Results 61 to 70 of about 2,043 (254)
Quantum Error Correction by Coding
11 pages RevTeX + 2 figures in postscript; Please see http://feynman.stanford.edu/qcomp/ for figures.
Chuang, I. L., Laflamme, R.
openaire +2 more sources
Energetic Offset in Organic Solar Cells‐ Importance, Confusion and Outlook
Energetic offsets in organic solar cells (OSCs) remain a subject of debate due to measurement‐ and lab‐dependent discrepancies. This Perspective clarifies the physical origins of these variations and identifies temperature‐dependent electro‐optical methods as a reliable approach to obtain consistent offset values.
Nakul Jain +5 more
wiley +1 more source
We estimate the number of physical qubits and execution time by decomposing an implementation of Shor’s algorithm for elliptic curve discrete logarithms into universal gate units at the logical level when surface codes are used.
Jinyoung Ha, Jonghyun Lee, Jun Heo
doaj +1 more source
Error Correction in Dynamical Codes [PDF]
We ask what is the general framework for a quantum error correcting code that is defined by a sequence of measurements. Recently, there has been much interest in Floquet codes and space-time codes.
Esther Xiaozhen Fu, Daniel Gottesman
doaj +1 more source
Quantum Error-Correcting Codes with a Covariant Encoding
Given some group $G$ of logical gates, for instance the Clifford group, what are the quantum encodings for which these logical gates can be implemented by simple physical operations, described by some physical representation of $G$? We study this question by constructing a general form of such encoding maps. For instance, we recover that the $[[5,1,3]]$
Denys, Aurélie, Leverrier, Anthony
openaire +4 more sources
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Variational graphical quantum error correction codes
Quantum error correction is essential for achieving fault-tolerant quantum computation. However, most typical quantum error-correcting codes are designed for generic noise models, which may fail to accurately capture the intricate noise characteristics ...
Yuguo Shao +7 more
doaj +1 more source
Single Quantum Deletion Error-Correcting Codes
1 ...
Ayumu, Nakayama, Manabu, Hagiwara
openaire +3 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

