A Cross-Platform Execution Engine for the Quantum Intermediate Representation

• URL: http://arxiv.org/abs/2404.14299v1
• Date: Mon, 22 Apr 2024 15:59:41 GMT
• Title: A Cross-Platform Execution Engine for the Quantum Intermediate Representation
• Authors: Elaine Wong, Vicente Leyton Ortega, Daniel Claudino, Seth Johnson, Sharmin Afrose, Meenambika Gowrishankar, Anthony M. Cabrera, Travis S. Humble,
• Abstract summary: We describe and demonstrate the QIR Execution Engine (QIR-EE) for parsing, interpreting, and executing QIR across multiple hardware platforms. We demonstrate an implementation that uses the XACC quantum hardware-accelerator library to dispatch quantum programs on different commercial quantum platforms and numerical simulators.
• Score: 1.4078224649226623
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Hybrid languages like the Quantum Intermediate Representation (QIR) are essential for programming systems that mix quantum and conventional computing models, while execution of these programs is often deferred to a system-specific implementation. Here, we describe and demonstrate the QIR Execution Engine (QIR-EE) for parsing, interpreting, and executing QIR across multiple hardware platforms. QIR-EE uses LLVM to execute hybrid instructions specifying quantum programs and, by design, presents extension points that support customized runtime and hardware environments. We demonstrate an implementation that uses the XACC quantum hardware-accelerator library to dispatch prototypical quantum programs on different commercial quantum platforms and numerical simulators, and we validate execution of QIR-EE on the IonQ Harmony and Quantinuum H1-1 hardware. Our results highlight the efficiency of hybrid executable architectures for handling mixed instructions, managing mixed data, and integrating with quantum computing frameworks to realize cross-platform execution.

Related papers

• NetQIR: An Extension of QIR for Distributed Quantum Computing [2.924756839755417]
  NetQIR is an extension of Microsoft's Quantum Intermediate Representation (QIR) It was developed in response to the lack of abstraction at the network and hardware layers. It aims to bridge the gap between high-level quantum algorithm design and low-level hardware execution.
  arXiv  Detail & Related papers  (2024-08-07T12:01:47Z)
• Benchmarking Quantum Computer Simulation Software Packages: State Vector Simulators [0.0]
  We benchmark several software packages capable of simulating quantum dynamics with a special focus on HPC capabilities. We develop a containerized toolchain for benchmarking a large set of simulation packages on a local HPC cluster using different parallelisation capabilities. Our results can help finding the right package for a given simulation task and lay the foundation for a systematic community effort to benchmark and validate upcoming versions of existing and also newly developed simulation packages.
  arXiv  Detail & Related papers  (2024-01-17T09:34:28Z)
• InQuIR: Intermediate Representation for Interconnected Quantum Computers [0.0]
  InQuIR is a representation that can express communication and computation on distributed quantum systems. We give examples written in InQuIR to illustrate the problems arising in distributed programs, such as deadlock. We also provide software tools for InQuIR and evaluate the computational costs of quantum circuits.
  arXiv  Detail & Related papers  (2023-02-01T06:19:23Z)
• QParallel: Explicit Parallelism for Programming Quantum Computers [62.10004571940546]
  We present a language extension for parallel quantum programming. QParallel removes ambiguities concerning parallelism in current quantum programming languages. We introduce a tool that guides programmers in the placement of parallel regions by identifying the subroutines that profit most from parallelization.
  arXiv  Detail & Related papers  (2022-10-07T16:35:16Z)
• Enabling Retargetable Optimizing Compilers for Quantum Accelerators via a Multi-Level Intermediate Representation [78.8942067357231]
  We present a multi-level quantum-classical intermediate representation (IR) that enables an optimizing, retargetable, ahead-of-time compiler. We support the entire gate-based OpenQASM 3 language and provide custom extensions for common quantum programming patterns and improved syntax. Our work results in compile times that are 1000x faster than standard Pythonic approaches, and 5-10x faster than comparative standalone quantum language compilers.
  arXiv  Detail & Related papers  (2021-09-01T17:29:47Z)
• QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation [48.341084094844746]
  We present a composable design scheme for the development of hybrid quantum/classical algorithms and for applications of quantum simulation. We implement our design scheme using the hardware-agnostic programming language QCOR into the QuaSiMo library.
  arXiv  Detail & Related papers  (2021-05-17T16:17:57Z)
• Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale [57.84751206630535]
  We present a modernized version of the Quantum Virtual Machine (TNQVM) which serves as a quantum circuit simulation backend in the e-scale ACCelerator (XACC) framework. The new version is based on the general purpose, scalable network processing library, ExaTN, and provides multiple quantum circuit simulators. By combining the portable XACC quantum processors and the scalable ExaTN backend we introduce an end-to-end virtual development environment which can scale from laptops to future exascale platforms.
  arXiv  Detail & Related papers  (2021-04-21T13:26:42Z)
• A MLIR Dialect for Quantum Assembly Languages [78.8942067357231]
  We demonstrate the utility of the Multi-Level Intermediate Representation (MLIR) for quantum computing. We extend MLIR with a new quantum dialect that enables the expression and compilation of common quantum assembly languages. We leverage a qcor-enabled implementation of the QIR quantum runtime API to enable a retargetable (quantum hardware agnostic) compiler workflow.
  arXiv  Detail & Related papers  (2021-01-27T13:00:39Z)
• Extending C++ for Heterogeneous Quantum-Classical Computing [56.782064931823015]
  qcor is a language extension to C++ and compiler implementation that enables heterogeneous quantum-classical programming, compilation, and execution in a single-source context. Our work provides a first-of-its-kind C++ compiler enabling high-level quantum kernel (function) expression in a quantum-language manner.
  arXiv  Detail & Related papers  (2020-10-08T12:49:07Z)
• Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features [0.0]
  We propose the Quingo framework to integrate and manage quantum-classical software and hardware to provide the programmability over HQCC applications. We also propose the Quingo programming language, an external domain-specific language highlighting timer-based timing control and opaque operation definition.
  arXiv  Detail & Related papers  (2020-09-02T06:42:51Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.