Article
Optics
Nan Li, Shunlong Luo, Yuan Sun
Summary: This article investigates the impact of quantum channels on correlations and introduces a quantum measure called coherence difference. By exploring and quantifying various channels, it is shown that product states and natural classical-quantum states can be characterized by local channels.
Article
Multidisciplinary Sciences
Christopher W. Lynn, Danielle S. Bassett
Summary: By modeling networks as information sources and compressing them using rate-distortion theory, the study investigates the compressibility and characteristics of networks. The results show that compressibility is positively correlated with the transitivity and degree heterogeneity of the networks.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Mechanics
Mamta Gautam, Nitesh Jaiswal, Ankit Gill, Tapobrata Sarkar
Summary: We study information theoretic quantities in models with three and four spin interactions, which show distinctive characteristics compared to their nearest neighbour counterparts. The Nielsen complexity (NC), Fubini-Study complexity (FSC), and entanglement entropy (EE) are quantified to measure these characteristics. The models have a rich phase structure, different from ones with nearest neighbour interactions, which results in different behavior of information theoretic quantities. For example, the derivative of NC does not diverge but shows a discontinuity near continuous phase transitions, and the FSC may be regular and continuous across such transitions. In addition, the EE exhibits novel discontinuity at first and second order quantum phase transitions.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2023)
Article
Quantum Science & Technology
Gabriele Lo Monaco, Luca Innocenti, Dario Cilluffo, Dario A. Chisholm, Salvatore Lorenzo, G. Massimo Palma
Summary: Quantum information scrambling (QIS), which is the local non-retrievability of information evolved through dynamic processes, is often quantified using entropic quantities such as the tripartite information. However, this approach has some issues due to its reliance on quantum mutual informations that do not accurately quantify correlations retrievable via measurements, as well as the specific methodology used to compute the tripartite information. By using accessible mutual informations and defining corresponding 'accessible tripartite informations', these issues can be overcome. Our findings lay the groundwork for a deeper understanding of QIS and open up new avenues for further research.
QUANTUM SCIENCE AND TECHNOLOGY
(2023)
Article
Physics, Multidisciplinary
Tomotaka Kuwahara, Keiji Saito
Summary: This study disproves fast scrambling in generic long-range interacting systems with alpha > D, where the OTOC shows a polynomial growth over time as long as alpha > D and the necessary scrambling time over a distance R is larger than t greater than or similar to R[(2 alpha-2D)/(2 alpha-D+1)].
PHYSICAL REVIEW LETTERS
(2021)
Article
Chemistry, Physical
Xingming Zeng, Lihua Wang, Yi Hu, Bolun Fang, Sadaf Bashir Khan, Shern-Long Lee
Summary: This study investigates the supramolecular assembling process of TPTC at the liquid-solid interface using both experimental and theoretical approaches. The Avrami index provides valuable information about the surface supramolecular crystalline framework, aiding in calculating crystal growth domains and distinguishing between homogeneous and heterogeneous crystal development. The JMA equation is utilized to evaluate the potential formation of close-packing crystals or porous networks of TPTC during its progression.
JOURNAL OF PHYSICAL CHEMISTRY C
(2021)
Article
Quantum Science & Technology
Poetri Sonya Tarabunga, Emanuele Tirrito, Titas Chanda, Marcello Dalmonte
Summary: We introduce a method to measure many-body magic in quantum systems based on a statistical exploration of Pauli strings via Markov chains. The method allows efficient extraction of magic contained in correlations between widely separated subsystems. The importance of magic in many-body systems is demonstrated through various discoveries, such as its association with conformal quantum criticality and its ability to identify phase transitions.
Article
Biochemistry & Molecular Biology
Evan Maltz, Roy Wollman
Summary: Quantifying the dependency between mRNA abundance and downstream cellular phenotypes is a fundamental problem in biology. In this study, multimodal single-cell measurement data was used to analyze the expression of 83 genes in the Ca2+ signaling network and the dynamic Ca2+ response. It was found that the overall expression levels of these genes explain approximately 60% of Ca2+ signal entropy, with each single gene contributing an average of 17% and showing a large degree of redundancy. The study also estimated the dependency between the size of a gene set and its information content, revealing that on average, a set of 53 genes contains 54% of the information about Ca2+ signaling.
