Results 111 to 120 of about 40,499 (317)
Robust entanglement distribution via quantum network coding
Many protocols of quantum information processing, like quantum key distribution or measurement-based quantum computation, ‘consume’ entangled quantum states during their execution.
Michael Epping +2 more
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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 +4 more
wiley +1 more source
Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun +10 more
wiley +1 more source
Quantum subsystem codes, CFTs and their ℤ 2-gaugings
We construct Narain conformal field theories (CFTs) from quantum subsystem codes, a more comprehensive class of quantum error-correcting codes than quantum stabilizer codes, for qudit systems of prime dimensions.
Keiichi Ando +2 more
doaj +1 more source
Permutationally invariant codes for quantum error correction
A permutationally invariant n-bit code for quantum error correction can be realized as a subspace stabilized by the non-Abelian group S_n. The code corresponds to bases for the trivial representation, and all other irreducible representations, both those of higher dimension and orthogonal bases for the trivial representation, are available for error ...
Pollatsek, Harriet, Ruskai, Mary Beth
openaire +2 more sources
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Discovery of a Potent Fluorescence Polarization Probe for Identifying USP1 Allosteric Inhibitors
This study presents the first ubiquitin‐specific protease 1 (USP1) allosteric fluoroprobe and fluorescence polarization assay, enabling the differentiation of allosteric and catalytic site inhibitors. Further, a novel class of tetrahydroisoquinoline‐based USP1 inhibitors is designed, with compound 14a (USP1 IC50 = 29.9 nM) showing strong selectivity ...
Jiawei Cheng +12 more
wiley +1 more source
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Low-overhead defect-adaptive surface code with bandage-like super-stabilizers
To make practical quantum algorithms work, large-scale quantum processors protected by error-correcting codes are required to resist noise and ensure reliable computational outcomes. However, a major challenge arises from defects in processor fabrication,
Zuolin Wei +9 more
doaj +1 more source
The paper discusses possibilities for use of message authentication signatures schemes based on error-correcting coding which may be candidates for use in post-quantum cryptography.
Aleksandr Aleksandrovich Kuznetsov +2 more
doaj

