Master Thesis: Integrating Quantum-Computing with Classical Compute for Telecom
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About this opportunity:
platform to handle the parts of a telecom workload for which it is best suited. In a RAN setting, network measurements and operational data are collected, filtered, and encoded by classical components before selected computational tasks are sent to a quantum processor. Understanding and optimizing these end-to-end data flows is essential for assessing whether quantum acceleration can provide practical value in telecom systems.
What you will do:
The thesis includes the following tasks:
• Review quantum algorithms for RAN workloads, with emphasis on the capabilities of integrated quantum-classical systems.
• Select a representative RAN use case and define the research question, target capabilities, and evaluation metrics.
• Prepare data and experimental scenarios that reflect RAN workloads and are suitable for state-of-the-art quantum computers.
• Implement appropriate conventional baselines and define the corresponding key performance indicators.
• Develop and validate a quantum computing architecture focused on the selected capability, such as latency, portability, robust processing, etc.
• Evaluate the proposed architecture against the selected baselines using the defined metrics.
• Assess hardware suitability by analyzing qubit requirements, circuit depth, compilation overhead, and quantum-classical interconnect latency.
• Document the proposed solution, methodology, and evaluation results.
The skills you bring:
• MSc Student in Computer Science, Engineering Physics, Machine Learning, Mathematics.
• Proficient in Probability Theory, Neural Networks, System Modeling, quantum computing.
• Understanding of quantum computers (superconducting, neutral atoms trapped ion) and
software stacks (QISKIT, Cuda-Q, Pennylane, etc.)
• Good programing skills are required, knowledge of C++, Python.
Additional Details
The work is expected to start in Jan 2027. The work is proposed for 1 student for a duration of 6 months. Location is at Ericsson Research in Stockholm (Kista), Sweden.
Please submit your application in English as soon as possible - we are working continuously with.
Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 791041
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