calculations on quantum processors but comes with a large measurement overhead. Informationally comple…
Neutrino thermalization via randomization on a quantum processor
Oriel Kiss, Ivano Tavernelli, Francesco Tacchino +2
The dynamical evolution of neutrino flavor in supernovae can be modeled by an all-to-all spin Hamiltonian with random couplings. Simulating such two-local Hamiltonian dynamics rema…
Quantum chemistry with provable convergence via randomized sample-based Krylov quantum diagonalization
Samuele Piccinelli, Alberto Baiardi, Stefano Barison +12
Quantum algorithms based on classical processing of individual samples have recently emerged as a promising route to perform large-scale quantum-chemical calculations on pre-fault-…
Resource-Efficient Simulations of Particle Scattering on a Digital Quantum Computer
Yahui Chai, Joe Gibbs, Vincent R. Pascuzzi +4
We develop and demonstrate methods for simulating the scattering of particle wave packets in the interacting Thirring model on digital quantum computers, with hardware implementati…
Approximate quantum circuit compilation for proton-transfer kinetics on quantum processors
Arseny Kovyrshin, Dilhan Manawadu, Edoardo Altamura +15
Proton transfer reactions are fundamental to many chemical and biological systems, where quantum effects such as tunneling, delocalization, and zero-point motion play key kinetic c…
Gradient Scalability and Taylor Surrogation of Quantum Cost Landscapes
Sabri Meyer, Francesco Scala, Francesco Tacchino +1
Variational Quantum Algorithms are promising candidates for near-term quantum computing, yet they face scalability challenges due to barren plateaus, where gradients vanish exponen…
A circuit-differentiation framework for Green's functions on quantum computers
Samuele Piccinelli, Francesco Tacchino, Ivano Tavernelli +1
We propose a general framework for computing Retarded Green's Functions (RGFs) on quantum computers by recasting their evaluation as a problem of circuit differentiation. Our propo…
Towards Practical Quantum Neural Network Diagnostics with Neural Tangent Kernels
Francesco Scala, Christa Zoufal, Dario Gerace +1
Knowing whether a Quantum Machine Learning model would perform well on a given dataset before training it can help to save critical resources. However, gathering a priori informati…