367 zoekresultaten voor “quantum algorithms” in de Publieke website
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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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The power of one qubit in quantum simulation algorithms
Quantum computing is an emerging technology, which holds the potential to simulate complex quantum systems beyond the reach of classical numerical methods.Despite recent formidable advancements in quantum hardware, constructing a quantum computer capable of performing useful calculations remains challenging.In…
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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Algorithm selection and configuration for Noisy Intermediate Scale Quantum methods for industrial applications
Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.
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Methods to simulate fermions on quantum computers with hardware limitations
This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.
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Random walks on Arakelov class groups
The main topic of this PhD thesis is the Arakelov ray class group of a number field, an algebraic object that contains both the ideal class group structure and the unit group structure.
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…
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Applications of topology to Weyl semimetals and quantum computing
This thesis covers various applications of topology in condensed matter physics and quantum information.
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Strategies for braiding and ground state preparation in digital quantum hardware
With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.
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Novel system-inspired model-based quantum machine learning algorithm for prediction and generation of High-Energy Physics data
De huidige en toekomstige quantumcomputers vormen dezelfde uitdaging als de laser in zijn begindagen. In theorie werd voorspeld dat de laser een bron van zeer speciaal, zeer krachtig licht zou zijn. Maar in die tijd waren er geen duidelijke toepassingen voor. Critici van het idee noemden het een probleem…
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Quantum Matter and Optics
Onderzoeksgroepen in het Quantum Matter & Optics onderzoeksprogramma onderzoeken elektronische eigenschappen van interacties van materie en lichtmaterie, met de nadruk op quantuminformatie.
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Efficient and Automatic Tomographic Reconstruction Algorithms
In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.
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Algorithms for finite rings
Promotores: H.W. Lenstra, K. Belabas (University of Bordeaux)
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Accountable Artificial Intelligence: Holding Algorithms to Account
Artificial intelligence algorithms govern in subtle, yet fundamental ways, the way we live and are transforming our societies. The promise of efficient, low‐cost or ‘neutral’ solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public…
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Quantum computation with Majorana zero modes in superconducting circuits
Promotor: Prof.dr. C.W.J. Beenakker
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Optical cavities and quantum emitters
Optical cavities are useful tools to enhance the interaction between light and matter, which is important to make good quantum emitters. However, it turns out that the cavities themselves (without any quantum emitters) are already interesting objects to study.
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Cavity quantum electrodynamics with quantum dots in microcavities
Promotor: Prof.dr. D. Bouwmeester
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Cryptography from quantum uncertainty in the presence of quantum side information
Promotor: Ronald Cramer, Co-promotor: Serge Fehr
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Arend-Jan QuistWiskunde en Natuurwetenschappen
a.quist@liacs.leidenuniv.nl | +31 71 527 2727
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Quantum dots in microcavities: From single spins to engineered quantum states of light
A single self-assembled semiconductor quantum dot in a high-finesse optical microcavity - the subject of this thesis - is an interesting quantum-mechanical system for future quantum applications. For instance, this system allows trapping of an extra electron and thus can serve as a spin quantum memory,…
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De wereld is quantum
Quantummechanica voor iedereen
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On periodically driven quantum systems
Promotor: C. W. J. Beenakker, Co-promotor: J. K. Asboth
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Quantum local asymptotic normality and other questions of quantum statistics
Promotor: R. Gill, Co-promotor: P. Massart
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Quantum Leiden werkt aan de toekomst
Quantum, machine learning, AI en qubits. Quantum Leiden bundelt onderzoek en onderwijs van Universiteit Leiden naar supercomputers of quantumcomputers
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Algorithms for the description of molecular sequences
Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros
- Quantum Computers
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Nurbolat KenbayevWiskunde en Natuurwetenschappen
n.kenbayev@liacs.leidenuniv.nl | +31 71 527 2727
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Postdoc Automated Reasoning in Quantum Computing (0.8-1.0 FTE)
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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On continued fraction algorithms
Promotor: Robert Tijdeman, Co-promotor: Cornelis Kraaikamp
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Algorithm for Structural Variant Detection
Structural variants (SVs) are the hidden architecture of the human genome, and are critical for us to understand diseases, evolution, and so on.
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Knowledge extraction in the quantum random-oracle model
The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.
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Hydrodynamics and the quantum butterfly effect in Black Holes and large N quantum field theories
Why do black holes emit thermal radiation? And how does a closed quantum system thermalize?
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Quantum voor jou
Hoe quantum-ready ben jij? Want geloof het of niet, ook jouw toekomst is quantum. Nieuwe quantum-technologieën gaan onze samenleving meer beïnvloeden dan we ons nu realiseren. Hoe precies? Op deze pagina ontdek je meer over quantum.
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Quantum and Society
Wat weet het grote publiek over quantum en wat vindt men ervan? Ook daar denken onderzoekers binnen Quantum Leiden over na.
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Partners van Quantum Leiden
Bedrijven met wie Quantum Leiden samenwerkt: Shell, TotalEnergies, Google, Volkswagen en Qu&Co. En met de volgende overheden en publieke organisaties: CERN, ESA, SURF, Gemeente Leiden, Provincie Zuid-Holland, Quantum Delta NL en InnovationQuarter.
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Organisatie Quantum-onderzoek
De organisatie van het onderzoek binnen Quantum Leiden is in handen van onderstaande onderzoekers.
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Over Quantum Leiden
Wie zijn de mensen achter Quantum Leiden? Dat zijn natuurlijk de bevlogen en enthousiaste onderzoekers die nu keihard bezig zijn met onze quantumtoekomst. Maar vergeet ook niet hun voorgangers. En daarbij zitten onderzoekers van wereldfaam.
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Network flow algorithms for discrete tomography
Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele
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Quantum dot microcavity control of photon statistics
During my PhD research, I studied the photon statistics of light emitted by a microcavity that contains a single quantum dot (QD) on resonance.
- Quantum and Society
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Expansions of quantum group invariants
In my research, we developed a method to distinguish knots. A knot is a mathematical depiction of the everyday knot that occurs in ropes and cords.
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Quantum Information Science & Technology (MSc)
Quantum Information Science & Technology (QIST) encompasses the understanding, design, construction and investigation of quantum information processing systems, such as quantum computers, quantum communication networks, and quantum sensors.
- Quantum Networks and Sensing
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Novel detectors and algorithms for electron nano-crystallography
Promotor: Prof.dr. J.P. Abrahams, Prof.dr. M. van Heel
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Dynamics of coupled quantum systems
Thermodynamics is one of the founding scientific pillars that has helped us better understand heat engines, biology, ecosystems, and even black holes. While it fundamentally describes large systems by examining the bulk behavior of their constituents, it is anchored in the statistical equivalence of…
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Quantum Leiden onderzoekt de quantumtoekomst
Leiden is sterk in het ontwikkelen van algoritmen. Verder zijn quantumnetwerken en quantumsensing belangrijke onderzoeksthema's. Als ook onderwijs en communicatie over quantum.
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Sparsity-Based Algorithms for Inverse Problems
Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…
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Signatures of Majorana zero-modes in nanowires, quantum spin Hall edges, and quantum dots
Promotor: Prof.dr. C.W.J. Beenakker