PASQAL

Machine Learning Engineer

• Develop and train Neural Quantum States (NQS + VMC), with pretraining of the NQS on datasets generated by the QPU.
• Benchmark this approach against established numerical methods (e.g., exact diagonalization, standard VMC, tensor networks) and against raw QPU data.
• Apply NQS to represent observables and many-body wavefunctions of magnetic Hamiltonians.
• Contribute to internal tools and publications.

Machine Learning Internship – Rydberg-Based Quantum Simulators

• Develop and train Neural Quantum States (NQS + VMC), with pretraining of the NQS on QPU-generated datasets.
• Benchmark this approach against established numerical methods (e.g., exact diagonalization, standard VMC, tensor networks) and against raw QPU data.
• Apply NQS to represent observables and many-body wave functions of magnetic Hamiltonians.
• Contribute to internal tools and publications.

Machine Learning Intern, Rydberg-Based Quantum Simulators

Software Engineer

• Collaborate with algorithm developers to identify or develop algorithms
• Analyze and adopt developments in quantum error correction and circuit compilation
• Work with customers & academic collaborators to deliver findings
• Prepare publications and contribute to intellectual property portfolio
• Present results and innovations in internal and external discussions
• Keeping a regular technological watch

Machine Learning Internship – Rydberg-Based Quantum Simulators

Machine Learning Intern, Rydberg-Based Quantum Simulators

Mid-Senior Quantum Developer