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Generation of quantum phases of matter and finding a maximum-weight independent set of unit-disk graphs using Rydberg atoms

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Physical Review A 2024年第2期110卷 022442页

作者： Ahmed M. Farouk I. I. Beterov Peng Xu I. I. Ryabtsev Faculty of Mathematics and Mechanics Laboratory of Nonlinear Resonant Processes and Laser Diagnostics Department of Mathematics Faculty of Science Faculty of Physics Department of Laser Physics Faculty of Physical Engineering Innovation Academy for Precision Measurement Science and Technology Department of Quantum Computing Wuhan Institute of Quantum Technology Wuhan 430206 China

Recent progress in quantum computing and quantum simulation of many-body systems with arrays of neutral atoms using Rydberg excitation has provided unforeseen opportunities towards computational advantage in solving various optimization problems. The problem of a maximum-weight independent set of unit-disk graphs is an example of an NP-hard optimization problem. It involves finding the largest set of vertices with the maximum sum of their weights for a graph which has edges connecting all pairs of vertices within a unit distance. This problem can be solved using quantum annealing with an array of interacting Rydberg atoms. For a particular graph, a spatial arrangement of atoms represents vertices of the graph, while the detuning from resonance at Rydberg excitation defines the weights of these vertices. The edges of the graph can be drawn according to the unit-disk criterion. Maximum-weight independent sets can be obtained by applying a variational quantum adiabatic algorithm. We consider driving the quantum system of interacting atoms to the many-body ground state using a nonlinear quasiadiabatic profile for sweeping the Rydberg detuning. We also propose using a quantum wire, which is a set of auxiliary atoms of a different chemical element, to mediate strong coupling between the remote vertices of the graph. We investigate this effect for different lengths of the quantum wire. We also investigate the quantum phases of matter realizing commensurate and incommensurate phases in one- and two-dimensional spatial arrangements of the atomic array.

关键词： quantum algorithms quantum computation quantum simulation

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LazyDB: I/O Optimization of Blockchain Storage System Based on Non-Volatile Memory 4

LazyDB: I/O Optimization of Blockchain Storage System Based ...

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4th International Conference on Information Science, Parallel and Distributed Systems, ISPDS 2023

作者： Liu, Yang Ge, Xuran Xiao, Nong Chen, Zhiguang Ou, Yang Institute for Quantum Information College of Computer National University of Defense Technology State Key Laboratory of High-Performance Computing Changsha China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9798350337181

For the blockchain storage system, this paper proposes an I/O optimization scheme based on non-volatile memory based on the storage performance requirements of the blockchain system application. This scheme adopts the key-value separation strategy. Due to the uncertain size of transaction data, by separating the 'key' and 'value' of transaction data, the inherent read-write amplification problem of the LSM-Tree structure is solved. The key-value separation strategy redesigns the storage system's space management and garbage collection mechanisms. Therefore, this chapter uses the byte-addressing characteristics of non-volatile memory to build a new data storage structure, a lazy compression mechanism, and a lazy garbage collection mechanism. On this basis, this paper builds a LazyDB database system for blockchain storage. To ensure the safe and reliable operation of the blockchain system, it can make full use of the storage medium and data characteristics, reducing the blockchain reading and writing process. The I/O overhead in the storage system improves the storage performance of the system. The experimental results show that compared with the most commonly used databases, such as LevelDB and RocksDB in the blockchain system, LazyDB effectively reduces the write amplification of the system and has higher read, write, and data update performance. © 2023 IEEE.

关键词： Blockchain

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FlyDB: Query Optimization of Blockchain System Based on Hybrid Storage Architecture 4

FlyDB: Query Optimization of Blockchain System Based on Hybr...

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4th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2023

作者： Liu, Yang Xie, Zehui Xiao, Nong Chen, Zhiguang Ou, Yang Institute for Quantum Information and State Key Laboratory of High-Performance Computing College of Computer National University of Defense Technology Changsha China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9798350314526

The hybrid storage architecture incorporates a blockchain dual-index structure optimized for byte addressing in non-volatile memory, low-latency features, and the large capacity of SSD. This paper presents a novel LSM-Tree architecture that leverages the byte-Addressing characteristics of non-volatile memory. The layers of the level0 and level1 are stored in non-volatile memory while employing a local key-value separation strategy to minimize read and write operations during compaction. A logic compression strategy is proposed to handle data compression tasks efficiently. A dual-index structure design is introduced for users to address the scope and multi-keyword queries in the blockchain system. During the compression process, keyword switching occurs during data reordering, ensuring that data within the same SSTable is rearranged according to user preferences. By effectively harnessing the advantages of each level in the hybrid storage architecture, this design significantly reduces both databases write time and the response time for complex queries. © 2023 IEEE.