MOLECULAR SYSTEMS BIOLOGY
(2022)
Article
Quantum Science & Technology
Siming Zhang, Minghao Wang, Bin Zhou
Summary: Quantum information masking encodes an arbitrary quantum state into a multipartite system so that the local subsystems have no knowledge about the original information. This study investigates the quantitative distribution of quantum information masking by considering quantum information maskers as quantum broadcasting channels and using Holevo's quantity as a measure. The necessary and sufficient conditions for perfect quantum information masking are derived, and the connection between quantum information masking and codes for quantum erasing channels is explored. It is also proposed that quantum information can reside in the correlations of redundant subsystems. This work contributes to a deeper understanding of the storage behavior of quantum information.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Multidisciplinary Sciences
Mateus F. B. Granha, Andre L. M. Vilela, Chao Wang, Kenric P. Nelson, H. Eugene Stanley
Summary: The study investigates financial market dynamics by introducing a heterogeneous agent-based opinion formation model. The researchers organize individuals in the financial market based on their trading strategy, distinguishing between noise traders and fundamentalists. The study finds that the local majority opinion influences the market behavior of noise traders, while the overall market behavior influences the decisions of fundamentalist agents. The model exhibits key qualitative and quantitative features of real-world markets, including the distribution of logarithmic returns, clustered volatility, and long-term return correlations.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Multidisciplinary Sciences
Mateus F. B. Granha, Andre L. M. Vilela, Chao Wang, Kenric P. Nelson, H. Eugene Stanley
Summary: We investigate financial market dynamics using a heterogeneous agent-based opinion formation model. The model organizes individuals in the market based on their trading strategies and considers the interactions between noise traders and fundamentalists. Results show that the model exhibits key features of real-world markets, such as fat-tailed distribution of logarithmic returns, clustered volatility, and long-term return correlation.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Editorial Material
Physics, Multidisciplinary
Rozhin Yousefjani, Xingjian He, Abolfazl Bayat
Summary: In contrast to interferometry-based quantum sensing, quantum many-body probes exploit interparticle interactions to achieve quantum-enhanced sensitivity. This study investigates the impact of long-range interaction on the performance of Stark quantum probes at various filling factors. The results show that long-range interaction affects the sensitivity of the probe, while low filling factors lead to better precision for measuring weak gradient fields.
Article
Computer Science, Artificial Intelligence
Xiaojiang Yang, Junchi Yan, Yu Cheng, Yizhe Zhang
Summary: Deep clustering is a method that uses deep neural networks for joint representation learning and clustering. Existing methods can be categorized into discriminative and generative methods. While generative methods have the advantage of estimating the latent distribution of clusters, they still perform worse than discriminative methods. This could be due to the difficulty of separating the distributions of different clusters in the data space. To address this issue, we propose a model that integrates a hierarchical generative adversarial network and mutual information maximization. Our approach significantly outperforms other generative models for deep clustering on public benchmarks.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Optics
Yuan Sun, Nan Li, Shunlong Luo
Summary: The paper proposes a family of coherence measures for states relative to quantum channels based on metric-adjusted skew information. The basic properties of these measures, such as unitary covariance, convexity, and monotonicity, are revealed. The coherence measures are evaluated for various prototypical quantum channels and compared with relative entropy of coherence. This provides a general approach to studying coherence of states relative to quantum channels, capturing decoherence and asymmetry caused by quantum channels.
Article
Physics, Multidisciplinary
Alfonso Delgado-Bonal, Alvaro Garcia Lopez
Summary: Currency markets are international networks open all day without supervision, where the value is determined by central bank decisions and speculator behavior. This study quantitatively analyzes the impact of decisions on system complexity and predictability, showing that forex market is more predictable on an hourly scale and variance is easier to predict for longer time frames.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Quantum Science & Technology
Logan E. Hillberry, Matthew T. Jones, David L. Vargas, Patrick Ra, Nicole Yunger Halpern, Ning Bao, Simone Notarnicola, Simone Montangero, Lincoln D. Carr
Summary: Cellular automata are classical bits that interact and display diverse emergent behaviors; quantum cellular automata (QCA) can exhibit complexity by following 'Goldilocks rules' that balance activity and stasis. These rules generate robust dynamical features, network structure, and persistent entropy fluctuations.
