Remote Quantum Resource Estimation Intern

Quandela

Massy

Remote

EUR 13,000 - 16,000

Full time

9 days ago

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Benefits offered by this job

Swile Card
50% transport costs
Remote work possible
Internship Allowance €1,200–€1,400 per
1.5 days off per month

Job summary

Quandela, a global leader in quantum computing, invites an MSc student to join the Algorithms, Applications and AI team for a hands-on internship. You will work on resource estimation for quantum chemistry algorithms, study error-correction codes, and adapt methodologies to Quandela's SPOQC architecture, integrating results into our toolchain and datasets.

Fluent English is required; remote work is possible, and you will collaborate with a diverse team to advance practical quantum solutions for

Qualifications

  • MSc student in Quantum Information Science or related field is required.
  • Knowledge of quantum error-correction codes and fault-tolerant QC is essential.
  • Familiarity with quantum chemistry algorithms and quantum phase estimation is expected.
  • Experience with quantum compilation techniques such as rotation synthesis is a plus.
  • Familiarity with the listed quantum tools (CUDA-Q, Azure QRE, Qualtran, Stim, TQEC) is desirable.

Responsibilities

  • Develop knowledge of fault-tolerant quantum computing and quantum algorithms for chemistry.
  • Build understanding of a quantum-chemistry algorithm and break it into subroutines.
  • Review literature on resource-estimation approaches for the selected algorithm.
  • Adapt the resource-estimation methodology to SPOQC architecture and ECC code.
  • Compile the algorithm using pipe diagrams.
  • Integrate the implementation into Quandela tools and evaluate resource requirements across problem sizes.

Skills

Fluent English
Quantum error correction
Fault-tolerant QC
Quantum chemistry algorithms
Quantum compilation

Education

MSc student in Quantum Information Science

Tools

CUDA-Q Logical
Azure Quantum Resource Estimator
Qualtran
Stim
TQEC

Job description

Quandela, a global leader in quantum computing, invites an MSc student to join the Algorithms, Applications and AI team for a hands-on internship. You will work on resource estimation for quantum chemistry algorithms, study error-correction codes, and adapt methodologies to Quandela's SPOQC architecture, integrating results into our toolchain and datasets.

Fluent English is required; remote work is possible, and you will collaborate with a diverse team to advance practical quantum solutions for

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