Quantum-enhanced metrology with network states
- URL: http://arxiv.org/abs/2307.07758v2
- Date: Wed, 22 May 2024 07:13:36 GMT
- Title: Quantum-enhanced metrology with network states
- Authors: Yuxiang Yang, Benjamin Yadin, Zhen-Peng Xu,
- Abstract summary: We prove a general bound that limits the performance of using quantum network states to estimate a global parameter.
Our work establishes both the limitation and the possibility of quantum metrology within quantum networks.
- Score: 8.515162179098382
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Armed with quantum correlations, quantum sensors in a network have shown the potential to outclass their classical counterparts in distributed sensing tasks such as clock synchronization and reference frame alignment. On the other hand, this analysis was done for simple and idealized networks, whereas the correlation shared within a practical quantum network, captured by the notion of network states, is much more complex. Here, we prove a general bound that limits the performance of using quantum network states to estimate a global parameter, establishing the necessity of genuine multipartite entanglement for achieving a quantum advantage. The bound can also serve as an entanglement witness in networks and can be generalized to states generated by shallow circuits. Moreover, while our bound prohibits local network states from achieving the Heisenberg limit, we design a probabilistic protocol that, once successful, attains this ultimate limit of quantum metrology and preserves the privacy of involved parties. Our work establishes both the limitation and the possibility of quantum metrology within quantum networks.
Related papers
- Quantum Advantage in Distributed Sensing with Noisy Quantum Networks [37.23288214515363]
We show that quantum advantage in distributed sensing can be achieved with noisy quantum networks.
We show that while entanglement is needed for this quantum advantage, genuine multipartite entanglement is generally unnecessary.
arXiv Detail & Related papers (2024-09-25T16:55:07Z) - 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) - Detection of Network and Genuine Network Quantum Steering [7.871322835493703]
We show that our criteria can detect more quantum network steering than that from the violation of the n-locality quantum networks.
It is shown that biseparable assemblages can demonstrate genuine network steering in the star network configurations.
arXiv Detail & Related papers (2023-12-10T05:29:52Z) - 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 Network Utility: A Framework for Benchmarking Quantum Networks [14.638996634412976]
We propose a general framework for quantifying the performance of a quantum network.
We define the quantum network utility metric $U_QN$ to capture the social and economic value of quantum networks.
arXiv Detail & Related papers (2022-10-19T17:50:11Z) - 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) - The Computational and Latency Advantage of Quantum Communication
Networks [70.01340727637825]
This article summarises the current status of classical communication networks.
It identifies some critical open research challenges that can only be solved by leveraging quantum technologies.
arXiv Detail & Related papers (2021-06-07T06:31:02Z) - Genuine quantum networks: superposed tasks and addressing [68.8204255655161]
We show how to make quantum networks, both standard and entanglement-based, genuine quantum.
We provide them with the possibility of handling superposed tasks and superposed addressing.
arXiv Detail & Related papers (2020-04-30T18:00:06Z) - Semidefinite tests for quantum network topologies [0.9176056742068814]
Quantum networks play a major role in long-distance communication, quantum cryptography, clock synchronization, and distributed quantum computing.
The question of which correlations a given quantum network can give rise to, remains almost uncharted.
We show that constraints on the observable covariances, previously derived for the classical case, also hold for quantum networks.
arXiv Detail & Related papers (2020-02-13T22:36:46Z) - 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.