QUANTUM SCIENCE AND TECHNOLOGY
(2021)
Article
Education, Scientific Disciplines
Abraham Asfaw, Alexandre Blais, Kenneth R. Brown, Jonathan Candelaria, Christopher Cantwell, Lincoln D. Carr, Joshua Combes, Dripto M. Debroy, John M. Donohue, Sophia E. Economou, Emily Edwards, Michael F. J. Fox, Steven M. Girvin, Alan Ho, Hilary M. Hurst, Zubin Jacob, Blake R. Johnson, Ezekiel Johnston-Halperin, Robert Joynt, Eliot Kapit, Judith Klein-Seetharaman, Martin Laforest, H. J. Lewandowski, Theresa W. Lynn, Corey Rae H. McRae, Celia Merzbacher, Spyridon Michalakis, Prineha Narang, William D. Oliver, Jens Palsberg, David P. Pappas, Michael G. Raymer, David J. Reilly, Mark Saffman, Thomas A. Searles, Jeffrey H. Shapiro, Chandralekha Singh
Summary: The paper provides a roadmap for constructing a quantum engineering education program to meet the workforce needs of the United States and international community. Through a workshop and drawing on best practices, the researchers make specific findings and recommendations, including the design of a first quantum engineering course accessible to all STEM students and the education and training methods for producing quantum-proficient engineers.
IEEE TRANSACTIONS ON EDUCATION
(2022)
Article
Physics, Multidisciplinary
Justin Q. Anderson, P. A. Praveen Janantha, Diego A. Alcala, Mingzhong Wu, Lincoln D. Carr
Summary: We report the experimental verification of cubic-quintic complex Ginzburg-Landau (CQCGL) physics in a single driven, damped system. Different types of complex dynamical behavior and pattern formation are observed, including periodic breathing, complex recurrence, spontaneous spatial shifting, and intermittency. These behaviors are observed in self-generated spin wave envelopes circulating within a dispersive, nonlinear yttrium iron garnet waveguide. The stable and long-lasting nature of these behaviors makes them promising for technological applications.
NEW JOURNAL OF PHYSICS
(2022)
Article
Optics
Zachary C. Coleman, Lincoln D. Carr
Summary: We obtained the exact analytical solution for a continuously driven qutrit in different configurations, and calculated the linear susceptibility in each system. We identified regimes of transient gain without inversion and identified parameter values for specific effects such as superluminal, vanishing, and negative group velocity for the probe field.
JOURNAL OF PHYSICS B-ATOMIC MOLECULAR AND OPTICAL PHYSICS
(2022)
Article
Physics, Multidisciplinary
Mark J. Ablowitz, Joel B. Been, Lincoln D. Carr
Summary: This article presents a new class of integrable fractional nonlinear evolution equations that describe dispersive transport in fractional media. These equations can be constructed from nonlinear integrable equations using a widely generalizable mathematical process and have been applied to fractional extensions of the Korteweg-deVries and nonlinear Schrodinger equations.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Multidisciplinary
Mark J. Ablowitz, Joel B. Been, Lincoln D. Carr
Summary: The inverse scattering transform allows explicit construction of solutions to many physically significant nonlinear wave equations, and can be extended to fractional nonlinear evolution equations characterized by anomalous dispersion. Using symmetries present in the linear scattering problem, these equations can be connected with a scalar family of nonlinear evolution equations, of which fractional mKdV, fsineG, and fsinhG are special cases.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Multidisciplinary Sciences
Eric B. Jones, Logan E. Hillberry, Matthew T. Jones, Mina Fasihi, Pedram Roushan, Zhang Jiang, Alan Ho, Charles Neill, Eric Ostby, Peter Graf, Eliot Kapit, Lincoln D. Carr
Summary: This study demonstrates the implementation of Quantum Cellular Automata (QCA) on a digital quantum processor, simulating a one-dimensional Goldilocks rule on chains of superconducting qubits. The results show the formation of small-world mutual information networks and provide measurements of population dynamics and complex network measures. These findings contribute to the understanding of complexity in quantum systems.
NATURE COMMUNICATIONS
(2022)
Article
Acoustics
Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin
Summary: We propose a compressive sampling method for reconstructing acoustic fields based on field measurements on a pre-defined spherical grid. This method establishes the relations between signal sparsity, measurement number, and reconstruction accuracy. In comparison to traditional methods, the proposed method uses equiangular grid sampling and transforms the reconstruction problem into a multi-dimensional Fourier domain problem. Experimental results show that this method outperforms classical Nyquist sampling and requires fewer measurements.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2022)
Article
Physics, Multidisciplinary
Mark J. Ablowitz, Joel B. Been, Lincoln D. Carr
Summary: In this manuscript, a new fractional integrable discrete nonlinear Schrodinger equation is discovered and linearized. Special soliton solutions are found and compared with the closely related fractional averaged discrete nonlinear Schrodinger equation, showing similar behavior for positive fractional parameter and small amplitude waves.
