Article
Engineering, Multidisciplinary
Xipeng Guo, Shaohui Yin, Chengsong Shu, Shuhao Wu, Jian Liu
Summary: Optical aspheric ultraprecision machining requires nanometer-scale on-machine measurement techniques. Small probe errors in the contact OMM process can seriously affect the OMM accuracy, reducing machining accuracy. A probe correction method based on the master ball is proposed to analyze the effects of probe errors on OMM results and establish an identification and correction model for probe errors. The effectiveness of this method is verified through OMM probe error correction measurement and error compensation machining experiments.
Article
Multidisciplinary Sciences
Kristoffer Sahlin, Paul Medvedev
Summary: The paper presents a novel computational method called isONcorrect for error correction in ONT cDNA sequencing data, capable of correcting reads at low sequencing depths. The method achieves a median accuracy of 98.9-99.6%, demonstrating the feasibility of cost-effective cDNA full transcript length sequencing for reference-free transcriptome analysis.
NATURE COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Mummadi Swathi, Bhawana Rudra
Summary: This paper discusses the concept of asymmetric quantum error correction (AQEC) and proposes an efficient approach for AQEC with increased fidelity to 85.89% and reduced circuit depth to 48%.
Article
Quantum Science & Technology
Michael R. Geller, Mingyu Sun
Summary: Measurement errors on near-term quantum computers can be partially corrected after a calibration step to improve performance. A new efficient method for multiqubit measurement error characterization and mitigation has been introduced, requiring classical processing of matrices and fewer measurements. This method has been demonstrated and validated on IBM Q processor with 4 and 8 superconducting qubits.
QUANTUM SCIENCE AND TECHNOLOGY
(2021)
Article
Materials Science, Multidisciplinary
Yunpeng Liu, Li Han, Huan Zhao, Xianping Liu
Summary: This study investigated the influences of cutting positions on the measurement accuracy of self-piercing riveted joint quality indicators, proposing evaluation and correction methods. It was found that the accuracy of interlock and bottom sheet thickness were affected by cutting positions, with offset distance and rotation angle causing errors. The proposed correction strategy effectively reduced the relative interlock error.
MATERIALS & DESIGN
(2021)
Article
Engineering, Electrical & Electronic
Kai Zhang, Mingdi Fan, Yong Yang, Zhongkui Zhu, Cristian Garcia, Jose Rodriguez
Summary: Measurement errors in current sensors lead to speed ripple, and an adaptive selected harmonic elimination (ASHE) algorithm is used to address these errors, effectively reducing the negative impact of CMEs. By utilizing the deterministic functional relationship of the SPMSM, an improved ASHE algorithm is proposed to compensate dq-axis CMEs, demonstrating effectiveness in reducing speed ripple and improving current performance without the need for additional sensors or complex calculations.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Physics, Multidisciplinary
Edward H. Chen, Theodore J. Yoder, Youngseok Kim, Neereja Sundaresan, Srikanth Srinivasan, Muyuan Li, Antonio D. Corcoles, Andrew W. Cross, Maika Takita
Summary: Arbitrarily long quantum computations require quantum memories that can be repeatedly measured without being corrupted. In this study, the researchers were able to preserve the state of a quantum memory by using flagged error events. Fast, midcircuit measurements and resets of the physical qubits were used to extract all error events. A perfect matching decoder was introduced for comparison with other error decoders, and it was calibrated using measurements containing up to size-four correlated events. The researchers observed logical errors per round that surpass the physical measurement error, demonstrating the potential for repeated logical measurements.
PHYSICAL REVIEW LETTERS
(2022)
Article
Environmental Sciences
Yijing Feng, Yaguang Wei, Brent A. Coull, Joel D. Schwartz
Summary: This study corrects the measurement error of PM2.5 predictions using stratified regression calibration and investigates its impact on the association between PM2.5 and mortality. The results show that using error-prone measures of PM2.5 underestimates the association between PM2.5 and all-cause mortality.
ENVIRONMENTAL RESEARCH
(2023)
Correction
Multidisciplinary Sciences
Kristoffer Sahlin, Paul Medvedev
Summary: The correction to the paper has been published at https://doi.org/10.1038/s41467-021-21424-9.
NATURE COMMUNICATIONS
(2021)
Article
Quantum Science & Technology
David Rodriguez Perez, Eliot Kapit
Summary: This study explores methods to find preferential parameter configurations for small logical qubits by examining three different cases. The use of pulse-reset cycle is shown to have significant advantages over numerically optimized, fixed parameter spaces in increasing logical state lifetimes.
