Article
Physics, Multidisciplinary
Eric I. Rosenthal, Christopher P. Anderson, Hannah C. Kleidermacher, Abigail J. Stein, Hope Lee, Jakob Grzesik, Giovanni Scuri, Alison E. Rugar, Daniel Riedel, Shahriar Aghaeimeibodi, Geun Ho Ahn, Kasper Van Gasse, Jelena Vuekovie
Summary: Researchers achieved high-fidelity microwave spin control by overcoming the limitations of tin-vacancy centers through the use of naturally strained centers. These results are significant for the application of tin-vacancy spins as building blocks for future quantum technologies.
Review
Optics
Shi-Hai Wei, Bo Jing, Xue-Ying Zhang, Jin-Yu Liao, Chen-Zhi Yuan, Bo-Yu Fan, Chen Lyu, Dian-Li Zhou, You Wang, Guang-Wei Deng, Hai-Zhi Song, Daniel Oblak, Guang-Can Guo, Qiang Zhou
Summary: Quantum networks are crucial for quantum information science, enabling applications in quantum communication, computation, metrology, and fundamental tests. The main challenge lies in distributing entangled flying qubits to separate nodes, where quantum interfaces or transducers map the entanglement onto fixed qubits. Extensive efforts over the past two decades have led to significant progress in entangling quantum nodes and building a global quantum network using various physical systems. This review discusses the development of quantum networks and experimental advancements, comparing the potential and merits of systems such as single atoms, cold atomic ensembles, trapped ions, diamonds with nitrogen-vacancy centers, and solid-state hosts doped with rare-earth ions.
LASER & PHOTONICS REVIEWS
(2022)
Article
Quantum Science & Technology
Xiaoliang Wu, Alexander Kolar, Joaquin Chung, Dong Jin, Tian Zhong, Rajkumar Kettimuthu, Martin Suchara
Summary: Recent advances in quantum information science have led to the development of a customizable quantum network simulator called SeQUeNCe, which consists of five modules for simulating quantum network prototypes and hardware technologies. Through simulations of photonic quantum networks, this work demonstrates the impact of key hardware parameters on quantum network throughput and the efficiency of memory redistribution on network capacity and throughput.
QUANTUM SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Zebo Yang, Maede Zolanvari, Raj Jain
Summary: Driven by rapid progress in quantum hardware, academia and industry have engaged in a fierce race for quantum technologies. Quantum computers have achieved hundreds of qubits and quantum annealers have reached thousands of qubits. This article provides an introduction to quantum computing and communications from a computer science perspective, reviewing key milestones and recent advances. It categorizes the key elements of a quantum Internet into four important issues: quantum computers, quantum networks, quantum cryptography, and quantum machine learning. Additionally, the article discusses barriers, research directions, and trends.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
Article
Computer Science, Artificial Intelligence
Tanjung Krisnanda, Sanjib Ghosh, Tomasz Paterek, Timothy C. H. Liew
Summary: The study introduces a versatile unified state preparation scheme based on a driven quantum network, which can be used to create various quantum states, including entangled states, W states, etc., and maintain high fidelity even under noisy conditions.
Article
Physics, Multidisciplinary
Si-Yi Chen, Gang Xu, Xiu-Bo Chen, Tao Shang, Yi-Xian Yang
Summary: This article proposes a scheme of quantum cooperative multicast in a hybrid topology network, which provides information aggregation and simultaneous multipoint transmission services. It is feasible for dynamic network expansion and shows great potential in distributed quantum networks.
FRONTIERS IN PHYSICS
(2022)
Article
Computer Science, Information Systems
Kun Fang, Jingtian Zhao, Xiufan Li, Yifei Li, Runyao Duan
Summary: The quantum internet is surpassing its classical counterpart in efficiency, security, and processing capability, leading to a global race to build scalable quantum networks. With joint efforts, quantum network development has rapidly advanced, bringing primitive quantum networks closer. This work aims to provide an up-to-date review of quantum networks from both theoretical and experimental perspectives, introducing a newly developed quantum network toolkit to facilitate exploration and evaluation of innovative ideas.
SCIENCE CHINA-INFORMATION SCIENCES
(2023)
Article
Computer Science, Theory & Methods
Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi
Summary: In recent years, there have been significant advancements in quantum computing in terms of resources and algorithm development, attracting considerable interest from the scientific community. This article introduces the basic concepts of quantum computations and explains the core functionalities of technologies implementing the Gate Model and Adiabatic Quantum Computing paradigms. Furthermore, it gathers, compares, and analyzes the current state-of-the-art regarding Quantum Perceptrons and Quantum Neural Networks implementations.
