Activate high contrast
To main content
Home of TU Delft
Research
Open Positions
Design and implementation of photonic routes for efficient delivery & collection of light from NV centers in diamond for biosensing
Design and setting up of optical probe station for characterisation of integrated/on-chip photonic components
Large scale integration of diamond cavity with Sn vacancy
Developing fabrication process recipe for deterministic creation of telecom color centers in commercial SOI wafers
Design photonic circuit for cavity enhanced quantum sensor network
Towards developing an effective yield prediction method for diamond based Quantum Photonic Integrated Circuits (QuPICs)
Application of deep learning (DL) methods on integrated photonics and/or quantum devices
Systematic review or meta-analysis of deep learning (DL) techniques and its integration into quantum physics applications
Planning and preparing experimental setup and data analysis for a dilution fridge
Heterogenous Quantum Device Integration: Pick and Place Design and Assembly
Design for Reliability (DfR) of 3D Integration Schemes for Quantum Computers
Design and fabrication of 1T1R (one transistor one ReRAM) crossbars for neuromorphic computing
Artificial Neural Network training based on memristors crossbar
RRAM-based ADC design for neuromorphic computing
Coherent photonic crossbar arrays for integrated artificial intelligence (AI) and machine learning (ML) accelerator system
Modular quantum photonics
Staff
Stein Fakkel
Publications
Education
Q&CE
QCAT
Search
Research
Open Positions
Menu openen
Design and implementation of photonic routes for efficient delivery & collection of light from NV centers in diamond for biosensing
Design and setting up of optical probe station for characterisation of integrated/on-chip photonic components
Large scale integration of diamond cavity with Sn vacancy
Developing fabrication process recipe for deterministic creation of telecom color centers in commercial SOI wafers
Design photonic circuit for cavity enhanced quantum sensor network
Towards developing an effective yield prediction method for diamond based Quantum Photonic Integrated Circuits (QuPICs)
Application of deep learning (DL) methods on integrated photonics and/or quantum devices
Systematic review or meta-analysis of deep learning (DL) techniques and its integration into quantum physics applications
Planning and preparing experimental setup and data analysis for a dilution fridge
Heterogenous Quantum Device Integration: Pick and Place Design and Assembly
Design for Reliability (DfR) of 3D Integration Schemes for Quantum Computers
Design and fabrication of 1T1R (one transistor one ReRAM) crossbars for neuromorphic computing
Artificial Neural Network training based on memristors crossbar
RRAM-based ADC design for neuromorphic computing
Coherent photonic crossbar arrays for integrated artificial intelligence (AI) and machine learning (ML) accelerator system
Modular quantum photonics
Staff
Menu sluiten
Stein Fakkel
Publications
Education
Q&CE
QCAT
socmed
facebook
twitter
instagram
youtube
linkedin
whatsapp
whatsapp
Nederlands
Activate high contrast
Close menu
Search
Close search
Quantum Integration Technology
Item 1 of 1
Quantum & Computer Engineering
Sections
Quantum Circuits, Architectures and Technology
Groups
Quantum Integration Technology
Staff
Academic Staff
Ryoichi Ishihara
PostDocs
Salahuddin Nur
PhD Students
Yannis Varveris
Alan Yu
Maurice van der Maas
Erbing Hua
MSc Students
Aryan Dubey
Tianhui Wang
Stein Fakkel
Tianyin Chen
BSc Students
Nikolaj Nitzsche
Aksel Tacettin
Home of TU Delft
Activate high contrast
Research
Open Positions
Design and implementation of photonic routes for efficient delivery & collection of light from NV centers in diamond for biosensing
Design and setting up of optical probe station for characterisation of integrated/on-chip photonic components
Large scale integration of diamond cavity with Sn vacancy
Developing fabrication process recipe for deterministic creation of telecom color centers in commercial SOI wafers
Design photonic circuit for cavity enhanced quantum sensor network
Towards developing an effective yield prediction method for diamond based Quantum Photonic Integrated Circuits (QuPICs)
Application of deep learning (DL) methods on integrated photonics and/or quantum devices
Systematic review or meta-analysis of deep learning (DL) techniques and its integration into quantum physics applications
Planning and preparing experimental setup and data analysis for a dilution fridge
Heterogenous Quantum Device Integration: Pick and Place Design and Assembly
Design for Reliability (DfR) of 3D Integration Schemes for Quantum Computers
Design and fabrication of 1T1R (one transistor one ReRAM) crossbars for neuromorphic computing
Artificial Neural Network training based on memristors crossbar
RRAM-based ADC design for neuromorphic computing
Coherent photonic crossbar arrays for integrated artificial intelligence (AI) and machine learning (ML) accelerator system
Modular quantum photonics
Staff
Stein Fakkel
Publications
Education
Q&CE
QCAT
Search
