921 search results for “quantum algorithms” in the Public website
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Webinars
On this page you will find a collection of presentations and videos of the Florence Nightingale Colloquia, seminars at the faculty and other event recordings hosted by the Data Science Research Programme.
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Structure and substructure in the stellar halo of the Milky Way
Promotor: K.H. Kuijken
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Computability of the étale Euler-Poincaré characteristic
Promotor: S.J. Edixhoven, L.D.J. Taelman
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Decompositions in algebra
We show that Kirchhoff ’s law of conservation holds for non-commutative graph flows if and only if the graph is planar. We generalize the theory of (Euclidean) lattices to infinite dimension and consider the ring of algebraic integers as such a lattice.
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Basis reduction for layered lattices
Promotor: H.W. Lenstra
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Links between cohomology and arithmetic
Promotor: S.J. Edixhoven
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Exploring deep learning for multimodal understanding
This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Detection of Archaeological Sites in High Resolution Satellite Images
In this project we develop algorithms to automatically detect a particular type of archaeological sites in satellite images of the Alps.
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Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: J.P. Abrahams, Co-Promotor: N.S. Pannu
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Development of highly accurate density functionals for H2 dissociation on transition metals
Metals surfaces form a group of effective catalysts for the reaction of small molecules such as hydrogen (H2).
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Stimulated Raman Adiabatic Passage in Optomechanics
In the thesis we demonstrated an 85% state transfer efficiency between two mechanical modes coupled to a common optical mode via stimulated Raman adiabatic passage (STIRAP) in the classical regime. We also showed possibilities to manipulate quantum states of the mechanical modes via STIRAP.
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Light particles lined up one after the other
In Leiden, light particles march into Wolfgang Löffler’s experiments one by one. His research focuses on acquiring the fundamental knowledge needed to develop quantum computers and networks.
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Chemical bond versus electromagnetic waves
Vibrating carbon monoxide molecules adsorbed at the surface of a salt crystal stop moving after a few milliseconds. Scientists now discovered this is dominantly due to the emission of electromagnetic waves. The role of the chemical bond at the surface thereby appears to be less important than previously…
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PhD student Bernard van Heck to travel to the Lindau Nobel Laureate Meetings
Leiden physicist Bernard van Heck is one of the seven young Dutch scientists who will be travelling to the 65th Lindau Nobel Laureate Meeting. Promising young scholars from all over the world have the opportunity to meet with Nobel Prize winners at this famous science conference.
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Towards chemically accurate simulation of molecule-surface reactions
This perspective addresses four challenges facing theorists whose aim is to make quantitatively accurate predictions for reactions of molecules on metal surfaces, and suggests ways of meeting these challenges, focusing on dissociative chemisorption reactions of H2, N2, and CH4.
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Ana Achúcarro Group - The Early Universe
We explore the particle physics and quantum world at the time of the big bang.
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3rd History and Philosophy of Physics in the Netherlands Workshop
Conference
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New scanning method turns objects inside out at high speed
What if you could watch a CT scan live, instead of analysing the images afterwards? If it is up to the Leiden mathematician Jan-Willem Buurlage, that will soon be a reality. He is developing methods to make the algorithms behind 3D scans faster. Quite a challenge: ‘Just like mathematicians, computers…
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Ahmed Mahfouz: 'The mystery of brain diseases, unravelled cell by cell'
Which brain cell does what, when Parkinson's disease arises? It won't be long before this jigsaw is solved piece by piece. Ahmed Mahfouz, computational biologist, combines bio-knowledge from Leiden with algorithms from Delft and is getting closer to finding the key.
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Data science
The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…
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Computational Drug Discovery
Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug discovery process. More specifically, topics include innovative treatments for cancer, selectivity modeling, translational research, allosteric modulation, drug resistance…
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Handbook of Natural Computing
Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.
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Livestream: Sean Carroll gives Ehrenfest Colloquium
On Wednesday September 26th, theoretical physicist Sean Carroll will give an Ehrenfest colloquium. It is part of a lecture series that has been running since 1912 and was founded by physicist Paul Ehrenfest.