ACM COMPUTING SURVEYS
(2023)
Article
Physics, Multidisciplinary
Zheng-Da Li, Ya-Li Mao, Mirjam Weilenmann, Armin Tavakoli, Hu Chen, Lixin Feng, Sheng-Jun Yang, Marc-Olivier Renou, David Trillo, Thinh P. Le, Nicolas Gisin, Antonio Acin, Miguel Navascues, Zizhu Wang, Jingyun Fan
Summary: This article discusses the debate over the fundamental role of complex numbers in quantum theory and demonstrates the importance of complex numbers in entanglement swapping scenarios through experimental tests. The results show that real quantum theory cannot fully describe the phenomena in these scenarios.
PHYSICAL REVIEW LETTERS
(2022)
Article
Optics
Marc Bostelmann, Steffen Wilksen, Frederik Lohof, Christopher Gies
Summary: We consider photonic arrays made from quantum emitters in optically coupled microcavities as a platform for entanglement generation. These arrays offer a large degree of tunability and the possibility of site-selective optical excitation. Coherent pumping is used to drive transitions between vacuum and entangled states, both in a time-dependent manner and in a quantum bath engineering approach to create entanglement in the steady state. We present a numerical scheme to generalize the determination of excitation parameters for larger array sizes and different types of entangled states. This study is a step towards using coupled-cavity arrays as a hardware platform for novel quantum-photonic applications in quantum computing and quantum machine learning.
Article
Computer Science, Artificial Intelligence
Ruba Kharsa, Ahmed Bouridane, Abbes Amira
Summary: This paper provides a comprehensive literature review on quantum image classification. Researchers have started using quantum deep learning and quantum machine learning for image classification, but there is currently no comprehensive research literature. The paper analyzes the advances in this field by categorizing the studies, discussing limitations, summarizing important aspects of each research, and emphasizing gaps, challenges, and recommendations.
Article
Automation & Control Systems
Jin Zheng, Qing Gao, Jinhu Lu, Maciej Ogorzalek, Yu Pan, Yanxuan Lu
Summary: This paper presents a quantum convolutional neural network model that can be implemented on real quantum circuits. By designing three basic blocks, the framework of the quantum convolutional neural network is formulated, and the representation, learning, and optimization capacity of the model are demonstrated through simulation experiments on the MNIST dataset.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Optics
Yuhao Pan, Li Li, Xiaolong Zhou, Dongyu Huang, Zemin Shen, Jian Wang, Chuanfeng LI, Guangcan Guo
Summary: In this paper, a feedback and compensation scheme is developed to address the thermal effects of a high-power optical dipole trap (ODT) beam in a microcavity. The scheme allows for the simultaneous resonance of the optical fiber microcavity with locking and probe lasers, which is of great significance for cavity quantum electrodynamics (QED) experimental research.
Article
Physics, Multidisciplinary
Prateek Chawla, Adithi Ajith, C. M. Chandrashekar
Summary: This work presents a protocol that generates entanglement between directly connected nodes in a quantum network, enabling secure communication. Simulation results demonstrate the practical feasibility of this protocol for secure communication over any random network topology.
Article
Optics
Zhantong Qi, Yuanhua Li, Yiwen Huang, Juan Feng, Yuanlin Zheng, Xianfeng Chen
Summary: The study explores a QSDC network based on time-energy entanglement, with 15 users fully connected and sharing entangled states of high fidelity. Results show that QSDC can be maintained over 40 km of optical fiber with an information transmission rate above 1 Kbp/s.
LIGHT-SCIENCE & APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
P. A. M. Casares, M. A. Martin-Delgado
NEW JOURNAL OF PHYSICS
(2020)
Review
Education, Scientific Disciplines
Miguel A. Martin-Delgado
EUROPEAN JOURNAL OF PHYSICS
(2020)
Article
Physics, Multidisciplinary
P. A. M. Casares, M. A. Martin-Delgado
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2020)
Article
Quantum Science & Technology
P. A. M. Casares, Roberto Campos, M. A. Martin-Delgado
Summary: This study develops a quantum computational tool for predicting the 3D structure of proteins. Unlike previous quantum methods, this tool does not require a simplified model and instead utilizes the torsion angles of amino acids to achieve more realistic calculations.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Quantum Science & Technology
Amit Kumar Pal, Philipp Schindler, Alexander Erhard, Angel Rivas, Miguel-Angel Martin-Delgado, Rainer Blatt, Thomas Monz, Markus Mueller
Summary: Quantum error correction procedures are crucial for the reliable operation of large-scale quantum computers. However, there is currently no accepted framework for characterizing the behavior of logical qubits as quantum memories. This study demonstrates that traditional figures of merit for physical qubits do not accurately capture the dynamics of logical qubits, and that spatial noise correlations can lead to unexpected behavior. By using a suitable set of observables, the dynamics of logical qubits can be tracked and characterized.
