Forwarded from Quantum Admissions
🎓 Phd and Postdoctoral position
🔎 Quantum and classical computing with photons
🏛 TU Berlin
🌎 Germany
👤 Dr. Janik Wolters
⏰ Deadline: 31 December 2024
⚠️ Apply Link ⚠️
👉🏻 More information: The research interest of our team is focused on fundamental methods and technologies as well as applications of optical systems for classical and quantum information processing.
On the methodological side, this primarily includes quantum light sources and photonic
quantum memories for storing non-classical states of light. On the application side, this
concerns repeater-based quantum communication, photonic quantum computers and optical
neuromorphic computing architectures for machine learning.
#Photonic_quantum_computer
#Quantum_Information
#Machine_Learning
#Germany
#AcademicPosition
_._._._._._._._._._._._._._._._._._._._._._.
📲 @QAdmission
🌐 Website
🔵 LinkedIn
🔎 Quantum and classical computing with photons
🏛 TU Berlin
🌎 Germany
👤 Dr. Janik Wolters
⏰ Deadline: 31 December 2024
⚠️ Apply Link ⚠️
👉🏻 More information: The research interest of our team is focused on fundamental methods and technologies as well as applications of optical systems for classical and quantum information processing.
On the methodological side, this primarily includes quantum light sources and photonic
quantum memories for storing non-classical states of light. On the application side, this
concerns repeater-based quantum communication, photonic quantum computers and optical
neuromorphic computing architectures for machine learning.
#Photonic_quantum_computer
#Quantum_Information
#Machine_Learning
#Germany
#AcademicPosition
_._._._._._._._._._._._._._._._._._._._._._.
📲 @QAdmission
🌐 Website
👍4
Forwarded from Quantum Admissions
🎓 Multiple PhD Positions
🔎 Machine Learning for Complex Quantum States
🏛 Different institutions across Germany and Switzerland
🇩🇪 🇨🇭 Germany and Switzerland
👤 -
⏳ Deadline: 27 February 2026
⚠️ Apply Link ⚠️
🗣 More information: Our recently established collaborative research initiative “Machine Learning for Complex Quantum States” (MLCQS) – a consortium spanning eleven different institutions across Germany and Switzerland – is seeking to fill several PhD positions.
MLCQS will develop and employ tools of machine learning to investigate composite quantum systems with a focus on artificial quantum systems. Advanced capabilities of modern experimental techniques to manipulate and probe many-body quantum systems have made quantum simulation and quantum computing with substantial numbers of qubits a reality. But at the same time, fully leveraging their potential poses new challenges related to high-dimensional state representations and data as well as optimal control strategies. MLCQS will tackle these challenges by developing machine-learning-enhanced techniques for simulation, data analysis, and control. Our goals range from gaining theoretical insight to advancing experiments with ultracold atoms. Thereby, we will enable new insights into complex quantum states and dynamics.
🔗 Website
🔗 Telegram
🔗 LinkedIn
🔸 🔸 🔸 🔸 🔸 🔸 🔸
#Quantum
#Quantum_Information
#Quantum_Algorithms
#Rydberg_Atoms
#Machine_Learning
#Germany
#Switzerland
#AcademicPosition
🔎 Machine Learning for Complex Quantum States
🏛 Different institutions across Germany and Switzerland
👤 -
MLCQS will develop and employ tools of machine learning to investigate composite quantum systems with a focus on artificial quantum systems. Advanced capabilities of modern experimental techniques to manipulate and probe many-body quantum systems have made quantum simulation and quantum computing with substantial numbers of qubits a reality. But at the same time, fully leveraging their potential poses new challenges related to high-dimensional state representations and data as well as optimal control strategies. MLCQS will tackle these challenges by developing machine-learning-enhanced techniques for simulation, data analysis, and control. Our goals range from gaining theoretical insight to advancing experiments with ultracold atoms. Thereby, we will enable new insights into complex quantum states and dynamics.
#Quantum
#Quantum_Information
#Quantum_Algorithms
#Rydberg_Atoms
#Machine_Learning
#Germany
#Switzerland
#AcademicPosition
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