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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
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Research
Open Positions
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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
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Stein Fakkel
Publications
Education
Q&CE
QCAT
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Quantum & Computer Engineering
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Quantum Circuits, Architectures and Technology
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Quantum Integration Technology
Staff
Stein Fakkel
Home of TU Delft
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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
