OpenQL: A Portable Quantum Programming Framework for Quantum Accelerators

Author:

Khammassi N.1,Ashraf I.1,Someren J. V.1,Nane R.1,Krol A. M.1,Rol M. A.2,Lao L.1,Bertels K.1,Almudever C. G.1

Affiliation:

1. Quantum & Computer Engineering Dept., Delft University of Technology, The Netherlands

2. Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands

Abstract

With the potential of quantum algorithms to solve intractable classical problems, quantum computing is rapidly evolving, and more algorithms are being developed and optimized. Expressing these quantum algorithms using a high-level language and making them executable on a quantum processor while abstracting away hardware details is a challenging task. First, a quantum programming language should provide an intuitive programming interface to describe those algorithms. Then a compiler has to transform the program into a quantum circuit, optimize it, and map it to the target quantum processor respecting the hardware constraints such as the supported quantum operations, the qubit connectivity, and the control electronics limitations. In this article, we propose a quantum programming framework named OpenQL, which includes a high-level quantum programming language and its associated quantum compiler. We present the programming interface of OpenQL, we describe the different layers of the compiler and how we can provide portability over different qubit technologies. Our experiments show that OpenQL allows the execution of the same high-level algorithm on two different qubit technologies, namely superconducting qubits and Si-Spin qubits. Besides the executable code, OpenQL also produces an intermediate quantum assembly code, which is technology independent and can be simulated using the QX simulator.

Funder

Intel Corporation

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

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1. MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2;2024-04-27

2. Resource analysis and modifications of quantum computing with noisy qubits for elliptic curve discrete logarithms;Scientific Reports;2024-02-16

3. BeSnake: A Routing Algorithm for Scalable Spin-Qubit Architectures;IEEE Transactions on Quantum Engineering;2024

4. Kuantum Programlama Açısından Kuantum Derleyicilerin Karşılaştırmalı Analizi ve IBMQ Uygulaması;Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi;2023-12-31

5. HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06

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