QUANTUM SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Zhuojun Zheng, Jian Gao, Jianhua Mo, Lanyu Zhang, Qiaofen Zhang
Summary: A fast self-correction algorithm is proposed to reduce nonlinear phase errors in Phase-shifting profilometry (PSP) without additional projections or precalibration. By solving the captured fringe images' nonlinear response parameters, the algorithm can improve measurement accuracy and reliability in 3-D measurement.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Multidisciplinary
Guohui Li, Haonan Deng, Hong Yang
Summary: This paper proposes a new TFD prediction model based on CEEMDAN, NNe-tEn, NVMD, ARO-KELM, and EC algorithms to handle the complexity of TFD. The experimental results show that the proposed model outperforms the other six comparison models in terms of prediction accuracy.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Linda Nab, Maarten van Smeden, Ruth H. Keogh, Rolf H. H. Groenwold
Summary: Measurement error in regression models is common and can lead to bias in estimated associations. Methods for measurement error correction are available but underutilized, with the need for improved application and development of these methods to enhance estimation accuracy.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Multidisciplinary Sciences
Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
Summary: Subseasonal forecasting is crucial for water allocation, wildfire management, and disaster mitigation. However, current models suffer from errors in representing atmospheric dynamics and physics. To address this, we introduce an adaptive bias correction method that combines dynamical forecasts with observations using machine learning, leading to significant improvements in temperature and precipitation prediction skill.
NATURE COMMUNICATIONS
(2023)
Article
Statistics & Probability
Yun Ling, Martin Lysy, Ian Seim, Jay Newby, David B. Hill, Jeremy Cribb, M. Gregory Forest
Summary: The article introduces a novel strategy to filter high-frequency noise from single-particle tracking measurements and proposes a parametric estimator for the power-law coefficients of mean squared displacement (MSD). Results from analyses of experimental and simulated data suggest that this method performs well compared to other denoising procedures.
ANNALS OF APPLIED STATISTICS
(2022)
Article
Quantum Science & Technology
Clarice D. Aiello, D. D. Awschalom, Hannes Bernien, Tina Brower, Kenneth R. Brown, Todd A. Brun, Justin R. Caram, Eric Chitambar, Rosa Di Felice, Karina Montilla Edmonds, Michael F. J. Fox, Stephan Haas, Alexander W. Holleitner, Eric R. Hudson, Jeffrey H. Hunt, Robert Joynt, Scott Koziol, M. Larsen, H. J. Lewandowski, Doug T. McClure, Jens Palsberg, Gina Passante, Kristen L. Pudenz, Christopher J. K. Richardson, Jessica L. Rosenberg, R. S. Ross, Mark Saffman, M. Singh, David W. Steuerman, Chad Stark, Jos Thijssen, A. Nick Vamivakas, James D. Whitfield, Benjamin M. Zwickl
Summary: Interest in establishing dedicated quantum information science and engineering (QISE) education programs has significantly increased in recent years. These programs are complex, resource-intensive, and require collaboration with a variety of stakeholders. This manuscript outlines the status of eighteen post-secondary education programs in QISE, provides guidance for developing new programs, and encourages the development of a comprehensive strategic plan to maximize investments in QISE.
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
Multidisciplinary Sciences
T. M. Graham, Y. Song, J. Scott, C. Poole, L. Phuttitarn, K. Jooya, P. Eichler, X. Jiang, A. Marra, B. Grinkemeyer, M. Kwon, M. Ebert, J. Cherek, M. T. Lichtman, M. Gillette, J. Gilbert, D. Bowman, T. Ballance, C. Campbell, E. D. Dahl, O. Crawford, N. S. Blunt, B. Rogers, T. Noel, M. Saffman
Summary: Gate-model quantum computers promise to solve computational problems by utilizing neutral-atom hyperfine qubits and strong entangling interactions provided by Rydberg states. Several quantum algorithms have been successfully demonstrated on a programmable neutral-atom quantum computer.
Article
Optics
C. B. Young, A. Safari, P. Huft, J. Zhang, E. Oh, R. Chinnarasu, M. Saffman
Summary: The paper proposes a two-species architecture for remote entanglement of neutral atom quantum computers, one of which is used for atom-photon entanglement while the other provides local processing. By comparing two optical approaches, the predicted rates of remote entanglement generation under experimentally feasible parameters are discussed.
APPLIED PHYSICS B-LASERS AND OPTICS
(2022)
Article
Optics
T. M. Graham, E. Oh, M. Saffman
Summary: This paper presents a technique for rapid site-selective control of the quantum state of particles in a large array by combining a fast deflector and a relatively slow spatial light modulator (SLM). The use of SLMs for site-selective quantum state manipulation has been limited due to slow transition times. However, by partitioning the SLM into multiple segments and using a fast deflector, it is possible to substantially reduce the transition time and increase the number of quantum gates that can be performed.
