Quantum error mitigation in quantum annealing by Jack Raymond, Mohammad H. Amin, Andrew D. King, Richard Harris, William Bernoudy, Andrew J. Berkley, Kelly Boothby, Anatoly Smirnov, Fabio Altomare, Michael Babcock, Catia Baron, Jake Connor, Martin H. Dehn, Colin Enderud, Emile Hoskinson, Shuiyuan Huang, Mark W. Johnson, Eric Ladizinsky, Trevor Lanting, Allison J. R. MacDonald, Gaelen Marsden, Reza Molavi, Travis Oh, Gabriel Poulin-Lamarre, Hugh Ramp, Chris Rich, Berta Trullas Clavera, Nicholas Tsai, Mark Volkmann, Jed D. Whittaker, Jason Yao, Niclas Heinsdorf, Nitin Kaushal, Alberto Nocera, Marcel Franz, Jacek Dziarmaga

“…Abstract Quantum error mitigation (QEM) presents a promising near-term approach to reducing errors when estimating expectation values in quantum computing. Here, we introduce QEM techniques tailored for quantum annealing, using zero-noise extrapolation (ZNE). …”
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First-principles prediction of anisotropic superconductivity in the nodal-line semi-metal TlTaSe2 by Mukhtar Lawan Adam, Ibrahim Buba Garba, Sulaiman Muhammad Gana, Bala Ismail Adamu, Abba Alhaji Bala, Abdulsalam Aji Suleiman, Ahmad Hamisu, Tijjani Hassan Darma, Auwal Musa, Abdulkadir S. Gidado

“…These findings underscore the significance of TlTaSe2 as a candidate for topological superconductivity and provide insights into how the interplay between anisotropy, electron-phonon coupling, and nontrivial band topology can be explored for quantum computing and spintronics applications.…”
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Wafer‐Scale Synthesis of Topological Insulator Sb2Te3 Thin Films by Ali Shafiei, Ahmad Fathi Hafshejani, Rehab M. G. Ahmed, Alessio Lamperti, Emanuele Longo, Lorenzo Locatelli, Christian Martella, Alessandro Molle, Graziella Tallarida, Carlo Zucchetti, Claudia Wiemer, Massimo Longo, Roberto Mantovan

“…This work provides a breakthrough for the technology scale‐up of these novel materials to be employed in future spintronic devices as well as applications in nanoelectronics, thermoelectrics, and quantum computing.…”
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A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments by Maryam Abbasi, Filipe Cardoso, Paulo Váz, José Silva, Pedro Martins

“…The emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve cryptography (ECC). …”
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Hydrogen‐Associated Filling‐Controlled Mottronics Within Thermodynamically Metastable Vanadium Dioxide by Xuanchi Zhou, Yongjie Jiao, Wentian Lu, Jinjian Guo, Xiaohui Yao, Jiahui Ji, Guowei Zhou, Huihui Ji, Zhe Yuan, Xiaohong Xu

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Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions by Zhenxue Dai, Chuanjun Zhan, Huichao Yin, Junjun Chen, Lulu Xu, Yuzhou Xia, Songlin Yang, Wei Chen, Mingxu Cao, Zhengyang Du, Xiaoying Zhang, Bicheng Yan, Yue Ma, Hao Wang, Farzad Moeini, Mohamad Reza Soltanian, Hung Vo Thanh, Kenneth C. Carroll

“…Additionally, exploring new computational paradigms, such as quantum computing, could provide revolutionary solutions for handling the computational challenges associated with training complex models. …”
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Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3 by Ziqiang Wang, Jing Zhang, Huili Chen, Xinyu Zhang, Kai Zhang, Feiyue Zhang, Yiluo Xie, Hongyu Ma, Linfeng Pan, Qiang Zhang, Min Lu, Hongtao Wang, Chaoqun Lian

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High-throughput theoretical exploration of multifunctional planar MBenes: Magnetism, topology, superconductivity, and anode applications by Xiaodong Lv, Ting Han, Rong Liu, Fengyu Li, Jian Gong, Zhongfang Chen

“…Overall, these findings underscore the multifunctional potential of MBenes, positioning them as transformative materials for quantum computing, spintronics, and energy storage applications.…”
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Ionic-electronic photodetector for vision assistance with in-sensor image processing by Zhipeng Zhong, Yezhao Zhuang, Xin Cheng, Jingtao Zheng, Qianyi Yang, Xiang Li, Yan Chen, Hong Shen, Tie Lin, Wu Shi, Xiangjian Meng, Junhao Chu, Hai Huang, Jianlu Wang

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Leveraging computer-aided drug design for the discovery of phytohormone analogs: A review by Yuling Guo, Ghulam Qanmber, Zhao Liu, Han Yang, Jun Li, Zhikun Yang, Zhongxian Li, Linlin Yang, Zuoren Yang

