33 citations · 65 across the 4 of their papers we have counts for
4 papers · 1 filter
Problem-aware sampling for bias and variance reduction in randomised Hamiltonian simulation
Brian Coyle, Jonathan H. Fetherolf, Antonio Márquez Romero +3
Randomised quantum simulation algorithms such as qDRIFT reduce circuit depth by replacing deterministic product formulas with stochastic compilations, but achieving high accuracy c…
OpenQARP: a modular framework for quantum application research
Stefano Scali, Vicente P. Soloviev, Antonio Márquez Romero +7
We introduce OpenQARP, the Open Quantum Application Research Package: an open-source Python framework for quantum application research, built on a compiled C++ core. In OpenQARP, a…
A unified quantum computing quantum Monte Carlo framework through structured state preparation
Giuseppe Buonaiuto, Antonio Marquez Romero, Brian Coyle +4
We extend Quantum Computing Quantum Monte Carlo (QCQMC) beyond ground-state energy estimation by systematically constructing the quantum circuits used for state preparation. Replac…
The extended Lipkin model: proposal for implementation in a quantum platform and machine learning analysis of its phase diagram
S. Baid, A. Sáiz, L. Lamata +5
We investigate the Extended Lipkin Model (ELM), whose phase diagram mirrors that of the Interacting Boson Approximation model (IBA). Unlike the standard Lipkin model, the ELM (as t…