Demonstration of teleportation across a quantum network code
- URL: http://arxiv.org/abs/2210.02878v1
- Date: Thu, 6 Oct 2022 12:59:48 GMT
- Title: Demonstration of teleportation across a quantum network code
- Authors: Hjalmar Rall and Mark Tame
- Abstract summary: In quantum networks an important goal is to reduce resource requirements for the transport and communication of quantum information.
Quantum network coding presents a way of doing this by distributing entangled states over a network that would ordinarily exhibit contention.
We study measurement-based quantum network coding (MQNC), which is a protocol particularly suitable for noisy intermediate-scale quantum devices.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In quantum networks an important goal is to reduce resource requirements for
the transport and communication of quantum information. Quantum network coding
presents a way of doing this by distributing entangled states over a network
that would ordinarily exhibit contention. In this work, we study
measurement-based quantum network coding (MQNC), which is a protocol
particularly suitable for noisy intermediate-scale quantum devices. MQNC has
previously been studied experimentally on a superconducting processor, however
the resulting states did not have a usable degree of entanglement. We adapt
MQNC to the newer superconducting processor ibm_cairo and obtain a much
improved degree of entanglement, enabling us to demonstrate successful
teleportation of quantum information. The teleportation is shown to occur with
fidelity higher than could be achieved via classical means, made possible by
considering qubits from a polar cap of the Bloch Sphere. We also present a
generalization of MQNC with a simple mapping onto the heavy-hex processor
layout and a direct mapping onto a proposed logical error-corrected layout. Our
work provides some useful techniques for testing and successfully carrying out
quantum network coding.
Related papers
- Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback [14.740159711831723]
In gate-based quantum computing, the creation of entangled states or the distribution of entanglement across a quantum processor often requires circuit depths which grow with the number of entangled qubits.
In teleportation-based quantum computing, one can deterministically generate entangled states with a circuit depth that is constant in the number of qubits.
arXiv Detail & Related papers (2024-03-27T17:06:00Z) - 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) - QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional
Networks [124.7972093110732]
We propose quantum graph convolutional networks (QuanGCN), which learns the local message passing among nodes with the sequence of crossing-gate quantum operations.
To mitigate the inherent noises from modern quantum devices, we apply sparse constraint to sparsify the nodes' connections.
Our QuanGCN is functionally comparable or even superior than the classical algorithms on several benchmark graph datasets.
arXiv Detail & Related papers (2022-11-09T21:43:16Z) - Quantum Semantic Communications for Resource-Efficient Quantum Networking [52.3355619190963]
This letter proposes a novel quantum semantic communications (QSC) framework exploiting advancements in quantum machine learning and quantum semantic representations.
The proposed framework achieves approximately 50-75% reduction in quantum communication resources needed, while achieving a higher quantum semantic fidelity.
arXiv Detail & Related papers (2022-05-05T03:49:19Z) - Experimental demonstration of entanglement delivery using a quantum
network stack [1.3684924922685724]
We experimentally demonstrate, using remote solid-state quantum network nodes, a link layer and a physical layer protocol for entanglement-based quantum networks.
Results mark a clear transition from physics experiments to quantum communication systems.
arXiv Detail & Related papers (2021-11-22T16:39:33Z) - Realizing Quantum Convolutional Neural Networks on a Superconducting
Quantum Processor to Recognize Quantum Phases [2.1465372441653354]
Quantum neural networks tailored to recognize specific features of quantum states by combining unitary operations, measurements and feedforward promise to require fewer measurements and to tolerate errors.
We realize a quantum convolutional neural network (QCNN) on a 7-qubit superconducting quantum processor to identify symmetry-protected topological phases of a spin model characterized by a non-zero string order parameter.
We find that, despite being composed of finite-fidelity gates itself, the QCNN recognizes the topological phase with higher fidelity than direct measurements of the string order parameter for the prepared states.
arXiv Detail & Related papers (2021-09-13T12:32:57Z) - 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) - Entangling Quantum Generative Adversarial Networks [53.25397072813582]
We propose a new type of architecture for quantum generative adversarial networks (entangling quantum GAN, EQ-GAN)
We show that EQ-GAN has additional robustness against coherent errors and demonstrate the effectiveness of EQ-GAN experimentally in a Google Sycamore superconducting quantum processor.
arXiv Detail & Related papers (2021-04-30T20:38:41Z) - Designing a Quantum Network Protocol [0.0]
We present a quantum network protocol designed to enable end-to-end quantum communication.
One of the key challenges in near-term quantum technology is decoherence -- the gradual decay of quantum information.
We show that the protocol is able to deliver its service even in the face of significant losses due to decoherence.
arXiv Detail & Related papers (2020-10-06T09:41:14Z) - SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks [53.56179714852967]
This work develops SeQUeNCe, a comprehensive, customizable quantum network simulator.
We implement a comprehensive suite of network protocols and demonstrate the use of SeQUeNCe by simulating a photonic quantum network with nine routers equipped with quantum memories.
We are releasing SeQUeNCe as an open source tool and aim to generate community interest in extending it.
arXiv Detail & Related papers (2020-09-25T01:52:15Z) - Identification of networking quantum teleportation on 14-qubit IBM
universal quantum computer [1.7188280334580197]
We propose two protocols for teleporting qubits through an N-node quantum network.
The protocols are scalable to an arbitrary finite number N and applicable to arbitrary size of modules.
The protocol based on a box-cluster state is implemented on a 14-qubit IBM quantum computer for N up to 12.
arXiv Detail & Related papers (2020-02-20T11:02:02Z)
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.