“…Nevertheless, emerging technologies such as quantum computing and artificial intelligence (AI) promise to enhance the precision and efficiency of predictive modeling and simulations, paving the way for breakthroughs in phytohormone research.…”
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Near-instantaneous Atmospheric Retrievals and Model Comparison with FASTER by Anna Lueber, Konstantin Karchev, Chloe Fisher, Matthias Heim, Roberto Trotta, Kevin Heng

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Quantum-Enhanced Predictive Degradation Pathway Optimization for PV Storage Systems: A Hybrid Quantum–Classical Approach for Maximizing Longevity and Efficiency by Dawei Wang, Shuang Zeng, Liyong Wang, Baoqun Zhang, Cheng Gong, Zhengguo Piao, Fuming Zheng

“…The findings establish a novel paradigm in degradation-aware energy optimization, showcasing the potential of quantum computing in enhancing the sustainability and resilience of PV storage systems. …”
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Detection and Manipulation of Interaction Between Magnetic DyPc2 Molecules and Superconducting Pb(111) Surface by Jie Li, Zhen Xu, Yang He, Qianxi Yang, Haoyang Pan, Yudi Wang, Xin Li, Huamei Chen, Yansong Wang, Wenjie Dong, Shimin Hou, Xiong Zhou, Qian Shen, Song Gao, Kai Wu, Yongfeng Wang, Yajie Zhang

“…Abstract Lanthanide double‐decker phthalocyanine (LnPc2) complexes are highly coveted for their prospective uses in ultrahigh‐density data storage and quantum computing. Notably, the quantum spin systems comprising these complexes and superconducting substrates exhibit unique quantum magnetic interactions. …”
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PZT optical memristors by Chenlei Li, Hongyan Yu, Tao Shu, Yueyang Zhang, Chengfeng Wen, Hengzhen Cao, Jin Xie, Hanwen Li, Zixu Xu, Gong Zhang, Zejie Yu, Huan Li, Liu Liu, Yaocheng Shi, Feng Qiu, Daoxin Dai

“…The present PZT optical memristors bridge the gap between high-speed photonics and non-volatile memory, offering transformative potential for high-speed and energy-efficient optical interconnects, quantum computing, neural networks, in-memory computing, and brain-like architecture.…”
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On-chip deterministic arbitrary-phase-controlling by Ma Rui, Li Chu, Yan Qiuchen, Wang Xinyi, Wang Ruiqi, Wang Yufei, Chen Yumeng, Li Yan, Lu Cuicui, Wang Jianwei, Hu Xiaoyong, Chan Che Ting, Gong Qihuang

“…Our work not only paves the way for fundamental research in chip-scale novel optical devices but also promotes the study of topological quantum computing.…”
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Quantum ensemble learning with a programmable superconducting processor by Jiachen Chen, Yaozu Wu, Zhen Yang, Shibo Xu, Xuan Ye, Daili Li, Ke Wang, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Zhengyi Cui, Aosai Zhang, Ning Wang, Yiren Zou, Tingting Li, Fanhao Shen, Jiarun Zhong, Zehang Bao, Zitian Zhu, Zixuan Song, Jinfeng Deng, Hang Dong, Pengfei Zhang, Wei Zhang, Hekang Li, Qiujiang Guo, Zhen Wang, Ying Li, Xiaoting Wang, Chao Song, H. Wang

“…Abstract Quantum machine learning is among the most exciting potential applications of quantum computing. However, the vulnerability of quantum information to environmental noises and the consequent high cost for realizing fault tolerance has impeded the quantum models from learning complex datasets. …”
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Long optical and electron spin coherence times for erbium ions in silicon by Ian R. Berkman, Alexey Lyasota, Gabriele G. de Boo, John G. Bartholomew, Shao Qi Lim, Brett C. Johnson, Jeffrey C. McCallum, Bin-Bin Xu, Shouyi Xie, Nikolay V. Abrosimov, Hans-Joachim Pohl, Rose L. Ahlefeldt, Matthew J. Sellars, Chunming Yin, Sven Rogge

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Tensor Network Enhanced Dynamic Multiproduct Formulas by Niall F. Robertson, Bibek Pokharel, Bryce Fuller, Eric Switzer, Oles Shtanko, Mirko Amico, Adam Byrne, Andrea D’Urbano, Salome Hayes-Shuptar, Albert Akhriev, Nathan Keenan, Sergey Bravyi, Sergiy Zhuk

“…Tensor networks and quantum computation are two of the most powerful tools for the simulation of quantum many-body systems. …”
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Averaging gate approximation error and performance of Unitary Coupled Cluster ansatz in Pre-FTQC Era by Kohdai Kuroiwa, Yuya O. Nakagawa

“…Fault-tolerant quantum computation (FTQC) is essential to implement quantum algorithms in a noise-resilient way, and thus to enjoy advantages of quantum computers even with presence of noise. …”
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Programmable quantum circuits in a large-scale photonic waveguide array by Yang Yang, Robert J. Chapman, Akram Youssry, Ben Haylock, Francesco Lenzini, Mirko Lobino, Alberto Peruzzo

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