7 citations · 7 across the 5 of their papers we have counts for
6 papers
Distributed Quantum Computing via Adaptive Circuit Knitting
K. Grace Johnson, Aniello Esposito, Gaurav Gyawali +5
Distributing quantum workloads over many Quantum Processing Units (QPUs) is a crucial step in scaling up quantum computers toward practical quantum advantage due to the limitations…
A Full Stack Framework for High Performance Quantum-Classical Computing
Xin Zhan, K. Grace Johnson, Aniello Esposito +5
To address the growing needs for scalable High Performance Computing (HPC) and Quantum Computing (QC) integration, we present our HPC-QC full stack framework and its hybrid workloa…
SLURM Heterogeneous Jobs for Hybrid Classical-Quantum Workflows
Aniello Esposito, Utz-Uwe Haus
A method for efficient scheduling of hybrid classical-quantum workflows is presented, based on standard tools available on common supercomputer systems. Moderate interventions by t…
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
Masoud Mohseni, Artur Scherer, K. Grace Johnson +48
In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become po…
Hybrid Classical-Quantum Simulation of MaxCut using QAOA-in-QAOA
Aniello Esposito, Tamuz Danzig
The Quantum approximate optimization algorithm (QAOA) is a leading hybrid classical-quantum algorithm for solving complex combinatorial optimization problems. QAOA-in-QAOA (QAOA^2)…
A Hybrid Classical-Quantum HPC Workload
Aniello Esposito, Sebastien Cabaniols, Jessica R. Jones +1
A strategy for the orchestration of hybrid classical-quantum workloads on supercomputers featuring quantum devices is proposed. The method makes use of heterogeneous job launches w…