Results 61 to 70 of about 41,319 (304)
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
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
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
A comprehensive review of post-quantum cryptography: Challenges and advances [PDF]
One of the most crucial measures to maintain data security is the use of cryptography schemes and digital signatures built upon cryptographic algorithms.
Seyed M. Hosseini, Hossein Pilaram
doaj +1 more source
Understanding the Quantum Computational Speed-up via De-quantisation [PDF]
While it seems possible that quantum computers may allow for algorithms offering a computational speed-up over classical algorithms for some problems, the issue is poorly understood.
Cristian S. Calude, Alastair A. Abbott
doaj +1 more source
A review of procedures to evolve quantum algorithms [PDF]
There exist quantum algorithms that are more efficient than their classical counterparts; such algorithms were invented by Shor in 1994 and then Grover in 1996.
Gepp, Adrian +3 more
core +1 more source
Quantum algorithms for machine learning and optimization [PDF]
The theories of optimization and machine learning answer foundational questions in computer science and lead to new algorithms for practical applications.
Li, Tongyang
core +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 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
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source

