A First Order Survey of Quantum Supply Dynamics and Threat Landscapes
- URL: http://arxiv.org/abs/2308.09772v1
- Date: Fri, 18 Aug 2023 18:48:37 GMT
- Title: A First Order Survey of Quantum Supply Dynamics and Threat Landscapes
- Authors: Subrata Das, Avimita Chatterjee and Swaroop Ghosh
- Abstract summary: This paper is a first attempt to explore the quantum computing ecosystem from a security perspective.
By investigating the publicly disclosed information from industry front runners like IBM, Google, Honeywell and more, we piece together various components of quantum computing supply chain.
We uncover some potential vulnerabilities and attack models and suggest defenses.
- Score: 2.348041867134616
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Quantum computing, with its transformative computational potential, is
gaining prominence in the technological landscape. As a new and exotic
technology, quantum computers involve innumerable Intellectual Property (IP) in
the form of fabrication recipe, control electronics and software techniques, to
name a few. Furthermore, complexity of quantum systems necessitates extensive
involvement of third party tools, equipment and services which could risk the
IPs and the Quality of Service and enable other attack surfaces. This paper is
a first attempt to explore the quantum computing ecosystem, from the
fabrication of quantum processors to the development of specialized software
tools and hardware components, from a security perspective. By investigating
the publicly disclosed information from industry front runners like IBM,
Google, Honeywell and more, we piece together various components of quantum
computing supply chain. We also uncover some potential vulnerabilities and
attack models and suggest defenses. We highlight the need to scrutinize the
quantum computing supply chain further through the lens of security.
Related papers
- The curse of random quantum data [62.24825255497622]
We quantify the performances of quantum machine learning in the landscape of quantum data.
We find that the training efficiency and generalization capabilities in quantum machine learning will be exponentially suppressed with the increase in qubits.
Our findings apply to both the quantum kernel method and the large-width limit of quantum neural networks.
arXiv Detail & Related papers (2024-08-19T12:18:07Z) - Cyber Protection Applications of Quantum Computing: A Review [0.0]
scoping review was conducted by considering 815 papers.
Numerous quantum computing applications for cyber protection and a number of techniques to protect our data and privacy were identified.
arXiv Detail & Related papers (2024-06-19T06:46:31Z) - Quantum Computing: Vision and Challenges [16.50566018023275]
We discuss cutting-edge developments in quantum computer hardware advancement and subsequent advances in quantum cryptography, quantum software, and high-scalability quantum computers.
Many potential challenges and exciting new trends for quantum technology research and development are highlighted in this paper for a broader debate.
arXiv Detail & Related papers (2024-03-04T17:33:18Z) - A Primer on Security of Quantum Computing [5.510992382274774]
Quantum computing can potentially transform several application areas by solving intractable problems from classical domain.
Quantum computing stack may contain sensitive Intellectual Properties (IP) that requires protection.
Quantum computers suffer from crosstalk that couples two programs in a multi-tenant setting to facilitate traditionally known fault injection attacks.
arXiv Detail & Related papers (2023-05-04T02:30:27Z) - 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) - Architectures for Quantum Information Processing [5.190207094732672]
Quantum computing is changing the way we think about computing.
Quantum phenomena like superposition, entanglement, and interference can be exploited to solve issues that are difficult for traditional computers.
IBM's first public access to true quantum computers through the cloud, as well as Google's demonstration of quantum supremacy, are among the accomplishments.
arXiv Detail & Related papers (2022-11-11T19:18:44Z) - Optimal Stochastic Resource Allocation for Distributed Quantum Computing [50.809738453571015]
We propose a resource allocation scheme for distributed quantum computing (DQC) based on programming to minimize the total deployment cost for quantum resources.
The evaluation demonstrates the effectiveness and ability of the proposed scheme to balance the utilization of quantum computers and on-demand quantum computers.
arXiv Detail & Related papers (2022-09-16T02:37:32Z) - Recent Advances for Quantum Neural Networks in Generative Learning [98.88205308106778]
Quantum generative learning models (QGLMs) may surpass their classical counterparts.
We review the current progress of QGLMs from the perspective of machine learning.
We discuss the potential applications of QGLMs in both conventional machine learning tasks and quantum physics.
arXiv Detail & Related papers (2022-06-07T07:32:57Z) - Cybersecurity for Quantum Computing [3.867124349164785]
Quantum computing companies, institutions and research groups may become targets of nation-state actors, cybercriminals and hacktivists.
This paper discusses the status quo of quantum computing technologies and the quantum threat associated with it.
We propose recommendations on how to proactively reduce the cyberattack surface through threat intelligence and by ensuring security by design of quantum software and hardware components.
arXiv Detail & Related papers (2021-10-27T18:41:30Z) - Standard Model Physics and the Digital Quantum Revolution: Thoughts
about the Interface [68.8204255655161]
Advances in isolating, controlling and entangling quantum systems are transforming what was once a curious feature of quantum mechanics into a vehicle for disruptive scientific and technological progress.
From the perspective of three domain science theorists, this article compiles thoughts about the interface on entanglement, complexity, and quantum simulation.
arXiv Detail & Related papers (2021-07-10T06:12:06Z) - A P4 Data Plane for the Quantum Internet [68.97335984455059]
A new -- quantum -- network stack will be needed to account for the fundamentally new properties of quantum entanglement.
In the non-quantum world, programmable data planes have broken the pattern of ossification of the protocol stack.
We demonstrate how we use P4$_16$ to explore abstractions and device architectures for quantum networks.
arXiv Detail & Related papers (2020-10-21T19:37:23Z)
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.