关键词： Blockchain

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Parametric All-Optical Modulation on Chip

arXiv

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arXiv 2024年

作者： Li, Zhan Chen, Jiayang Ma, Zhaohui Tang, Chao Sua, Yong Meng Huang, Yu-Ping Physics Department Stevens Institute of Technology HobokenNJ07030 United States Center for Quantum Science and Engineering Stevens Institute of Technology HobokenNJ07030 United States Quantum Computing Inc HobokenNJ07030 United States

We demonstrate parametric all-optical modulation in a periodically-poled lithium niobate microring resonator on chip. It employs quantum Zeno blockade between two distinct waves, a signal and a pump, through their sum-frequency generation at a large per-photon efficiency of 8.2 MHz. With nanosecond pump pulses at 6 mW peak power, 85.7% modulation extinction is observed, achieving an efficiency improvement of over 30 times compared to previous implementations. With only 2 mW pump peak power, 43.0% modulation extinction is observed for a doubly-stronger signal at 4 mW. This demonstrates, for the first time, that optical transistors with cascadability and fan-out are possible with just parametric nonlinear optics. These results, together with inherent advantages in such photonic integrated circuits, open the door to scalable technology for all-optical and quantum information processing. © 2024, CC BY.

关键词： Nonlinear optics

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An Invertible All-optical Logic Gate on Chip

arXiv

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arXiv 2024年

We demonstrate an invertible all-optical gate on chip, with the roles of control and signal switchable by slightly adjusting their relative arrival time at the gate. It is based on quantum Zeno blockade driven by sum-frequency generation in a periodic-poled lithium niobate microring resonator. For two nearly-identical nanosecond pulses, the later arriving pulse is modulated by the earlier arriving one, resulting in 2.4 and 3.9 power extinction between the two, respectively, when their peak power is 1 mW and 2 mW. Our results, while to be improved and enriched, herald a new paradigm of logical gates and circuits for exotic applications. © 2024, CC BY.

关键词： Niobium compounds

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Degradability of Modified Landau-Streater Type Low-Noise quantum Channels in High Dimensions

arXiv

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arXiv 2024年

作者： Lo, Yun-Feng Lee, Yen-Chi Hsieh, Min-Hsiu Department of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA United States Quantum Computing Research Center Hon-Hai Research Institute Taipei Taiwan

This paper delves into the degradability of quantum channels, with a specific focus on high-dimensional extensions of qubit depolarizing channels in low-noise regimes. We build upon the foundation of η-approximate degradable channels, as established by Sutter et al. and Leditzky et al., to introduce and examine the Modified Landau-Streater (MLS) channels. These channels expand upon the qubit depolarizing and the recently proposed modified Werner-Holevo channels by Roofeh and Karimipour, extending them to higher-dimensional Hilbert spaces (with dimension d = 2j + 1, where j are positive half-integers). Our investigation centers on their conformity to the O(Ε2) degradability pattern, aligning with and extending Leditzky et al.’s findings in the d = 2 case. By replacing the SU(2) generators with SU(d) in our treatment, we may explore the potential inclusion of generalized Gell-Mann matrices in future research. Our results enhance the understanding of super-additivity in quantum channels within the low-noise regime and lay the groundwork for future explorations into conditions and structures that could lead to O(Ε2) degradability across a broader spectrum of quantum channels. © 2024, CC BY.

关键词： quantum entanglement

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Tuning 2D magnetism in Fe3+XGeTe2 films by element doping

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National Science Review 2022年第6期9卷 163-170页

作者： Shanshan Liu Zihan Li Ke Yang Enze Zhang Awadhesh Narayan Xiaoqian Zhang Jiayi Zhu Wenqing Liu Zhiming Liao Masaki Kudo Takaaki Toriyama Yunkun Yang Qiang Li Linfeng Ai Ce Huang Jiabao Sun Xiaojiao Guo Wenzhong Bao Qingsong Deng Yanhui Chen Lifeng Yin Jian Shen Xiaodong Han Syo Matsumura Jin Zou Yongbing Xu Xiaodong Xu Hua Wu Faxian Xiu State Key Laboratory of Surface Physics and Department of Physics Fudan University Institute for Nanoelectronic Devices and Quantum Computing Fudan University College of Science University of Shanghai for Science and Technology Laboratory for Computational Physical Sciences(MOE) Fudan University Solid State and Structural Chemistry Unit Indian Institute of Science School of Electronic Science and Engineering Nanjing University Department of Physics University of Washington Department of Electronic Engineering Royal Holloway University of London Materials Engineering The University of Queensland Beijing Key Laboratory of Microstructure and Property of Advanced Materials Institute of Microstructure and Property of Advanced Materials Beijing University of Technology The Ultramicroscopy Research Center Kyushu University State Key Laboratory of ASIC and System School of Microelectronics Fudan University Collaborative Innovation Center of Advanced Microstructures Department of Applied Quantum Physics and Nuclear Engineering Kyushu University Centre for Microscopy and Microanalysis The University of Queensland Shanghai Research Center for Quantum Sciences