Article
Physics, Multidisciplinary
Mark T. Mitchison, Angel Rivas, Miguel A. Martin-Delgado
Summary: We study the distribution of current in two-dimensional lattice systems under nonequilibrium conditions. Using a nonperturbative approach, we find that the edge currents in both bosonic and fermionic systems are robust against coupling and defects, and this robustness is not only due to topological effects at zero temperature but also results from dissipative symmetries.
PHYSICAL REVIEW LETTERS
(2022)
Article
Quantum Science & Technology
Pablo A. M. Casares, Roberto Campos, Miguel A. Martin-Delgado
Summary: In this article, the authors introduce TFermion, a library designed for estimating the T-gate cost of arbitrary molecules in quantum phase estimation algorithms. They provide examples of estimating the T-gate cost for simple molecules and compare the use of Gaussian and plane-wave basis functions with the same Taylorization algorithms.
Article
Astronomy & Astrophysics
Gabriel Escrig, Roberto Campos, Pablo A. M. Casares, M. A. Martin-Delgado
Summary: Since the first detection of a gravitational wave in 2015, the use of this innovative method for observing the Universe has seen continuous success. However, the current analysis techniques face a bottleneck due to their high computational requirements. This article explores how recent developments in quantum algorithms can overcome this obstacle.
CLASSICAL AND QUANTUM GRAVITY
(2023)
Article
Physics, Multidisciplinary
Hao Song, Janik Schoenmeier-Kromer, Ke Liu, Oscar Viyuela, Lode Pollet, M. A. Martin-Delgado
Summary: Fracton models provide novel gapped quantum phases that host immobile excitations and are beyond topological order. Optimal error thresholds for quantum error correcting codes based on fracton models are calculated, and higher thresholds are found compared to traditional topological codes. This highlights the potential of fracton phases as quantum memory platforms.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Multidisciplinary
Sergio A. Ortega, Miguel A. Martin-Delgado
Summary: The quantization of the PageRank algorithm has potential for a future quantum internet. A modification of the quantum PageRank algorithm is presented, introducing arbitrary phase rotations (APR) in the underlying Szegedy's quantum walk. Three different APR schemes with only one phase as a degree of freedom are defined. The behavior of these algorithms has been analyzed and a concrete phase value is chosen for application to complex scale-free graphs.
PHYSICAL REVIEW RESEARCH
(2023)
Article
Optics
Alain Delgado, Pablo A. M. Casares, Roberto dos Reis, Modjtaba Shokrian Zini, Roberto Campos, Norge Cruz-Hernandez, Arne-Christian Voigt, Angus Lowe, Soran Jahangiri, M. A. Martin-Delgado, Jonathan E. Mueller, Juan Miguel Arrazola
Summary: There is a need for new rechargeable battery technologies with higher energy storage, faster charging, and lower costs. Quantum computing is proposed as a potential solution to improve battery material simulations. This research provides a detailed explanation of how a quantum computer can be used to simulate key properties of a lithium-ion battery.
Article
Physics, Multidisciplinary
Sara Giordano, Miguel A. Martin-Delgado
Summary: We have developed an artificial intelligence algorithm using machine reinforcement learning (Q-learning) to create impressive four-qubit entangled states. By using a graphical tool called the state-link graph (SLG), we can discover the connections between specific entanglement features and quantum gates, allowing us to build the corresponding objective states.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Physics, Multidisciplinary
Mark T. Mitchison, Angel Rivas, Miguel A. Martin-Delgado
Summary: This study provides a setup to realize two-dimensional robust crosscurrents on a three-dimensional lattice and demonstrates their stability and the stability of protected boundary currents. The study also identifies the robustness of surface currents and the key role played by discrete symmetries.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Optics
S. Varona, M. A. Martin-Delgado
Article
Materials Science, Multidisciplinary
R. Jafari, Henrik Johannesson, A. Langari, M. A. Martin-Delgado
