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This notebook covers the visualization analysis results of QMASM is a tool that computes simple heuristic computation algorithms. Developers, on the other hand, may integrate the solution into D-wave system directly or by using local simulator which poses questions about the reliability security of tool such as QMASM. We use IBM Brunel Visualiza…

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HeshamAlsaadi/Quantum-Security

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Visualizing Quantum Macro Assembler for D-Wave Systems ( QMASM )

Project: Analyzing D-Wave Quantum Macro Assembler Security

Orginal Project by Hesham H.Alsaadi

Project Hosted in GitHub Page Quantum Security

This notebook covers the visualization analysis results of QMASM is a tool that computes simple heuristic computation algorithms. Developers, on the other hand, may integrate the solution into D-wave system directly or by using local simulator which poses questions about the reliability security of tool such as QMASM. We use IBM Brunel Visualization language to visualize and analyze the results of the following selected tools for comparison due to its support in providing comprehensive security debugging analysis to the QMASM framework.

About

This project is still maintained for the replication of our published paper Analyzing D-Wave Quantum Macro Assembler Security on Conference: 16th International Conference on Information Technology : New Generations ITNG 2019At: Las Vegas, NV. For citation use ACM Digital Library.

Abstract

As we enter the quantum computing era, security becomes of at most importance. With the release of D-Wave One in 2011 and most recently the 2000Q, with 2,000 qubits, and with NASA and Google using D-wave Systems quantum computers, a thorough examination of quantum computer security is needed. Quantum computers underlying hardware is not compatible with classical boolean and binary-based computer systems and software. Assemblers and compliers translate modern programming languages and problems into quantum-annealing methods compatible with quantum computers. This paper presents a vulnerability assessment utilizing static source code analysis on Qmasm Python tool. More specifically, we use flow-sensitive, inter-procedural and context-sensitive data flow analysis to uncover vulnerable points in the program. We demonstrate the Qmasm security flaws that can leave D-Wave 2X system vulnerable to severe threats.

QMASM Releases

The table below summarizes the main description of all QMASM releases that has been analyzed.

Name Version Date Python Files Description Size
QASM 1.0 August 26,2016 19 The first formal release of QASM. Tested using Python 2.7.12, SAPI 2.4, and qOp 2.2, all on Ubuntu Linux 16.04 LTS (Xenial Xerus) 216 KB
QMASM 1.1 October 27,2016 19 Renamed QMASM, the code contains miscellaneous, sources, disconnected variables, and both proxied and non-proxied network access 232 KB
QMASM 1.2 November 12,2016 19 Contains new output format: the MiniZinc constraint-modeling language by using –format=minizinc on the qmasm command line 380 KB

About

This notebook covers the visualization analysis results of QMASM is a tool that computes simple heuristic computation algorithms. Developers, on the other hand, may integrate the solution into D-wave system directly or by using local simulator which poses questions about the reliability security of tool such as QMASM. We use IBM Brunel Visualiza…

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