Two-dimensional（2D） ferromagnetic materials have been discovered with tunable magnetism and orbital-driven nodal-line features. Controlling the 2D magnetism in exfoliated nanoflakes via electric/magnetic fields enables a boosted Curie temperature（TC） or phase transitions. One of the challenges, however, is the realization of high TC2D magnets that are tunable, robust and suitable for large scale fabrication. Here, we report molecular-beam epitaxy growth of wafer-scale Fe3+XGeTe2films with TCabove room temperature. By controlling the Fe composition in Fe3+XGeTe2, a continuously modulated TCin a broad range of 185–320 K has been achieved. This widely tunable TCis attributed to the doped interlayer Fe that provides a 40% enhancement around the optimal composition X = 2. We further fabricated magnetic tunneling junction device arrays that exhibit clear tunneling signals. Our results show an effective and reliable approach, i.e. element doping, to producing robust and tunable ferromagnetism beyond room temperature in a large-scale 2D Fe3+XGeTe2fashion.

关键词： 2D ferromagnetic material Fe3+XGeTe2 film element doping above room temperature TC tunability

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Boosting generation rate of squeezed single photon states by generalized photon subtraction

Boosting generation rate of squeezed single photon states by...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Tomoda, Hiroko Machinaga, Akihiro Takase, Kan Harada, Jun Kashiwazaki, Takahiro Umeki, Takeshi Miki, Shigehito Terai, Hirotaka Yabuno, Masahiro China, Fumihiro Okuno, Daichi Takeda, Shuntaro Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan NTT Device Technology Labs NTT Corporation 3-1 Morinosato Wakamiya Kanagawa Atsugi243-0198 Japan Advanced ICT Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi Kobe651-2492 Japan Graduate School of Engineering Kobe University 1-1 Rokko-dai Kobe Nada657-0013 Japan

We theoretically and experimentally proved that the generation rate of squeezed single photon states can be increased by generalized photon subtraction method. Our work will encourage universal and fault-tolerant cont... 详细信息

ISBN: (纸本)9781957171395

关键词： Squeezed light

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A Bibliometric Analysis on Fintech and Digital Finance Using Visualizing Network

A Bibliometric Analysis on Fintech and Digital Finance Using...

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Sustainable computing and Integrated Communication in Changing Landscape of AI (ICSCAI), International Conference on

作者： Aryan Upadhyay Vijay K. Yadav Vikas Tyagi Varya Agarwal School of Management & Commerce Dev Bhoomi Uttarakhand University Dehradun Lloyd Institute of Engineering & Technology Greater Noida Department of Basic computing Quantum University

ISBN: (数字)9798350355338

ISBN: (纸本)9798350355345

Financial technology (FinTech) the new innovation in technological and financial field that is revolutionizing and improving the automation of delivery and use of financial services. FinTech has attracted wide attention for the benefits that's come hand in hand with this new technology and has also gained wide recognition because of the increase in financial literacy over the last 5 years. From 2018 to 2022, the services of fintech shifted toward being consumer-oriented. This new industry now includes sectors like retail banking, investment management, education, and non-profit organizations, Fintech is also developing to adaptive to be used for crypto-currencies and NFT's. The paper will expand on the argument of taking a proactive role in adoption of FinTech and how it will benefit the an average individual.

关键词： Industries Hands Visualization Technological innovation Fintech Education Finance Organizations Cryptocurrency Investment

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First Photon Machine Learning

arXiv

引用

arXiv 2024年

作者： Li, Lili Kumar, Santosh Garikapati, Malvika Huang, Yu-Ping Department of Physics Stevens Institute of Technology HobokenNJ07030 United States Center for Quantum Science and Engineering Stevens Institute of Technology HobokenNJ07030 United States Quantum Computing Inc. HobokenNJ07030 United States

quantum techniques are expected to revolutionize how information is acquired, exchanged, and processed. Yet it has been a challenge to realize and measure their values in practical settings. We present first photon machine learning as a new paradigm of neural networks and establish the first unambiguous advantage of quantum effects for artificial intelligence. By extending the physics behind the double-slit experiment for quantum particles to a many-slit version, our experiment finds that a single photon can perform image recognition at around 30% fidelity, which beats by a large margin the theoretical limit of what a similar classical system can possibly achieve (about 24%). In this experiment, the entire neural network is implemented in sub-attojoule optics and the equivalent per-calculation energy cost is below 10-24joule, highlighting the prospects of quantum optical machine learning for unparalleled advantages in speed, capacity, and energy efficiency. Copyright © 2024, The Authors. All rights reserved.

关键词： Photons

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