Problem
Research questions and friction points this paper is trying to address.
Quantum-HPC
hybrid workflow
multiple quantum platforms
supercomputing
Quantum-HPC Workflows Across Multiple Quantum Computing Platforms: Two Case Studies
🤖 AI Summary
This study addresses the challenge of integrating cross-platform hybrid quantum-HPC workflows by constructing a collaborative computing system comprising the Fugaku supercomputer, Quantinuum Reimei and ibm_kobe quantum processors, and the Tierkreis software framework. Through efficient classical-quantum task partitioning, the authors innovatively combine the Variational Quantum Eigensolver (VQE) and Quantum Phase Estimation (QPE) algorithms to design a multi-platform cooperative workflow. The proposed system successfully executes ground-state and excited-state energy calculations for biomolecules, validating its feasibility and accuracy on real quantum hardware. Ultimately, this work establishes a scalable hybrid architecture paradigm for large-scale quantum chemistry simulations.
📝 Abstract
We describe the Quantum-HPC hybrid system comprising the supercomputer Fugaku, the QPUs Quantinuum Reimei and ibm_kobe, and the Tierkreis hybrid workflow software. We present two demonstrations of the system at work. In the first, we compute the excited states of a biomolecular system using Fugaku and Reimei (simulator) to handle classical and quantum parts of the workflow respectively. In the second, Fugaku coordinates Reimei and ibm_kobe working together in a combined VQE + QPE workflow to compute the ground state energy of a simple system.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Quantum-HPC hybrid system
heterogeneous QPU coordination
hybrid workflow software
VQE-QPE combined workflow
cross-platform quantum computing
🔎 Similar Papers
No similar papers found.
