PhD in Fault-Tolerant Photonic Quantum Computing

KU

København

Presencial

DKK 380.000 - 460.000

Jornada completa

Hace 2 días
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Descripción de la vacante

The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute, University of Copenhagen, invites applications for a PhD fellowship in fault-tolerant photonic quantum computing with qudits and group surface codes. Based in Copenhagen, the project merges theory, software development, and numerical simulation with close ties to photonic hardware.

We seek candidates with a background in physics, quantum information, computer science or mathematics, strong Python skills,

Formación

  • Solid foundation in quantum mechanics and quantum information.
  • Strong programming skills, preferably Python.
  • Knowledge of quantum error correction, architectures, optics or group codes.
  • Experience with numerical simulations, decoding algorithms or HPC.
  • Structured, independent and collaborative research approach.
  • Good written and spoken English.

Responsabilidades

  • Develop theoretical models and software to study group surface codes.
  • Perform numerical simulations of photonic qudits and error correction.
  • Assess resource requirements and scalability for large-scale photonic quantum computers.
  • Collaborate with photonic hardware researchers and other group members.

Conocimientos

Quantum mechanics
Python programming
Quantum error correction
Numerical simulations
Independent research
English communication

Educación

Master's degree or equivalent in Physics/CS/Math

Descripción del empleo

The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute, University of Copenhagen, invites applications for a PhD fellowship in fault-tolerant photonic quantum computing with qudits and group surface codes. Based in Copenhagen, the project merges theory, software development, and numerical simulation with close ties to photonic hardware.

We seek candidates with a background in physics, quantum information, computer science or mathematics, strong Python skills,

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