IBM Research Europe – Zurich Lab 
Rüschlikon, Switzerland Angebotszusammenfassung
IBM Research Europe – Zurich Lab in Rüschlikon, Switzerland, is seeking a researcher for a Master's Thesis titled 'Resource Estimation for Fault-tolerant Quantum Algorithms.' This project focuses on approximating computational resources required by future fault-tolerant quantum algorithms without explicit compilation. The role aims to assess algorithm feasibility, identify bottlenecks, and guide optimization of quantum algorithms and architectures. Candidates should possess experience in Python programming for scientific computing or tooling development, with a background in physics, mathematics, or computer science. Familiarity with quantum computing concepts such as error correction and Qiskit is preferred. Applicants must demonstrate excellent English communication skills. IBM offers access to state-of-the-art quantum hardware, high-performance classical computing resources, and a supportive environment encouraging innovation, patent filing, and publication in top venues. The position emphasizes diversity, inclusion, and flexible working arrangements within an open, multicultural research setting.
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Projektbeschreibung
Master's Thesis
Resource Estimation for Fault-tolerant Quantum Algorithms
Ref. 2026_020
Motivation
Fault-tolerant quantum computing architectures envisioned for the next decade differ fundamentally from current near-term devices. They involve numbers of operations that exceed those of today’s quantum algorithms by orders of magnitude, and they rely on a different underlying instruction set. As a result:
We currently cannot directly compile quantum circuits for these future machines.
The resource requirements of fault-tolerant quantum algorithms, such as total error, runtime, and number of qubits, cannot be computed exactly.
The goal of resource estimation is to approximate the computational resources required by quantum algorithms without explicitly compiling them. Through resource estimation, we can assess which algorithms are feasible, identify the dominant bottlenecks, and guide the optimization of both quantum algorithms and the underlying architectures.
Why Join Us?
You will join a world-class research environment and collaborate closely with experienced researchers at IBM Research, and have access to state-of-the-art quantum hardware and software platforms, as well as high-performance classical computing resources. Our environment encourages innovation, and we actively support students in filing patents and publishing in top conferences and journals.
Project Description
In this project, the student will work on resource estimation for fault-tolerant quantum computing architectures targeted by IBM over the next decade. The goal is to develop and apply resource-estimation tools to evaluate the feasibility of quantum algorithms under realistic architectural and error-correction assumptions.
Desired Qualifications
Experience in Python programming (scientific computing or tooling development).
A background in physics, mathematics, or computer science.
Preferably: familiarity with quantum computing (such as quantum algorithms, quantum error correction, Qiskit,...).
Excellent communication skills in English.
Diversity & Work Environment
IBM is committed to fostering diversity and inclusion in the workplace. You will join an open, multicultural research environment that values different perspectives and supports flexible working arrangements. Our goal is to help all genders and backgrounds thrive professionally while maintaining a healthy work–life balance.
How to Apply
If you are interested in this position, please submit your application through the link below.
Apply