Deep reinforcement learning for key distribution based on quantum repeaters

• URL: http://arxiv.org/abs/2207.09930v1
• Date: Wed, 20 Jul 2022 14:14:16 GMT
• Title: Deep reinforcement learning for key distribution based on quantum repeaters
• Authors: Simon Daniel Rei{\ss} and Peter van Loock
• Abstract summary: This work examines secret key rates of key distribution based on quantum repeaters. Deep reinforcement learning is used to search for optimal solutions for the memory storage time limits. An implementation of this approach is presented, achieving proof of concept of its validity.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This work examines secret key rates of key distribution based on quantum repeaters in a broad parameter space of the communication distance and coherence time of the quantum memories. As the first step in this task, a Markov decision process modeling the distribution of entangled quantum states via quantum repeaters is developed. Based on this model, a simulation is implemented, which is employed to determine secret key rates under naively controlled, limited memory storage times for a wide range of parameters. The complexity of the quantum state evolution in a multiple-segment quantum repeater chain motivates the use of deep reinforcement learning to search for optimal solutions for the memory storage time limits - the so-called memory cut-offs. The novel contribution in this work is to explore very general cut-off strategies which dynamically adapt to the state of the quantum repeater. An implementation of this approach is presented, with a particular focus on four-segment quantum repeaters, achieving proof of concept of its validity by finding exemplary solutions that outperform the naive strategies.

Related papers

• 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)
• Multimodal deep representation learning for quantum cross-platform verification [60.01590250213637]
  Cross-platform verification, a critical undertaking in the realm of early-stage quantum computing, endeavors to characterize the similarity of two imperfect quantum devices executing identical algorithms. We introduce an innovative multimodal learning approach, recognizing that the formalism of data in this task embodies two distinct modalities. We devise a multimodal neural network to independently extract knowledge from these modalities, followed by a fusion operation to create a comprehensive data representation.
  arXiv  Detail & Related papers  (2023-11-07T04:35:03Z)
• Near-Term Distributed Quantum Computation using Mean-Field Corrections and Auxiliary Qubits [77.04894470683776]
  We propose near-term distributed quantum computing that involve limited information transfer and conservative entanglement production. We build upon these concepts to produce an approximate circuit-cutting technique for the fragmented pre-training of variational quantum algorithms.
  arXiv  Detail & Related papers  (2023-09-11T18:00:00Z)
• Experimental Multi-state Quantum Discrimination in the Frequency Domain with Quantum Dot Light [40.96261204117952]
  In this work, we present the experimental realization of a protocol employing a time-multiplexing strategy to optimally discriminate among eight non-orthogonal states. The experiment was built on a custom-designed bulk optics analyser setup and single photons generated by a nearly deterministic solid-state source. Our work paves the way for more complex applications and delivers a novel approach towards high-dimensional quantum encoding and decoding operations.
  arXiv  Detail & Related papers  (2022-09-17T12:59:09Z)
• Exact rate analysis for quantum repeaters with imperfect memories and entanglement swapping as soon as possible [0.0]
  We present an exact rate analysis for a secret key that can be shared among two parties employing a linear quantum repeater chain. We consider additional tools and parameters such as memory cut-offs, multiplexing, initial state and swapping gate fidelities.
  arXiv  Detail & Related papers  (2022-03-19T12:55:56Z)
• Multicell Atomic Quantum Memory as a Hardware-Efficient Quantum Repeater Node [10.687357167527669]
  We report a compact and hardware-efficient realization of a quantum repeater node using a single atomic ensemble for multicell quantum memories. We achieve heralded asynchronous entanglement generation in two quantum repeater segments one after another and then an on-demand entanglement connection of these two repeater segments. This work provides a promising constituent for efficient realization of quantum repeaters for large-scale quantum networks.
  arXiv  Detail & Related papers  (2021-10-18T19:32:36Z)
• Quantum communication complexity beyond Bell nonlocality [87.70068711362255]
  Efficient distributed computing offers a scalable strategy for solving resource-demanding tasks. Quantum resources are well-suited to this task, offering clear strategies that can outperform classical counterparts. We prove that a new class of communication complexity tasks can be associated to Bell-like inequalities.
  arXiv  Detail & Related papers  (2021-06-11T18:00:09Z)
• Preparing random states and benchmarking with many-body quantum chaos [48.044162981804526]
  We show how to predict and experimentally observe the emergence of random state ensembles naturally under time-independent Hamiltonian dynamics. The observed random ensembles emerge from projective measurements and are intimately linked to universal correlations built up between subsystems of a larger quantum system. Our work has implications for understanding randomness in quantum dynamics, and enables applications of this concept in a wider context.
  arXiv  Detail & Related papers  (2021-03-05T08:32:43Z)
• Experimental demonstration of memory-enhanced scaling for entanglement connection of quantum repeater segments [13.78819436405072]
  The quantum repeater protocol is a promising approach to implement long-distance quantum communication and large-scale quantum networks. Here we report an experiment which realizes efficient connection of two quantum repeater segments via on-demand entanglement swapping. The experimental realization of entanglement connection of two quantum repeater segments with an efficient memory-enhanced scaling demonstrates a key advantage of the quantum repeater protocol.
  arXiv  Detail & Related papers  (2021-01-21T10:43:47Z)
• Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis [2.064612766965483]
  We propose variational quantum cloning (VQC), a machine learning based cryptanalysis algorithm. VQC allows an adversary to obtain optimal (approximate) cloning strategies with short depth quantum circuits. We derive attacks on two protocols as examples, based on quantum cloning and facilitated by VQC.
  arXiv  Detail & Related papers  (2020-12-21T15:28:09Z)
• Entanglement distribution with wavevector-multiplexed quantum memory [0.0]
  We show the WV-MUX-QM platform to provide quasi-deterministic entanglement generation over extended distances. We establish the entangled-bit (ebit) rate per number of employed nodes as a practical figure of merit.
  arXiv  Detail & Related papers  (2020-07-01T15:03:58Z)

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.