Results 91 to 100 of about 188,624 (267)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

Orthogonal Vector Computations

open access: yesEntropy, 2016
Quantum computation is the suitable orthogonal encoding of possibly holistic functional properties into state vectors, followed by a projective measurement.
Karl Svozil
doaj   +1 more source

Super-compact universal quantum logic gates with inverse-designed elements. [PDF]

open access: yesSci Adv, 2023
He L   +10 more
europepmc   +1 more source

Quantum Logic

open access: yes, 2001
We investigate some forms of quantum logic arising from the standard and the unsharp approach.
Chiara, M. L. Dalla, Giuntini, R.
openaire   +2 more sources

Towards Quantum Computational Logics

open access: yesInternational Journal of Theoretical Physics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LEDDA, ANTONIO, SERGIOLI, GIUSEPPE
openaire   +2 more sources

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Recognition of signals with different correlation matrixes with quantum logic

open access: yesLietuvos Matematikos Rinkinys, 2005
It is shown that the quantum logic can be used for recognition of random signals with different correlation operators. Rules of recognition use energy of the accepted signal.
Gregory Melnichenko
doaj   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
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

A Comparison of Implications in Orthomodular Quantum Logic—Morphological Analysis of Quantum Logic

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2012
Morphological operators are generalized to lattices as adjunction pairs (Serra, 1984; Ronse, 1990; Heijmans and Ronse, 1990; Heijmans, 1994). In particular, morphology for set lattices is applied to analyze logics through Kripke semantics (Bloch, 2002 ...
Mitsuhiko Fujio
doaj   +1 more source

High-fidelity photonic quantum logic gate based on near-optimal Rydberg single-photon source. [PDF]

open access: yesNat Commun, 2022
Shi S   +8 more
europepmc   +1 more source

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