From the 1 of 7 linked papers with an AI index.
7 papers
Efficient re-sampling in quasi-probability decompositions
Sara Santos, Stefan Woerner, Vincenzo Savona +1
Near-term quantum devices are limited by noise and hardware constraints, motivating algorithmic approaches that trade circuit complexity for increased sampling overhead. Quasi-prob…
Analytic gradients for low-rank quantum optimal control
Leo Goutte, Vincenzo Savona
The paper presents low-rank optimal control (LROC), a technique that exploits the dominance of a few pure states in open quantum systems to compute gradients for pulse optimization…
The true cost of factoring: Linking magic and number-theoretic complexity in Shor's algorithm
Alessio Paviglianiti, Matteo Seclì, Emanuele Tirrito +1
The execution cost of quantum algorithms is typically quantified through asymptotic gate counts and qubit register sizes, yet these metrics do not directly capture which genuinely…
Entanglement-assisted variational algorithm for discrete optimization problems
Lorenzo Fioroni, Vincenzo Savona
From fundamental sciences to economics and industry, discrete optimization problems are ubiquitous. Yet, their complexity often renders exact solutions intractable, necessitating t…
Low-rank optimal control of quantum devices
Leo Goutte, Vincenzo Savona
We demonstrate that the control protocols of quantum information devices can be simulated by assuming a low-rank ansatz for the density matrix. The rationale underlying this assump…
Neural Projected Quantum Dynamics: a systematic study
Luca Gravina, Vincenzo Savona, Filippo Vicentini
We investigate the challenge of classical simulation of unitary quantum dynamics with variational Monte Carlo approaches, addressing the instabilities and high computational demand…