Article
Quantum Science & Technology
Danylo Lykov, Jonathan Wurtz, Cody Poole, Mark Saffman, Tom Noel, Yuri Alexeev
Summary: We compared the performance of QAOA with Gurobi and MQLib solvers on solving the MaxCut problem. We found that a quantum device with a minimum noiseless sampling frequency and depth p can outperform classical algorithms. However, classical heuristic solvers can produce high-quality approximate solutions in linear time complexity, while a quantum device needs a depth p > 11 to match this quality for large graph sizes. Multi-shot QAOA is not efficient on large graphs, limiting the quantum advantage of QAOA on 3-regular graphs. Other problems may be more suitable for achieving quantum advantage on near-term quantum devices.
NPJ QUANTUM INFORMATION
(2023)
Article
Optics
X. Jiang, J. Scott, Mark Friesen, M. Saffman
Summary: The fidelity of gate operations on neutral atom qubits is limited by fluctuations of the laser drive. We quantify the sensitivity of quantum gate fidelities to laser phase and intensity noise and develop models to identify features observed in laser self-heterodyne noise spectra. By incorporating phase noise in numerical simulations, we validate an analytical theory based on a perturbative solution of a master equation and compute quantum gate fidelities for one-and two-photon Rabi oscillations, demonstrating the enhancement with the appropriate choice of Rabi frequency relative to spectral noise peaks. The influence of intensity noise with spectral support smaller than the Rabi frequency is also analyzed, establishing requirements on laser noise levels needed to achieve desired gate fidelities.
Article
Optics
P. Huft, Y. Song, T. M. Graham, K. Jooya, S. Deshpande, C. Fang, M. Kats, M. Saffman
Summary: In this paper, we present an approach for trapping cold atoms in a two-dimensional optical trap array generated without any active device. The design allows for the formation of arrays of bright or dark traps, or both simultaneously, and solves the problem of out-of-focus trapped atoms in periodic optical lattices. The experimental results demonstrate the successful creation of a 2D array of 1225 dark trap sites and the near perfect removal of Talbot plane traps using a high power yet low cost laser.
Article
Quantum Science & Technology
D. C. Gold, P. Huft, C. Young, A. Safari, T. G. Walker, M. Saffman, D. D. Yavuz
Summary: This work demonstrates that an optically thin ensemble of 11,000 radiating atoms spontaneously organizes to produce spatially coherent light through collective coupling of the individual emitters via Dicke superradiance and subradiance (as opposed to amplification through stimulated emission).
Article
Optics
L. C. G. Govia, C. Poole, M. Saffman, H. K. Krovi
Summary: This research presents a modification to the QAOA algorithm by adding additional variational parameters, resulting in high performance in solving the MaxCut problem at low depth, and explores its potential for solving other problems effectively.
Article
Nanoscience & Nanotechnology
Yuzhe Xiao, Zhaoning Yu, Raymond A. Wambold, Hongyan Mei, Garrett Hickman, Randall H. Goldsmith, Mark Saffman, Mikhail A. Kats
Summary: This study introduces optical bottle beams for trapping atoms and small particles with low-index, comparing traps obtained by three different methods using a figure of merit (FoM). By utilizing an optimization algorithm, optical bottle-beam traps based on Gaussian beam illuminating a metasurface are identified to have superior power efficiency. A numerical demonstration using a silicon metasurface for creating an optical bottle-beam trap is provided.
Article
Physics, Nuclear
Michael J. Cervia, A. B. Balantekin, S. N. Coppersmith, Calvin W. Johnson, Peter J. Love, C. Poole, K. Robbins, M. Saffman
Summary: Atomic nuclei serve as important laboratories for exploring new insights into the universe. Quantum computation is being applied to nuclear structure to address uncertainties, with a need for additional hardware improvements to enhance accuracy and competitiveness.
Article
Optics
F. Robicheaux, T. M. Graham, M. Saffman
Summary: This study quantifies the limits to Rydberg gate fidelity arising from entanglement between internal states and motion of neutral atoms due to photon absorption and re-emission. The Schrodinger equation is used to explore two cases, involving excitation and stimulated emission timings, as well as the effects of focused beam modes on gate fidelity. The decoherence can be expressed in simple analytic formulas considering factors such as photon momentum, atom temperature, harmonic oscillator frequency, laser waist, and atomic mass.
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.
Article
Optics
Jacques Van Damme, Xin Zheng, Mark Saffman, Maxim G. Vavilov, Shimon Kolkowitz
Summary: This study analyzes spin squeezing via Rydberg dressing in optical lattice clocks with random fractional filling, comparing clock stability in different lattice geometries and providing practical tools for experimental implementation. The results demonstrate that spin squeezing in one-, two-, and three-dimensional optical lattices using Rydberg dressing can significantly improve stability in the presence of random fractional filling.