Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs

• URL: http://arxiv.org/abs/2307.16799v1
• Date: Mon, 31 Jul 2023 16:07:37 GMT
• Title: Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs
• Authors: Tirthak Patel, Daniel Silver, Aditya Ranjan, Harshitta Gandhi, William Cutler, and Devesh Tiwari
• Abstract summary: SPYCE is the first known solution to obfuscate quantum code and output to prevent the leaking of any confidential information over the cloud. SPYCE implements a lightweight, scalable, and effective solution based on the unique principles of quantum computing to achieve this task.
• Score: 2.711804179660095
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum computing is an emerging paradigm that has shown great promise in accelerating large-scale scientific, optimization, and machine-learning workloads. With most quantum computing solutions being offered over the cloud, it has become imperative to protect confidential and proprietary quantum code from being accessed by untrusted and/or adversarial agents. In response to this challenge, we propose SPYCE, which is the first known solution to obfuscate quantum code and output to prevent the leaking of any confidential information over the cloud. SPYCE implements a lightweight, scalable, and effective solution based on the unique principles of quantum computing to achieve this task.

Related papers

• Quantum Operating System Support for Quantum Trusted Execution Environments [10.353892677735212]
  Quantum Trusted Execution Environments (QTEEs) have been proposed to protect users' quantum circuits when they are submitted to remote cloud-based quantum computers. This work introduces the first architecture for a QOS to support and enable essential steps required for secure quantum task execution on cloud platforms.
  arXiv  Detail & Related papers  (2024-10-11T03:27:34Z)
• Quantum delegated and federated learning via quantum homomorphic encryption [0.5939164722752263]
  We present a general framework that enables quantum delegated and federated learning with atheoretical data privacy guarantee. We show that learning and inference under this framework feature substantially lower communication complexity compared with schemes based on blind quantum computing.
  arXiv  Detail & Related papers  (2024-09-28T14:13:50Z)
• 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)
• Tuning Quantum Computing Privacy through Quantum Error Correction [12.475140331375666]
  We propose to leverage quantum error correction techniques to reduce quantum computing errors. We show that QEC is a feasible way to regulate the degree of privacy protection in quantum computing.
  arXiv  Detail & Related papers  (2023-12-22T08:35:23Z)
• Designing Hash and Encryption Engines using Quantum Computing [2.348041867134616]
  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.
  arXiv  Detail & Related papers  (2023-10-26T14:49:51Z)
• Quantum Annealing for Single Image Super-Resolution [86.69338893753886]
  We propose a quantum computing-based algorithm to solve the single image super-resolution (SISR) problem. The proposed AQC-based algorithm is demonstrated to achieve improved speed-up over a classical analog while maintaining comparable SISR accuracy.
  arXiv  Detail & Related papers  (2023-04-18T11:57:15Z)
• Delegated variational quantum algorithms based on quantum homomorphic encryption [69.50567607858659]
  Variational quantum algorithms (VQAs) are one of the most promising candidates for achieving quantum advantages on quantum devices. The private data of clients may be leaked to quantum servers in such a quantum cloud model. A novel quantum homomorphic encryption (QHE) scheme is constructed for quantum servers to calculate encrypted data.
  arXiv  Detail & Related papers  (2023-01-25T07:00:13Z)
• 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)
• An Evolutionary Pathway for the Quantum Internet Relying on Secure Classical Repeaters [64.48099252278821]
  We conceive quantum networks using secure classical repeaters combined with the quantum secure direct communication principle. In these networks, the ciphertext gleaned from a quantum-resistant algorithm is transmitted using QSDC along the nodes. We have presented the first experimental demonstration of a secure classical repeater based hybrid quantum network.
  arXiv  Detail & Related papers  (2022-02-08T03:24:06Z)
• On exploring the potential of quantum auto-encoder for learning quantum systems [60.909817434753315]
  We devise three effective QAE-based learning protocols to address three classically computational hard learning problems. Our work sheds new light on developing advanced quantum learning algorithms to accomplish hard quantum physics and quantum information processing tasks.
  arXiv  Detail & Related papers  (2021-06-29T14:01:40Z)
• 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)

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.