Experimental verifiable multi-client blind quantum computing on a Qline architecture

• URL: http://arxiv.org/abs/2407.09310v2
• Date: Wed, 24 Jul 2024 15:56:23 GMT
• Title: Experimental verifiable multi-client blind quantum computing on a Qline architecture
• Authors: Beatrice Polacchi, Dominik Leichtle, Gonzalo Carvacho, Giorgio Milani, Nicolò Spagnolo, Marc Kaplan, Elham Kashefi, Fabio Sciarrino,
• Abstract summary: We provide the first experimental implementation of a two-client verifiable blind quantum computing protocol in a distributed architecture. Results represent novel perspectives for the verification of multi-tenant distributed quantum computation in large-scale networks.
• Score: 0.5018974919510384
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The exploitation of certification tools by end users represents a fundamental aspect of the development of quantum technologies as the hardware scales up beyond the regime of classical simulatability. Certifying quantum networks becomes even more crucial when the privacy of their users is exposed to malicious quantum nodes or servers as in the case of multi-client distributed blind quantum computing, where several clients delegate a joint private computation to remote quantum servers, such as federated quantum machine learning. In such protocols, security must be provided not only by keeping data hidden but also by verifying that the server is correctly performing the requested computation while minimizing the hardware assumptions on the employed devices. Notably, standard verification techniques fail in scenarios where the clients receive quantum states from untrusted sources such as, for example, in a recently demonstrated linear quantum network performing multi-client blind quantum computation. However, recent theoretical results provide techniques to verify blind quantum computations even in the case of untrusted state preparation. Equipped with such theoretical tools, in this work, we provide the first experimental implementation of a two-client verifiable blind quantum computing protocol in a distributed architecture. The obtained results represent novel perspectives for the verification of multi-tenant distributed quantum computation in large-scale networks.

Related papers

• On-Chip Verified Quantum Computation with an Ion-Trap Quantum Processing Unit [0.5497663232622965]
  We present and experimentally demonstrate a novel approach to verification and benchmarking of quantum computing. Unlike previous information-theoretically secure verification protocols, our approach is implemented entirely on-chip. Our results pave the way for more accessible and efficient verification and benchmarking strategies in near-term quantum devices.
  arXiv  Detail & Related papers  (2024-10-31T16:54:41Z)
• 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)
• Guarantees on the structure of experimental quantum networks [105.13377158844727]
  Quantum networks connect and supply a large number of nodes with multi-party quantum resources for secure communication, networked quantum computing and distributed sensing. As these networks grow in size, certification tools will be required to answer questions regarding their properties. We demonstrate a general method to guarantee that certain correlations cannot be generated in a given quantum network.
  arXiv  Detail & Related papers  (2024-03-04T19:00:00Z)
• A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity [50.387179833629254]
  We introduce a collaborative classical-quantum architecture called co-TenQu. Co-TenQu enhances a classical deep neural network by up to 41.72% in a fair setting. It outperforms other quantum-based methods by up to 1.9 times and achieves similar accuracy while utilizing 70.59% fewer qubits.
  arXiv  Detail & Related papers  (2024-02-23T14:09:41Z)
• Multi-client distributed blind quantum computation with the Qline architecture [0.0]
  Universal blind quantum computing allows users with minimal quantum resources to delegate a quantum computation to a remote quantum server. We propose and experimentally demonstrate a lightweight multi-client blind quantum computation protocol based on a novel linear quantum network configuration.
  arXiv  Detail & Related papers  (2023-06-08T13:50:02Z)
• 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)
• Oblivious Quantum Computation and Delegated Multiparty Quantum Computation [61.12008553173672]
  We propose a new concept, oblivious computation quantum computation, where secrecy of the input qubits and the program to identify the quantum gates are required. Exploiting quantum teleportation, we propose a two-server protocol for this task. Also, we discuss delegated multiparty quantum computation, in which, several users ask multiparty quantum computation to server(s) only using classical communications.
  arXiv  Detail & Related papers  (2022-11-02T09:01:33Z)
• Verifiable blind quantum computation with identity authentication for different types of clients [3.0058005235097123]
  Blind quantum computing (BQC) provides a solution for clients with limited quantum capabilities to delegate their quantum computation to remote quantum servers while keeping input, output, and even algorithm private. In this paper, we propose three multi-party verifiable blind quantum computing (VBQC) protocols with identity authentication to handle clients with varying quantum capabilities in quantum networks.
  arXiv  Detail & Related papers  (2022-10-18T13:21:34Z)
• Quantum Federated Learning with Quantum Data [87.49715898878858]
  Quantum machine learning (QML) has emerged as a promising field that leans on the developments in quantum computing to explore large complex machine learning problems. This paper proposes the first fully quantum federated learning framework that can operate over quantum data and, thus, share the learning of quantum circuit parameters in a decentralized manner.
  arXiv  Detail & Related papers  (2021-05-30T12:19:27Z)
• Delegating Multi-Party Quantum Computations vs. Dishonest Majority in Two Quantum Rounds [0.0]
  Multi-Party Quantum Computation (MPQC) has attracted a lot of attention as a potential killer-app for quantum networks. We present a composable protocol achieving blindness and verifiability even in the case of a single honest client.
  arXiv  Detail & Related papers  (2021-02-25T15:58:09Z)

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.