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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…
Purified phase estimation samples spectra efficiently
Stefano Scali, Josh Kirsopp, Antonio Márquez Romero +1
Quantum phase estimation (QPE) is a cornerstone algorithm for extracting Hamiltonian eigenvalues, but its standard, eigenstate-centric form relies on carefully prepared coherent in…
Study of nuclear magnetic resonance spectra with the multi-modal multi-level quantum complex exponential least squares algorithm
Antonio Marquez Romero, Josh J. M. Kirsopp, Giuseppe Buonaiuto +1
We present a novel application of the multi-modal, multi-level quantum complex exponential least squares (MM-QCELS) algorithm, a state-of-the-art, early fault-tolerant quantum phas…
A simple method for seniority-zero quantum state preparation
Michal Krompiec, Josh J. M. Kirsopp, Antonio Márquez Romero +1
Quantum Phase Estimation (QPE), the quantum algorithm for estimating eigenvalues of a given Hermitian matrix and preparing its eigenvectors, is considered the most promising approa…
Scaling Portfolio Diversification with Quantum Circuit Cutting Techniques
Vicente P. Soloviev, Antonio Márquez Romero, Josh Kirsopp +1
Quantum Approximate Optimization Algorithms (QAOA) have demonstrated a strong potential in addressing graph-based optimization problems. However, the execution of large-scale quant…