collaborators

5 papers

quant-ph2026

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…

cs.ET2026

Scaling Sample-Based Quantum Diagonalization on GPU-Accelerated Systems using OpenMP Offload

Robert Walkup, Juha Jäykkä, Igor Pasichnyk +14

Hybrid quantum-HPC algorithms advance research by delegating complex tasks to quantum processors and using HPC systems to orchestrate workflows and complementary computations. Samp…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer

Javier Robledo-Moreno, Mario Motta, Holger Haas +14

A universal quantum computer can simulate diverse quantum systems, with electronic structure for chemistry offering challenging problems for practical use cases around the hundred-…