Assembly to Quantum Compiler

• URL: http://arxiv.org/abs/2601.07706v1
• Date: Mon, 12 Jan 2026 16:39:40 GMT
• Title: Assembly to Quantum Compiler
• Authors: Andrew Haverly, Shahram Rahimi, Mark A. Novotny,
• Abstract summary: This research presents a novel approach in quantum computing by transforming ARM assembly instructions for use in quantum algorithms.<n>The core achievement is the development of a method to directly map the ARM assembly language, a staple in classical computing, to quantum computing paradigms.
• Score: 1.3126858950459552
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This research presents a novel approach in quantum computing by transforming ARM assembly instructions for use in quantum algorithms. The core achievement is the development of a method to directly map the ARM assembly language, a staple in classical computing, to quantum computing paradigms. The practical application of this methodology is demonstrated through the computation of the Fibonacci sequence. This example serves to validate the approach and underscores its potential in simplifying quantum algorithms. Grover's Algorithm was realized through the use of quantum-specific instructions. These transformations were developed as part of an open-source assembly-to-quantum compiler (github.com/arhaverly/AssemblyToQuantumCompiler). This effort introduces a novel approach to utilizing classical instruction sets in quantum computing and offers insight into potential future developments in the field. The AssemblyToQuantumCompiler streamlines quantum programming and enables computer scientists to transition more easily from classical to quantum computer programming.

Related papers

• Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms [50.573955644831386]
  Quantum-enhanced Computer Vision (QeCV) is a new research field at the intersection of computer vision, machine learning and quantum computing.<n>It has high potential to transform how visual signals are processed and interpreted with the help of quantum computing.<n>This survey contributes to the existing literature on QeCV with a holistic review of this research field.
  arXiv  Detail & Related papers  (2025-10-08T17:59:51Z)
• ONDA: A High-Level Quantum Programming Language with Sequential Execution and Conditional Branching [0.0]
  ONDA is a quantum programming language designed to significantly simplify quantum programming.<n>ONDA compiles into quantum instructions executed autonomously by specialized quantum hardware.<n>By leveraging a quantum microarchitecture that autonomously processes compiled instructions, ONDA facilitates the intuitive implementation of high-level quantum algorithms.
  arXiv  Detail & Related papers  (2024-10-09T11:16:29Z)
• Quantum Compiling with Reinforcement Learning on a Superconducting Processor [55.135709564322624]
  We develop a reinforcement learning-based quantum compiler for a superconducting processor. We demonstrate its capability of discovering novel and hardware-amenable circuits with short lengths. Our study exemplifies the codesign of the software with hardware for efficient quantum compilation.
  arXiv  Detail & Related papers  (2024-06-18T01:49:48Z)
• Quantum Algorithm Cards: Streamlining the development of hybrid classical-quantum applications [0.0]
  The emergence of quantum computing proposes a revolutionary paradigm that can radically transform numerous scientific and industrial application domains. The ability of quantum computers to scale computations implies better performance and efficiency for certain algorithmic tasks than current computers provide. To gain benefit from such improvement, quantum computers must be integrated with existing software systems, a process that is not straightforward.
  arXiv  Detail & Related papers  (2023-10-04T06:02:59Z)
• The QUATRO Application Suite: Quantum Computing for Models of Human Cognition [49.038807589598285]
  We unlock a new class of applications ripe for quantum computing research -- computational cognitive modeling. We release QUATRO, a collection of quantum computing applications from cognitive models.
  arXiv  Detail & Related papers  (2023-09-01T17:34:53Z)
• Quantum Machine Learning: from physics to software engineering [58.720142291102135]
  We show how classical machine learning approach can help improve the facilities of quantum computers. We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
  arXiv  Detail & Related papers  (2023-01-04T23:37:45Z)
• Parametric Synthesis of Computational Circuits for Complex Quantum Algorithms [0.0]
  The purpose of our quantum synthesizer is enabling users to implement quantum algorithms using higher-level commands. The proposed approach for implementing quantum algorithms has a potential application in the field of machine learning.
  arXiv  Detail & Related papers  (2022-09-20T06:25:47Z)
• Compilation of algorithm-specific graph states for quantum circuits [55.90903601048249]
  We present a quantum circuit compiler that prepares an algorithm-specific graph state from quantum circuits described in high level languages. The computation can then be implemented using a series of non-Pauli measurements on this graph state.
  arXiv  Detail & Related papers  (2022-09-15T14:52:31Z)
• Quantum Netlist Compiler (QNC) [0.0]
  We introduce the Quantum Netlist Compiler (QNC) that converts arbitrary unitary operators or desired initial states of quantum algorithms to OpenQASM-2.0 circuits. The results show that QNC is well suited for quantum circuit optimization and produces circuits with competitive success rates in practice.
  arXiv  Detail & Related papers  (2022-09-02T05:00:38Z)
• An LLVM-based C++ Compiler Toolchain for Variational Hybrid Quantum-Classical Algorithms and Quantum Accelerators [0.8323133408188051]
  This paper presents an LLVM-based C++ compiler toolchain to efficiently execute variational hybrid quantum-classical algorithms. We introduce a set of extensions to the C++ language for programming these algorithms. We evaluate the framework's performance by running quantum circuits that prepare Thermofield Double (TFD) states.
  arXiv  Detail & Related papers  (2022-02-22T19:32:50Z)
• 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)
• Electronic structure with direct diagonalization on a D-Wave quantum annealer [62.997667081978825]
  This work implements the general Quantum Annealer Eigensolver (QAE) algorithm to solve the molecular electronic Hamiltonian eigenvalue-eigenvector problem on a D-Wave 2000Q quantum annealer. We demonstrate the use of D-Wave hardware for obtaining ground and electronically excited states across a variety of small molecular systems.
  arXiv  Detail & Related papers  (2020-09-02T22:46:47Z)

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.