Quantum Simulation of Noisy Quantum Networks

• URL: http://arxiv.org/abs/2506.09144v1
• Date: Tue, 10 Jun 2025 18:01:10 GMT
• Title: Quantum Simulation of Noisy Quantum Networks
• Authors: Ferran Riera-Sàbat, Jorge Miguel-Ramiro, Wolfgang Dür,
• Abstract summary: Complex quantum networks are hard to simulate due to exponentially growing state space and noise-induced imperfections.<n>We propose an alternative approach that leverage quantum computers and noisy intermediate-scale quantum (NISQ) devices as simulators for quantum networks.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Complex quantum networks are not only hard to establish, but also difficult to simulate due to the exponentially growing state space and noise-induced imperfections. In this work, we propose an alternative approach that leverage quantum computers and noisy intermediate-scale quantum (NISQ) devices as simulators for quantum networks, including noisy quantum devices, channels, and protocols. Rather than considering noise as an undesired property that needs to be mitigated, we demonstrate how imperfections in quantum hardware can be utilized to simulate real-world communication devices under realistic conditions beyond classical simulation capabilities. Our approach allows NISQ devices with modest noise to simulate devices with more significant imperfections enabling large-scale, detailed simulations of quantum networks, where exact error models can be treated. It also improves over direct implementation and benchmarking of real networks, as waiting times for information transmission, locality, and memory restrictions do not apply. This framework can offer advantages in flexibility, scalability, and precision, demonstrating that NISQ devices can serve as natural testbeds for complex quantum networks, and paving the way for more efficient quantum network simulations.

Related papers

• VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning [60.996803677584424]
  Variational Quantum Circuits (VQCs) offer a novel pathway for quantum machine learning.<n>Their practical application is hindered by inherent limitations such as constrained linear expressivity, optimization challenges, and acute sensitivity to quantum hardware noise.<n>This work introduces VQC-MLPNet, a scalable and robust hybrid quantum-classical architecture designed to overcome these obstacles.
  arXiv  Detail & Related papers  (2025-06-12T01:38:15Z)
• Quantum simulation of the Hubbard model on a graphene hexagon: Strengths of IQPE and noise constraints [0.0]
  We simulate the Hubbard model on a six-site graphene hexagon using Qiskit.<n>We employ IQPE and adiabatic evolution algorithms to determine its ground-state properties.<n>To examine these limitations, we utilize the Qiskit Aer simulator with a custom noise model tailored to the characteristics of IBM's real backend.
  arXiv  Detail & Related papers  (2025-06-05T13:40:08Z)
• Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks [1.349950008899546]
  We propose a novel quantum echo-state network (QESN) algorithm that can operate within the presence of noise on current IBM hardware.<n>Our results show that the QESN can predict long time-series with persistent memory, running over 100 times longer than the median T1 and T2 of the IBM Marrakesh QPU.
  arXiv  Detail & Related papers  (2025-05-11T00:40:44Z)
• Efficient Simulation of Open Quantum Systems on NISQ Trapped-Ion Hardware [0.0]
  We propose an efficient framework for simulating open quantum systems on NISQ hardware. Our approach avoids the computationally expensive Trotterization method and exploits the Lindblad master equation. We show strong agreement between the simulations on real quantum hardware and exact solutions.
  arXiv  Detail & Related papers  (2024-10-14T17:13:47Z)
• Quantum Tunneling: From Theory to Error-Mitigated Quantum Simulation [49.1574468325115]
  This study presents the theoretical background and the hardware aware circuit implementation of a quantum tunneling simulation. We use error mitigation techniques (ZNE and REM) and multiprogramming of the quantum chip for solving the hardware under-utilization problem.
  arXiv  Detail & Related papers  (2024-04-10T14:27:07Z)
• 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)
• Simulating open quantum many-body systems using optimised circuits in digital quantum simulation [0.0]
  We study models in open quantum systems with Trotterisations for the modified Schr"odinger equation (MSSE) Minimising the leading error in MSSE enables to optimise the quantum circuits. We run the algorithm on the IBM Quantum devices, showing that the current machine is challenging to give quantitatively accurate time dynamics due to the noise.
  arXiv  Detail & Related papers  (2022-03-27T13:00:02Z)
• Efficient Quantum Simulation of Open Quantum System Dynamics on Noisy Quantum Computers [0.0]
  We show that quantum dissipative dynamics can be simulated efficiently across coherent-to-incoherent regimes. This work provides a new direction for quantum advantage in the NISQ era.
  arXiv  Detail & Related papers  (2021-06-24T10:37:37Z)
• Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale [57.84751206630535]
  We present a modernized version of the Quantum Virtual Machine (TNQVM) which serves as a quantum circuit simulation backend in the e-scale ACCelerator (XACC) framework. The new version is based on the general purpose, scalable network processing library, ExaTN, and provides multiple quantum circuit simulators. By combining the portable XACC quantum processors and the scalable ExaTN backend we introduce an end-to-end virtual development environment which can scale from laptops to future exascale platforms.
  arXiv  Detail & Related papers  (2021-04-21T13:26:42Z)
• Error mitigation and quantum-assisted simulation in the error corrected regime [77.34726150561087]
  A standard approach to quantum computing is based on the idea of promoting a classically simulable and fault-tolerant set of operations. We show how the addition of noisy magic resources allows one to boost classical quasiprobability simulations of a quantum circuit.
  arXiv  Detail & Related papers  (2021-03-12T20:58:41Z)
• On the learnability of quantum neural networks [132.1981461292324]
  We consider the learnability of the quantum neural network (QNN) built on the variational hybrid quantum-classical scheme. We show that if a concept can be efficiently learned by QNN, then it can also be effectively learned by QNN even with gate noise.
  arXiv  Detail & Related papers  (2020-07-24T06:34:34Z)
• 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.