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XAIPRE - Explainable AI For Predictive Maintenance
The project XAIPre (pronounce “Xyper”) aims to develop predictive maintenance system for the maritime industry using sensor technology and artificial intelligence. The project aims at developing Explainable Predictive Maintenance (XPdM) algorithms that do not only provide the engineers with a prediction…
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Proteochemometric modelling coupled to in silico target prediction
An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.
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NeuroSoC
NeuroSoC concentrates on multiprocessor systems on chip with in-memory neural processing units.
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Structured Parallel Programming for Monte Carlo Tree Search
The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.
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Data Science and Artificial Intelligence (BSc)
The focus of the Bachelor Data Science & Artificial Intelligence is on computer science, and its applications in Artificial Intelligence. You will receive a strong basis in mathematics, statistics and computer science, combined with advanced knowledge of machine learning, cognitive science, human-robot…
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Don't Blink: Detecting transiting exoplanets with MASCARA
This thesis describes the Multi-site All-Sky CAmeRA (MASCARA), which consists of two small robotic telescope designed to detect exoplanets around the brightest stars in the sky.
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Harmonic duality : from interval ratios and pitch distance to spectra and sensory dissonance
This dissertation derives from the development of tools for algorithmic composition which extract pitch materials from sound signals, analyzing them according to their timbral and harmonic properties, putting them into motion through diverse rhythmic and textural procedures.
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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Radicals in arithmetic
Promotor: Prof.dr. P. Stevenhagen, Co-promotor: Prof. dr. B. de Smit
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Real-time tomographic reconstruction
With tomography it is possible to reconstruct the interior of an object without destroying.
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The use of Deep Learning in the automated detection of archaeological objects in remotely sensed data
Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…
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Gibbs processes and applications
Gibbs processes, g-measures, fuzzy Gibbs states
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Een algemene normtheorie toegepast op open normen in het belastingrecht
On 14 May 2020, Pieter Rustenburg defended his thesis 'Een algemene normtheorie toegepast op open normen in het belastingrecht'. The doctoral research was supervised by Prof. A.O. Lubbers and Prof. J.L.M. Gribnau.
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Programme structure
This programme is aimed at students who have a strong interest in programming and computer science, as well as an interest in the cognitive psychology and artificial intelligence.
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About the programme
The MSc programme Physics offers 5 research-oriented specialisations where you can focus on Theoretical Physics, Quantum Matter and Optics, Biological and Soft Matter, Cosmology or Casimir pre-PhD. You can also combine Physics with education, management or science communication.
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Why Leiden University?
The Physics and Casimir pre-PhD specialisation is a programme to prepare you for pursuing a PhD-degree. The Casimir Research School is a joint programme offered by the Leiden Institute of Physics (LION) and the Kavli Institute of Nanoscience at Delft University of Technology.
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Awards and Grants 2021
An overview of awards and prizes granted to our staff and students in 2021, as well as special appointments at Leiden University and other institutions.
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Extrasolar Planet Detection Through Spatially Resolved Observations
Promotor: Prof. dr. I. Snellen, Co-Promotor: Dr. M. Kenworthy
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Awards and Grants 2022
An overview of awards and prizes granted to our staff and students in 2022, as well as special appointments at Leiden University and other institutions.
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Physics (MSc)
The master’s programme Physics at Leiden University offers a wide range of specialisations from theoretical research to cosmology. You will be trained for a career in research or for a more practical-oriented specialisation. The programme offers a wide choice of individual study paths that take into…
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Gravitation grants for three major research programmes
Three major research projects involving Leiden scientists have been awarded a grant from NWO’s Gravitation Programme. The projects are on innovation processes, organs-on-chips and quantum software.
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Computational Network Science Lab
The Leiden Computational Network Science Lab (CNS Lab) researches methods for knowledge discovery from real-world network data.
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Arakelov invariants of Belyi curves
Promotores: Bas Edixhoven, Jean-Benoit Bost, Co-promotor: Robin de Jong
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Reinforcement learning
The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.
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Inhibitor Selectivity: Profiling and Prediction
Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.