Results 181 to 190 of about 222,230 (325)

An integrated optical hardware for realization of quantum error correction operators. [PDF]

Sci Rep
Armaghani S, Rostami A.
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

SOME: Symmetric One-Hot Matching Elector -- A Lightweight Microsecond Decoder for Quantum Error Correction [PDF]

Xinyi Guo, Geguang Miao, Shinichi Nishizawa, Hiromitsu Awano, Shinji Kimura, Takashi Satō   +5 more
openalex   +1 more source

QECOOL: On-Line Quantum Error Correction with a Superconducting Decoder for Surface Code

, 2021
Yosuke Ueno, Masaaki Kondo, Masamitsu Tanaka, Yasunari Suzuki, Yutaka Tabuchi   +4 more
openalex   +1 more source

Quantum error correction of qudits beyond break-even. [PDF]

Nature
Brock BL, Singh S, Eickbusch A, Sivak VV, Ding AZ, Frunzio L, Girvin SM, Devoret MH.   +7 more
europepmc   +1 more source

Study of Free‐Space Optical Quantum Network: Review and Prospectives

Advanced Science, EarlyView.
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley   +1 more source

A Case for Elastic Quantum Error Correction Decoders

Satvik Maurya, Abtin Molavi, Aws Albarghouthi, Swamit Tannu   +3 more
openalex   +1 more source

Generalized number-phase lattice encoding of a bosonic mode for quantum error correction. [PDF]

Nat Commun
Hu DL, Cai W, Zou CL, Xiang ZL.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Component B: Evaluation of Heterogeneous Pre-Decoder Conditioning in Surface-Code Quantum Error Correction

Cody Robert Gleason
openalex   +1 more source