Characterizing arbitrary quantum networks in the noisy
intermediate-scale quantum era
- URL: http://arxiv.org/abs/2210.13751v2
- Date: Mon, 23 Oct 2023 02:48:17 GMT
- Title: Characterizing arbitrary quantum networks in the noisy
intermediate-scale quantum era
- Authors: Zhen-Peng Xu
- Abstract summary: We provide a systematic approach to tackle with arbitrary quantum networks in the NISQ era.
One application of our method is to witness the progress of essential elements in quantum networks.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum networks are of high interest nowadays. In short, they describe the
distribution of quantum sources represented by edges to different parties
represented by nodes in the networks. Bundles of tools have been developed
recently to characterize quantum states from the network in the ideal case.
However, features of quantum networks in the noisy intermediate-scale quantum
(NISQ) era invalidate most of them and call for feasible tools. By utilizing
purity, covariance, and topology of quantum networks, we provide a systematic
approach to tackle with arbitrary quantum networks in the NISQ era, which can
be noisy, intermediate-scale, random, and sparse. One application of our method
is to witness the progress of essential elements in quantum networks, like the
quality of multipartite entangled sources and quantum memory.
Related papers
- Guarantees on the structure of experimental quantum networks [109.08741987555818]
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) - Practical limitations on robustness and scalability of quantum Internet [0.7499722271664144]
We study the limitations on the scaling and robustness of quantum Internet.
We present practical bottlenecks for secure communication, delegated computing, and resource distribution among end nodes.
For some examples of quantum networks, we present algorithms to perform different quantum network tasks of interest.
arXiv Detail & Related papers (2023-08-24T12:32:48Z) - Entanglement-Assisted Quantum Networks: Mechanics, Enabling
Technologies, Challenges, and Research Directions [66.27337498864556]
This paper presents a comprehensive survey of entanglement-assisted quantum networks.
It provides a detailed overview of the network structure, working principles, and development stages.
It also emphasizes open research directions, including architecture design, entanglement-based network issues, and standardization.
arXiv Detail & Related papers (2023-07-24T02:48:22Z) - Quantum networks with neutral atom processing nodes [0.42970700836450487]
Quantum networks providing shared entanglement over a mesh of quantum nodes will revolutionize the field of quantum information science.
Recent experimental progress with individual neutral atoms demonstrates a high potential for implementing the crucial components of such networks.
We describe both the functionality requirements and several examples for advanced, large-scale quantum networks composed of neutral atom processing nodes.
arXiv Detail & Related papers (2023-04-04T19:34:13Z) - 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) - Cavity-enhanced quantum network nodes [0.0]
A future quantum network will consist of quantum processors that are connected by quantum channels.
I will describe how optical resonators facilitate quantum network nodes.
arXiv Detail & Related papers (2022-05-30T18:50:35Z) - 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) - Strong entanglement distribution of quantum networks [3.6720510088596297]
Large-scale quantum networks have been employed to overcome practical constraints of transmissions and storage for single entangled systems.
We show any connected network consisting of generalized EPR states and GHZ states satisfies strong CKW monogamy inequality in terms of bipartite entanglement measure.
We classify entangled quantum networks by distinguishing network configurations under local unitary operations.
arXiv Detail & Related papers (2021-09-27T08:45:18Z) - 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) - Entanglement Classification via Neural Network Quantum States [58.720142291102135]
In this paper we combine machine-learning tools and the theory of quantum entanglement to perform entanglement classification for multipartite qubit systems in pure states.
We use a parameterisation of quantum systems using artificial neural networks in a restricted Boltzmann machine (RBM) architecture, known as Neural Network Quantum States (NNS)
arXiv Detail & Related papers (2019-12-31T07:40:23Z)
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.