Article
Education & Educational Research
Nathan Crossette, Lincoln D. Carr, Bethany R. Wilcox
Summary: Social network analysis (SNA) was used to quantitatively study student collaboration in three courses during the COVID-19 pandemic. Results varied widely between the courses, with strong correlations between centrality measures and performance in the remote course at the Colorado School of Mines, weaker correlations in the two hybrid courses at the University of Colorado Boulder, and nearly no correlations in one of the courses. The study also investigated the effect of missing nodes on correlations and found that the measured correlations were not spurious.
PHYSICAL REVIEW PHYSICS EDUCATION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin
Summary: In this paper, we prove a compressive sensing guarantee on the rotation group by defining Slepian functions on a measurement sub-domain and transforming the inverse problem to the Slepian functions. By requiring measurements on a select-able sub-domain, our approach provides higher accuracy and reduces the number of measurements compared to other methods using Wigner D-functions. Numerical examples demonstrate the superiority of our method in reconstruction quality.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Materials Science, Multidisciplinary
Arya Dhar, Daniel Jaschke, Lincoln D. Carr
Summary: The bilinear-biquadratic model is a promising candidate for studying spin-1 systems and designing quantum simulators based on its underlying Hamiltonian. It contains various phases, including the valuable and exotic Haldane phase. We investigate the Kibble-Zurek physics of linear quenches into the Haldane phase and propose ideal quench protocols to minimize defects in the final state.
Article
Mathematics, Interdisciplinary Applications
Bhuvanesh Sundar, Mattia Walschaers, Valentina Parigi, Lincoln D. Carr
Summary: The study focuses on investigating the ground states of spin models defined on networks and their responses to network attacks, quantifying complexity and responses through calculating distributions of network measures. The emergent networks in the ground state do not meet the usual criteria for complexity, with attacks rescaling properties by a constant factor. The findings suggest that complex spin networks are not more robust to attacks than non-complex spin networks, contrary to classical networks.
JOURNAL OF PHYSICS-COMPLEXITY
(2021)
Article
Quantum Science & Technology
Yuri Alexeev, Dave Bacon, Kenneth R. Brown, Robert Calderbank, Lincoln D. Carr, Frederic T. Chong, Brian DeMarco, Dirk Englund, Edward Farhi, Bill Fefferman, Alexey Gorshkov, Andrew Houck, Jungsang Kim, Shelby Kimmel, Michael Lange, Seth Lloyd, Mikhail D. Lukin, Dmitri Maslov, Peter Maunz, Christopher Monroe, John Preskill, Martin Roetteler, Martin J. Savage, Jeff Thompson
Summary: The development of quantum computers and the discovery of scientific applications should be considered together by co-designing full-stack quantum computer systems and applications to accelerate their development. In the next 2-10 years, quantum computers for science face significant challenges and opportunities.
Article
Quantum Science & Technology
Ehud Altman, Kenneth R. Brown, Giuseppe Carleo, Lincoln D. Carr, Eugene Demler, Cheng Chin, Brian DeMarco, Sophia E. Economou, Mark A. Eriksson, Kai-Mei C. Fu, Markus Greiner, Kaden R. A. Hazzard, Randall G. Hulet, Alicia J. Kollar, Benjamin L. Lev, Mikhail D. Lukin, Ruichao Ma, Xiao Mi, Shashank Misra, Christopher Monroe, Kater Murch, Zaira Nazario, Kang-Kuen Ni, Andrew C. Potter, Pedram Roushan, Mark Saffman, Monika Schleier-Smith, Irfan Siddiqi, Raymond Simmonds, Meenakshi Singh, I. B. Spielman, Kristan Temme, David S. Weiss, Jelena Vuckovic, Vladan Vuletic, Jun Ye, Martin Zwierlein
Summary: Quantum simulators are a rapidly developing technology that utilizes entanglement and many-particle behavior to explore and solve scientific, engineering, and computational problems. With over 300 quantum simulators in operation worldwide, recent advances promise a golden age of quantum simulators that have the potential to address societal challenges and draw from various fields of study. Investment in a national quantum simulator program is seen as crucial to advancing this field and realizing practical applications of quantum machines.
