Submitted by
shannonw on Wed, 02/03/2022 - 08:38.
The activity concerns the establishment of a new public research and user platform for quantum computing: “aQCess -Atomic quantum computing as a service” which brings together a large number of French and International academic and industrial partners and is supported by the “Plan d’Investissment d’Avenir” of the "Agence National de la Recherche" and the “Programme et Equipements Prioritaire de Recherche Quantique” (PEPR) within the French national quantum strategy.
Submitted by
nquesada on Wed, 19/01/2022 - 01:15.
The Polyquantique research group led by Nicolás Quesada specializes in quantum photonics and quantum information. The group is looking for highly motivated candidates at all levels (graduate students, postdocs) with expertise or interest in quantum photonics, quantum information, quantum optics, quantum metrology, quantum error correction, topological photonics or machine learning.
About the group
Welcome to Qove Laboratory! We are a research team located at the National University of Singapore and focused on designing and building Quantum Technologies with an emphasis on Quantum Networks. Our experimental platforms include superconducting circuits, rare-earth ions in solid-state and integrated photonics. Contact us to know more about our exciting projects and how you can be a part of it!
The Computer Science (CS) Department and the Electrical and Computer Engineering (ECE) Department at Stony Brook University invite applications for a tenure-track/tenured faculty position in Quantum Information Science and Engineering with an expected start date of Fall 2022. Although the position is expected to be filled at the Associate Professor rank, exceptionally qualified candidates at any rank in all areas of Quantum Information Science and Engineering, including quantum algorithms, communication, complexity, and devices, are invited to apply.
Submitted by
dmanzano on Sat, 18/12/2021 - 11:39.
We are looking for a highly motivated Ph.D. student to work in the following fields:
- Quantum neural networks.
- Developing new quantum machine learning protocols. Problems o interest include quantum state preparation, quantum feature detection, or developing hybrid quantum architectures."
- Resource theory of quantum machine learning.
Pages
