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Ph.D. student position - Quantum Algorithms for Near-Term Technology: Potential and Limitations

Gothenburg, Västra Götaland County Job ID 00000407177 Category Data Science & Analytics Post Date Jan. 31, 2024
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Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Jeppesen, a subsidiary of The Boeing Company, is one of the largest software development companies in Gothenburg. We develop innovative optimization solutions for the world’s leading airlines. We are dedicated to continuous improvement, delivering more value to our clients, and exploring emerging technologies such as quantum computing, AI and big data analytics.


At our central Gothenburg office, we are currently looking for a Ph.D. student for the following project:  Quantum Algorithms for Near-Term Technology: Potential and Limitations.


Large airlines regularly create plans for hundreds of aircraft, thousands of staff and crew members, and millions of passengers. The planning must take a large number of rules and regulations into consideration, and minimize costs and maximize profit across the enterprise. As a result, airline planning problems are some of the most complex practical mathematical optimization problems in the world. 


The Wallenberg Center for Quantum Technology (WACQT) project aims to build a 100-qubit quantum computer within 10 years, and also to find practical applications for this computer. Together with WACQT we would like to explore and bring knowledge into our company about the usability of quantum computers in algorithms for computationally hard problems.


The successful Ph.D. candidate will study the potential and limitations of quantum algorithms for near-term technology and how to improve them by adding the capability of intermediate measurements. Allowing such intermediate measurements and feed-forward in the quantum circuits provides a computational model between current noisy quantum algorithms and fault-tolerant quantum computation.

The project has two main objectives: 
1) Understanding the power of intermediate measurements in quantum algorithms. 
2) The design of new quantum algorithms assuming this capability for computationally hard problems. 


This Ph.D. position is part of the Wallenberg Centre for Quantum Technology (WACQT), a 12-year 1.5 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. WACQT provides a collaborative and stimulating research environment involving several Swedish universities, industrial partners, and experimental efforts on quantum computing hardware. The candidate will be able to participate in the graduate school and access common courses and activities for academic and industrial Ph.D. students, as well as equality, diversity and inclusion activities, like mentorship programs. The candidate will have the opportunity to collaborate with the experimental team building the quantum computer.


Information about the research and the department at Chalmers: 
Nearly four decades ago, it was proposed that quantum computers could have capabilities surpassing classical devices for information processing. This statement is supported by the fact that efficient quantum algorithms exist for certain classically intractable problems, like factoring large composite integers. As it has not yet been possible to build a quantum computer large enough to outperform classical computers for this task, physicists have developed heuristic protocols to tackle practical applications like combinatorial optimization problems. However, it remains an open question whether these approaches provide any advantage over classical computers. 


The research group at Chalmers aims to assess the performance of such quantum algorithms to solve practical problems in noisy intermediate-scale quantum processors when considering the capability of intermediate measurements and feedforward. In the division, the Applied Quantum Physics Laboratory (AQPL), the research covers a broad spectrum, from quantum information processing with superconducting circuits, transport phenomena in graphene and molecular nanostructures, to unconventional and topological superconductors. Researchers work in close collaboration with experimental groups such as the Quantum Technology Laboratory (QTL), within WACQT, and the department of Computer Science and Engineering. 


The WACQT team at Chalmers currently has about 80 members (faculty, permanent research staff, postdoctoral researchers, PhD students, and undergraduate students) and is expanding. WACQT is committed to promoting career development, diversity, and gender equality through networking and supporting activities. The department (MC2) is host to the state-of-the-art MC2 Nanotechnology Laboratory cleanroom, the largest such facility in Northern Europe, and their measurement lab at QTL is well equipped with cryogenic and microwave electronic equipment. The team is in a position to build and operate large-scale quantum processors. 


Required Qualifications:  
•    Master's level degree corresponding to at least 240 higher education credits in Physics, Mathematics, Computer Science, or equivalent.
•    Excellent communication skills in written and spoken English. 
•    Programming in high-level languages such as Python. 
•    An interest in quantum physics, computing and airline planning/aviation.

Employer will not sponsor applicants for employment visa status.

Preferred Qualifications:
•    Deep quantum physics knowledge.
•    Deep knowledge of mathematical optimization methods.
•    We value a collaborative attitude and an interest in working both in teams and independently.
•    Motivation, cooperation, and a problem-solving analytical ability are important personal qualities for this position.

Please provide the following documentation in your application:
•    Cover letter
•    CV
•    Master's and bachelor's grades transcripts


Please make sure that the following information is stated in your CV or Cover Letter:
•    Which educational background do you have? 
•    What is the title of your Master's thesis? 
•    Grade point average and maximum grade (Master)? 
•    What year did you take your Master’s degree? 
•    At what University did you take your Master’s degree?


Join us if you want to:
•    Get professional skills development with our virtual learning tools and platforms (Digital Campus, LinkedIn Learning, Degreed, EdX, Enterprise Mentoring, and Communities of Excellence & Practice)
•    Broaden your experience in international projects, technical workshops and hackathons
•    Enjoy additional days off for Christmas break (December 24th-January 1st)
•    Have Private Medical Insurance

Relocation:
This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.


Export Control Requirements: Not an export control position

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

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