Designing Hash and Encryption Engines using Quantum Computing

• URL: http://arxiv.org/abs/2310.17439v1
• Date: Thu, 26 Oct 2023 14:49:51 GMT
• Title: Designing Hash and Encryption Engines using Quantum Computing
• Authors: Suryansh Upadhyay, Rupshali Roy, Swaroop Ghosh
• Abstract summary: We explore quantum-based hash functions and encryption to fortify data security. The integration of quantum and classical methods demonstrates potential in securing data in the era of quantum computing.
• Score: 2.348041867134616
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Quantum computing (QC) holds the promise of revolutionizing problem-solving by exploiting quantum phenomena like superposition and entanglement. It offers exponential speed-ups across various domains, from machine learning and security to drug discovery and optimization. In parallel, quantum encryption and key distribution have garnered substantial interest, leveraging quantum engines to enhance cryptographic techniques. Classical cryptography faces imminent threats from quantum computing, exemplified by Shors algorithms capacity to breach established encryption schemes. However, quantum circuits and algorithms, capitalizing on superposition and entanglement, offer innovative avenues for enhancing security. In this paper we explore quantum-based hash functions and encryption to fortify data security. Quantum hash functions and encryption can have numerous potential application cases, such as password storage, digital signatures, cryptography, anti-tampering etc. The integration of quantum and classical methods demonstrates potential in securing data in the era of quantum computing.

Related papers

• Revocable Encryption, Programs, and More: The Case of Multi-Copy Security [48.53070281993869]
  We show the feasibility of revocable primitives, such as revocable encryption and revocable programs. This suggests that the stronger notion of multi-copy security is within reach in unclonable cryptography.
  arXiv  Detail & Related papers  (2024-10-17T02:37:40Z)
• 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)
• Post-Quantum Cryptography: Securing Digital Communication in the Quantum Era [0.0]
  Post-quantum cryptography (PQC) is a critical field aimed at developing resilient cryptographic algorithms to quantum attacks. This paper delineates the vulnerabilities of classical cryptographic systems to quantum attacks, elucidates impervious principles of quantum computing, and introduces various PQC algorithms.
  arXiv  Detail & Related papers  (2024-03-18T12:51:56Z)
• Deploying hybrid quantum-secured infrastructure for applications: When quantum and post-quantum can work together [0.8702432681310401]
  Quantum key distribution is secure against unforeseen technological developments. Post-quantum cryptography is believed to be secure even against attacks with both classical and quantum computing technologies. Various directions in the further development of the full-stack quantum-secured infrastructure are also indicated.
  arXiv  Detail & Related papers  (2023-04-10T13:44:21Z)
• Revocable Cryptography from Learning with Errors [61.470151825577034]
  We build on the no-cloning principle of quantum mechanics and design cryptographic schemes with key-revocation capabilities. We consider schemes where secret keys are represented as quantum states with the guarantee that, once the secret key is successfully revoked from a user, they no longer have the ability to perform the same functionality as before.
  arXiv  Detail & Related papers  (2023-02-28T18:58:11Z)
• 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)
• Quantum Cryptography: Quantum Key Distribution, a Non-technical Approach [0.0]
  Quantum mechanics provides means to create an inherently secure communication channel that is protected by the laws of physics. This paper is a non-technical overview of quantum key distribution, a type of cryptography poised to exploit the laws of quantum mechanics directly.
  arXiv  Detail & Related papers  (2022-11-09T15:30:23Z)
• A practical quantum encryption protocol with varying encryption configurations [0.0]
  We propose a quantum encryption protocol that utilizes a quantum algorithm to create blocks oftext ciphers based on quantum states. The main feature of our quantum encryption protocol is that the encryption configuration of each block is determined by the previous blocks.
  arXiv  Detail & Related papers  (2021-01-22T20:09:03Z)
• Quantum Ciphertext Dimension Reduction Scheme for Homomorphic Encrypted Data [4.825895794318393]
  Proposed quantum principal component extraction algorithm (QPCE) A quantum homomorphic ciphertext dimension reduction scheme (QHEDR) A quantum ciphertext dimensionality reduction scheme implemented in the quantum cloud.
  arXiv  Detail & Related papers  (2020-11-19T07:16:22Z)
• Backflash Light as a Security Vulnerability in Quantum Key Distribution Systems [77.34726150561087]
  We review the security vulnerabilities of quantum key distribution (QKD) systems. We mainly focus on a particular effect known as backflash light, which can be a source of eavesdropping attacks.
  arXiv  Detail & Related papers  (2020-03-23T18:23:12Z)
• Quantum noise protects quantum classifiers against adversaries [120.08771960032033]
  Noise in quantum information processing is often viewed as a disruptive and difficult-to-avoid feature, especially in near-term quantum technologies. We show that by taking advantage of depolarisation noise in quantum circuits for classification, a robustness bound against adversaries can be derived. This is the first quantum protocol that can be used against the most general adversaries.
  arXiv  Detail & Related papers  (2020-03-20T17:56:14Z)

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.