Results 51 to 60 of about 1,446 (247)
Convolutional-Neural-Network-Based Hexagonal Quantum Error Correction Decoder
Topological quantum error-correcting codes are an important tool for realizing fault-tolerant quantum computers. Heavy hexagonal coding is a new class of quantum error-correcting coding that assigns physical and auxiliary qubits to the vertices and edges
Aoqing Li, Fan Li, Qidi Gan, Hongyang Ma
doaj +1 more source
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
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
Classical enhancement of quantum-error-correcting codes [PDF]
We present a general formalism for quantum error-correcting codes that encode both classical and quantum information (the EACQ formalism). This formalism unifies the entanglement-assisted formalism and classical error correction, and includes encoding, error correction, and decoding steps such that the encoded quantum and classical information can be ...
Kremsky, Isaac +2 more
openaire +2 more sources
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
Iterative Optimization of Quantum Error Correcting Codes [PDF]
5 pages, 2 figures, REVTeX 4; stability of algorithm ...
Reimpell, M., Werner, R. F.
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
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
2D Abrupt Nano‐Junctions Blending sp–sp2 Bonds on Atomically Precise Heterostructures
A lateral heterostructure between atomically precise sp–sp2$^2$ metalated graphdiyne and sp2$^2$ graphene nanoribbons is realized by on‐surface synthesis and investigated by STM and DFT. The impact of on‐surface synthesis byproducts on covalent junction formation yield is unveiled.
Alice Cartoceti +10 more
wiley +1 more source
Unitary Application of the Quantum Error Correction Codes [PDF]
Summary: For applying the perfect code to transmit quantum information over a noise channel, the standard protocol contains four steps: the encoding, the noise channel, the error-correction operation, and the decoding. In present work, we show that this protocol can be simplified.
You, Bo, Xu, Ke, Wu, Xiao-Hua
openaire +2 more sources

