6 citations · 10 across the 3 of their papers we have counts for
10 papers
Sample-based quantum diagonalization as parallel fragment solver for the localized active space self-consistent field method
Qiaohong Wang, Mario Motta, Ruhee D'Cunha +7
Accurately and efficiently describing strongly correlated electronic systems is a central challenge in quantum computational chemistry, with classical and quantum computers. The lo…
Closed-loop calculations of electronic structure on a quantum processor and a classical supercomputer at full scale
Tomonori Shirakawa, Javier Robledo-Moreno, Toshinari Itoko +18
Quantum computers must operate in concert with classical computers to deliver on the promise of quantum advantage for practical problems. To achieve that, it is important to unders…
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 the most effective and robust methods to approximate ground-state wave functions of…
Symmetry-guided quantum state preparation: Branched-Subspaces Adiabatic Preparation (B-SAP)
Davide Cugini, Giacomo Guarnieri, Mario Motta +1
Quantum state preparation lies at the heart of quantum computation and quantum simulations, enabling the investigation of complex manybody systems across physics, chemistry, and da…
Non-equilibrium thermodynamics of precision through a quantum-centric computation
Mario Motta, Antonio Mezzacapo, Giacomo Guarnieri
Thermodynamic uncertainty relations (TURs) are a set of inequalities expressing a fundamental trade-off between precision and dissipation in non-equilibrium classical and quantum t…
Enhancing the accuracy and efficiency of sample-based quantum diagonalization with phaseless auxiliary-field quantum Monte Carlo
Don Danilov, Javier Robledo-Moreno, Kevin J. Sung +2
Quantum Selected Configuration Interaction (QSCI) and an extended protocol known as Sample-based Quantum Diagonalization (SQD) have emerged as promising algorithms to solve the ele…