Results 51 to 60 of about 2,524,518 (253)
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Shadows of quantum machine learning
Quantum machine learning is often highlighted as one of the most promising practical applications for which quantum computers could provide a computational advantage.
Sofiene Jerbi +4 more
doaj +1 more source
A Survey on the Quantum Security of Block Cipher-Based Cryptography
The development of quantum computers represents an important advancement in computing, using quantum mechanics to address problems that were previously difficult to solve. This technological advancement poses a challenge for cryptographic systems.
S. E. Bootsma, M. De Vries
doaj +1 more source
Quantum algorithm for the multicollision problem [PDF]
23 pages, 2 figures and 2 tables; a significantly revised version of two conference papers (Asiacrypt 2017 [Cryptology ePrint Archive Report 2017/864] and PQCrypto 2019 [arXiv:1811.08097]) with additional time and space complexity analyses and ...
Akinori Hosoyamada +3 more
openaire +2 more sources
Hybrid quantum-classical algorithms and error mitigation [PDF]
These days, research groups such as Google, Microsoft, and Rigetti are working towards fabricating quantum devices which have hundreds to thousands of qubits. In recently proposed quantum algorithms, i.e. hybrid quantum-classical algorithms, such quantum
Benjamin, Simon C., Endo, Suguru
core +1 more source
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Parameterized quantum circuits are a key component of quantum machine learning models for regression, classification, and generative tasks. Quantum Circuit Born machines produce discrete distributions over bitstrings whose length is exactly the number of
Alice Barthe +4 more
doaj +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Non-orientable AdS3 and its holography
Known solutions to three-dimensional gravity with negative cosmological constant consist of either AdS3 or its orbifolds (or orientifolds). We geometrically derive a novel non-orientable AdS3 spacetime that is an orientifold of a spinor double cover of ...
Shivesh Pathak, Lucas Kocia Kovalsky
doaj +1 more source
Post-quantum cryptography Algorithm's standardization and performance analysis
-Quantum computer is no longer a hypothetical idea. It is the world's most important technology and there is a race among countries to get supremacy in quantum technology.
Manish Kumar
doaj +1 more source

