Composable Programming of Hybrid Workflows for Quantum Simulation

TL;DR

This paper introduces a flexible, object-oriented framework for designing and implementing hybrid quantum/classical algorithms for quantum simulation, enabling dynamic customization and synthesis of complex workflows across different hardware platforms.

Contribution

It presents a novel composable design scheme and implements it in the QuaSiMo library using QCOR, facilitating the development of hybrid quantum algorithms.

Findings

Validated on IBM quantum processors with successful prototypical simulations

Demonstrated the utility of the framework for complex hybrid workflows

Showed the flexibility and extensibility of the design scheme

Abstract

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