Quantum Computing
Quantum Condensed Matter Theory
finished (2021/10/27, finished 2022/07/02)| Position ID: | EPFL-Computational Quantum Science Lab-POSTDOC [#20290] |
| Position Title: | Research Scientist |
| Position Type: | Postdoctoral |
| Position Location: | Lausanne, Vaud 1015, Switzerland [map] |
| Subject Areas: | Machine Learning Quantum Computing Quantum Condensed Matter Theory |
| Appl Deadline: | 2021/12/31 11:59PM finished (2021/10/27, finished 2022/07/02) |
| Position Description: |
Position Description We are looking for candidates in two main areas. The first area of research concerns classical simulation and modelling of quantum systems with advanced techniques. Ideal candidates in this area should have significant experience with modern computational techniques such as for example (Quantum Monte Carlo, Neural-Network Quantum States, Tensor Networks, etc). Alternatively, candidates with a more prominent analytical attitude (Condensed Matter theory, Statistical Physics, Machine Learning theory, etc) are also encouraged to apply, provided they have a record of successful collaborations with computational scientists. The second area of research concerns the development of quantum algorithms, typically on near-term quantum hardware. In this area our main interests are in the context of Variational Quantum Algorithms and related topics. Ideal candidates should have experience with implementing and developing novel quantum algorithms, for example through basic computational tools such as Qiskit or similar. More analytically-oriented minds (in Quantum Information Theory, Learning theory etc) are also welcome to apply, provided they also have a taste for applications to problems in many-body Physics or related. Requirements :
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