QuaSiMo: A composable library to program hybrid workflows for quantum simulation

Thien Nguyen, Lindsay Bassman, Phillip C. Lotshaw, Dmitry Lyakh, Alexander McCaskey, Vicente Leyton-Ortega, Raphael Pooser, Wael Elwasif, Travis S. Humble, Wibe A. de Jong

Research output: Contribution to journalArticlepeer-review

Abstract

A composable design scheme is presented for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. The proposed object-oriented approach is based on constructing an expressive set of common data structures and methods that enables programming of a broad variety of complex hybrid quantum simulation applications. The abstract core of the scheme is distilled from the analysis of the current quantum simulation algorithms. Subsequently, it allows synthesis of new hybrid algorithms and workflows via the extension, specialisation, and dynamic customisation of the abstract core classes defined by the proposed design. The design scheme is implemented using the hardware-agnostic programming language QCOR into the QuaSiMo library. To validate the implementation, the authors test and show its utility on commercial quantum processors from IBM and Rigetti, running some prototypical quantum simulations.

Original languageEnglish
Pages (from-to)160-170
Number of pages11
JournalIET Quantum Communication
Volume2
Issue number4
DOIs
StatePublished - Dec 2021

Funding

This work was supported by the U.S. Department of Energy (DOE) Office of Science Advanced Scientific Computing Research program office Accelerated Research for Quantum Computing program. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.

Keywords

  • quantum computing
  • quantum information

Fingerprint

Dive into the research topics of 'QuaSiMo: A composable library to program hybrid workflows for quantum simulation'. Together they form a unique fingerprint.

Cite this