Results 81 to 90 of about 41,319 (304)

Mimicking Silent Synapse Recruitment: A SiOx/Cu‐Pancake Memristive Device For Analog Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Electroforming‐free TiN/SiOx/Cu/SiOx/TiN memristive devices exploit pancake‐like Cu nanoparticles embedded in a SiOx double layer to create a heterogeneous Schottky‐barrier landscape. Under bias, oxygen‐vacancy redistribution progressively lowers local barriers and recruits initially inactive Cu‐PC pathways into a parallel conduction ensemble, enabling
Rouven Lamprecht, Ole Gronenberg, Sahitya Yarragolla, Tobias Gergs, Richard Marquardt, Victor Witte, Jürgen Carstensen, George Popkirov, Jan Trieschmann, Lorenz Kienle, Hermann Kohlstedt   +10 more
wiley   +1 more source

Deriving Three-Outcome Permutationally Invariant Bell Inequalities

Entropy
We present strategies to derive Bell inequalities valid for systems composed of many three-level parties. This scenario is formalized by a Bell experiment with N observers, each of which performs one out of two possible three-outcome measurements on ...
Albert Aloy, Guillem Müller-Rigat, Jordi Tura, Matteo Fadel   +3 more
doaj   +1 more source

Affinity‐Tuned Albumin Hitchhiking Extends the Bioorthogonal Capture Window in Pretargeting Radiotheranostics

Advanced Healthcare Materials, EarlyView.
Pharmacokinetic engineering of clickable radioligands was achieved via albumin hitchhiking approach within a pretargeted radiotheranostics delivery platform. This approach reduced rapid renal elimination, expanded bioorthogonal capture window, boosted tumor uptake by ∼3.5‐fold, and improved the tumor‐to‐liver ratio by ∼6‐fold.
Xie He, Nicholas L. Fletcher, Gayathri R. Ediriweera, Yifei Zhu, James Humphries, Christopher B. Howard, Jiazheng Wang, Craig A. Bell, Kristian Kempe, Kristofer J. Thurecht   +9 more
wiley   +1 more source

Quantum generative modeling for financial time series with temporal correlations

Machine Learning: Science and Technology
Quantum generative adversarial networks (QGANs) have been investigated as a method for generating synthetic data with the goal of augmenting training data sets for neural networks. This is especially relevant for financial time series, since we only ever
David Dechant, Eliot Schwander, Lucas van Drooge, Charles Moussa, Diego Garlaschelli, Vedran Dunjko, Jordi Tura   +6 more
doaj   +1 more source

Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs

, 2021
Many quantum algorithms have been proposed which are drastically more efficient that the best of the non-quantum algorithms for solving the same problems.
Galindo, Oscar, Kreinovich, Vladik, Kosheleva, Olga   +2 more
core   +1 more source

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno, Qiangrui Dong, Marco Post, Xin Meng, Cristiano Glessi, Nynke Marije Hettema, Nidas Brandsma, Sebbe Blokhuizen, Alejandro Castañeda Garcia, Srividya Ganapathy, Thieme Schmidt, Lars van Roemburg, Bing Xu, Chun‐Ting Cho, Liedewij Laan, Miao‐Ping Chien, Daan Brinks   +16 more
wiley   +1 more source

Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning

Machine Learning: Science and Technology
Quantum repeaters play a crucial role in the effective distribution of entanglement over long distances. The nearest-future type of quantum repeater requires two operations: entanglement generation across neighbouring repeaters and entanglement swapping ...
Jan Li, Tim Coopmans, Patrick Emonts, Kenneth Goodenough, Jordi Tura, Evert van Nieuwenburg   +5 more
doaj   +1 more source

Quantum Algorithms

Ubiquity
This essay was written for computer scientists seeking to understand quantum computing from an algorithmic point of view. It sacrifices rigorous physics so anyone with a computer science background can understand it. Note that it is about algorithms, not machines. This is intentional.
openaire   +1 more source

Quantum Computers and Quantum Algorithms. Part 2. Quantum Algorithms

Izvestiya of Saratov University. New Series. Series: Mathematics. Mechanics. Informatics, 2016
The paper discusses principles of construction for quantum algorithms and their main features. Distinction of quantum parallelism from classical methods of high-performance computing is shown. Quantum algorithms design strategy is presented based on quantum circuits.
openaire   +1 more source

Stochastic emulation of quantum algorithms

, 2022
Quantum algorithms profit from the interference of quantum states in an exponentially large Hilbert space and the fact that unitary transformations on that Hilbert space can be broken down to universal gates that act only on one or two qubits at the same
Ronny Müller, Daniel Braun
core   +1 more source