Results 61 to 70 of about 60,468 (320)

Error suppression and error correction in adiabatic quantum computation: non-equilibrium dynamics

New Journal of Physics, 2013
While adiabatic quantum computing (AQC) has some robustness to noise and decoherence, it is widely believed that encoding, error suppression and error correction will be required to scale AQC to large problem sizes.
Mohan Sarovar, Kevin C Young
doaj   +1 more source

Concatenated LDPC-TCM coding for reliable storage in multi-level flash memories [PDF]

, 2014
In this paper, we present an efficient fault tolerant solution for multi-level per cell (MLC) flash memory that concatenates trellis coded modulation (TCM) with an outer low-density parity-check (LDPC) code. Traditional flash coding systems employ simple
Chen, T., Gong, P., Xu, Q.
core   +1 more source

A Closed‐Loop Hybrid Discovery System of Type I Photosensitizers for Hypoxic Tumor Therapy

Advanced Science, EarlyView.
The work developed a closed‐loop hybrid discovery system to rationally design and predict high‐performance Type I PSs for hypoxic tumor therapy. 664 Potential candidates are identified from a dataset through a support vector machine (SVM) classification model, and two candidates are experimentally verified as Type I PSs, which highlighted the potential
Xia Ling, Yixin Zhu, Min Li, Zongliang Xie, Lei Cao, Wentao Song, Dandan Wang, Duo Mao, Xiaonan Wang, Bin Liu   +9 more
wiley   +1 more source

An Efficient Analytical Approach for Error Assessment in Quantum Circuits

IEEE Access
One of the most important challenges in constructing large-scale quantum computers is handling the high error rates in quantum systems. Using error correction codes and frequently applying error correction on qubits is a common approach to compete with ...
Eesa Nikahd, Naser Mohammadzadeh, Zahra Shirmohammadi   +2 more
doaj   +1 more source

Monte Carlo analysis of critical phenomenon of the Ising model on memory stabilizer structures

, 2009
We calculate the critical temperature of the Ising model on a set of graphs representing a concatenated three-bit error-correction code. The graphs are derived from the stabilizer formalism used in quantum error correction.
C. Ricardo Viteri, D. A. Lidar, Kenneth R. Brown, M. A. Nielsen, M. E. J. Newman, Yu Tomita   +5 more
core   +1 more source

AI‐Driven Acceleration of Fluorescence Probe Discovery

Advanced Science, EarlyView.
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang, Yanbo Li, Xue Tian, Sen Yang, Ruina Luo, Cenxing Zhou, Yuxuan Liu, Jingying Hu, Sen Feng, Lu Gan, Chongzhao Ran, Kun‐Hsing Yu, Junhan Zhao, Xiao Han, Xuan Zhai, Yuntao Jia, Jiapei Dai, Xiyue Wang, Biyue Zhu   +18 more
wiley   +1 more source

Bounds on concatenated entanglement-assisted quantum error-correcting codes

Physical Review A
Close to the published version; 12 pages, 4 ...
Nihar Ranjan Dash, Sanjoy Dutta, R. Srikanth, Subhashish Banerjee   +3 more
openaire   +2 more sources

Designing of Bit-Interleaved Serially Concatenated Block-Coded Modulation With Iterative Decoding System for Power-Limited Channels

IEEE Access
In this paper, a Bit-Interleaved Serially Concatenated Block Coded Modulation with Iterative Decoding (BISCBCM-ID) system is proposed, employing a Serially Concatenated Block Code (SCBC) with an outer and an inner encoder, where the inner encoder is ...
Thi Hong Nhung Nguyen, Xuan Nghia Pham, The Cuong Dinh, Van Dung Hoang   +3 more
doaj   +1 more source

Optimal Linear Codes with a Local-Error-Correction Property

, 2012
Motivated by applications to distributed storage, Gopalan \textit{et al} recently introduced the interesting notion of information-symbol locality in a linear code.
Kamath, Govinda M., Kumar, P. Vijay, Lalitha, V., Prakash, N.   +3 more
core   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

Advanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan, Tao Luo, Yu Lin, Xiao‐Jun Wu, Wen‐Kang Shen, Jie Chen, Qian Lei, An‐Yuan Guo   +7 more
wiley   +1 more source