Postdoc Position On Algorithms For Near Term Quantum (nisq) Computers.
Chalmers Tekniska Högskola AB / Högskolejobb / Göteborg
2025-01-15
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This project is part of QuantumStack, a 5-year project funded by the Swedish Foundation for Strategic Research, with the aim of developing a full software stack for programming quantum computers. The project is integrated with the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. Our ambitious goal at Chalmers is to build this quantum computer with 100 superconducting qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science, machine learning, etc. The position is within the Data Science and AI division at the Department of Computer Science and Engineering, Chalmers University of Technology.
This position is related to developing algorithms for solving useful tasks on noisy intermediate scale quantum (NISQ) computers i.e. quantum computers composed of hundreds of noisy qubits, i.e. qubits that are not error-corrected, and therefore perform imperfect operations in a limited coherence time. Recently there has been a lot of interest in such algorithms to solve problems in optimization, machine learning and quantum simulation. The Ph.D. project will focus on developing such algorithms and exploring both their advantages and limitations compared to classical algorithms running on conventional computers.
This project is funded by SSF, under their call for "Future Software Systems" (in Swedish).
Relevant research papers are:
• Lewis, L., Huang, HY., Tran, V.T. et al. Improved machine learning algorithm for predicting ground state properties. Nat Commun 15, 895 (2024).
• Rouzé, C., Stilck França, D., Onorati, E. et al. Efficient learning of ground and thermal states within phases of matter. Nat Commun 15, 7755 (2024).
As well as a recent paper from our group:
• M.Wanner, D. Dubhashi et al, "Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms", NeurIPS 2024.
Main responsibilities
Your major responsibility as a postdoc is to develop algorithms for NISQ computers as in the papers described above. This will include both analytical and numerical work, and potentially also communication with experimentalists who can try out the methods that are developed in this project. You may also help in supervising PhD students and/or master's students working on compilation of quantum circuits or similar topics.
Qualifications
• PhD in Computer Science, Mathematcs, Physics, or neighbouring fields (obtained before employment begins)
• Excellent communication skills in written and spoken English
• Ability to program in high-level languages such as Python or C
• Familiarity with moder machine learning theory and applications.
Contract terms
This postdoc position is a full-time temporary employment for two years.
We offer
Chalmers provides a cultivating and inspiring working environment in the coastal city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.
Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.
Application procedure
The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.
CV: (Please name the document as: CV, Surname) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family name)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus
Other documents:
• Attested copies of completed education, grades and other certificates.
Use the button at the foot of the page to reach the application form.
Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.
Application deadline: February 15, 2025
For questions, please contact:
Devdatt Dubhashi, CSE/DSAI,
dubhashi@chalmers.se • ** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez - forward.
Ersättning Enligt överenskommelse
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Arbetsgivare Chalmers Tekniska Högskola AB (org.nr 556479-5598)
Jobbnummer 9104958