Results 81 to 90 of about 2,524,518 (253)

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

Understanding the Quantum Computational Speed-up via De-quantisation [PDF]

Electronic Proceedings in Theoretical Computer Science, 2010
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

Two‐Photon Grayscale Lithography (2GL) of High Mechanical and Optical Quality 3D Silica Glass Microstructures

Advanced Functional Materials, EarlyView.
Two‐photon grayscale lithography (2GL) enables high‐speed and precise 3D printing of thermolyzed silica glass microstructures with optical‐grade surface quality, high quality factors, and mechanical strength utilizing a custom‐made pre‐glass resist based on polyhedral oligomeric silsesquioxane (POSS) modified with a high‐sensitivity Norrish type II ...
Jonathan L. G. Schneider, Jiajie Liang, Paul Somers, Martin Wegener, Jens Bauer   +4 more
wiley   +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

CUDA Quantum

, 2023
<p>CUDA Quantum is now available <a href="https://pypi.org/project/cuda-quantum/">on PyPI</a>! For the initial PyPI release, the NVIDIA multi-gpu and tensornet backends are not yet included. Check out our Docker images <a href="https:
The CUDA Quantum development team
core   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 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

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

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   +2 more sources

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source