Results 61 to 70 of about 11,395 (193)
Peripheral Protein Quality Control as a Novel Drug Target for CFTR Stabilizer
Frontiers in Pharmacology, 2018 Conformationally defective cystic fibrosis transmembrane conductance regulator (CFTR) including rescued ΔF508-CFTR is rapidly eliminated from the plasma membrane (PM) even in the presence of a CFTR corrector and potentiator, limiting the therapeutic ...
Ryosuke Fukuda, Tsukasa Okiyoneda
doaj +1 more source
Alzheimer's &Dementia, Volume 21, Issue S1, December 2025.Abstract Background Individuals meeting neuropathological criteria for Alzheimer's disease (AD) can exhibit distinct clinical syndromes, suggesting region‐specific neuronal susceptibilities to tau pathology. Amnestic AD cases show greater tau burden in CA1, logopenic variant primary progressive aphasia (lvPPA) in the superior temporal gyrus (STG), and ...
Felipe Luiz Pereira +14 more
wiley +1 more source
RISQ-V: Tightly Coupled RISC-V Accelerators for Post-Quantum Cryptography
Transactions on Cryptographic Hardware and Embedded Systems, 2020 Empowering electronic devices to support Post-Quantum Cryptography (PQC) is a challenging task. PQC introduces new mathematical elements and operations which are usually not easy to implement on standard processors.
Tim Fritzmann +2 more
doaj +1 more source
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos +4 more
wiley +1 more source
A General Approach to Dropout in Quantum Neural Networks
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala +3 more
wiley +1 more source
Results from 2+1 flavours of SLiNC fermions [PDF]
, 2009 QCD results are presented for a 2+1 flavour fermion clover action (which we call the SLiNC action). A method of tuning the quark masses to their physical values is discussed.
Bietenholz, W. +14 more
core +1 more source
Optimality of private quantum channels
, 2007 We addressed the question of optimality of private quantum channels. We have shown that the Shannon entropy of the classical key necessary to securely transfer the quantum information is lower bounded by the entropy exchange of the private quantum ...
Ambainis A Mosca M Tapp A de Wolf R +17 more
core +1 more source
Statistical Complexity of Quantum Learning
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi +3 more
wiley +1 more source
Quantum‐Noise‐Driven Generative Diffusion Models
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.Diffusion Models (DMs) are today a very popular class of generative models for Machine Learning (ML), using a noisy dynamics to learn an unknown density probability of a finite set of samples in order to generate new synthetic data. This study proposes a method to generalize them into the quantum domain by introducing and investigating what are termed ...
Marco Parigi +2 more
wiley +1 more source
A Lightweight McEliece Cryptosystem Co-processor Design [PDF]
, 2019 Due to the rapid advances in the development of quantum computers and their susceptibility to errors, there is a renewed interest in error correction algorithms.
Agrawal, Rashmi +3 more
core +1 more source