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2026 Quantum Computing Researcher

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Shape the future of technology at QuantumLeap Labs, where we're pioneering quantum computing breakthroughs for 2026 and beyond. Join our elite research team to develop next-generation quantum algorithms and solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for quantum experimentation and collaboration with Nobel laureates. We're seeking visionary researchers who thrive at the intersection of physics, computer science, and artificial intelligence to redefine computational boundaries.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experimental quantum computing projects using superconducting and photonic systems
  • Develop error correction protocols for fault-tolerant quantum architectures
  • Collaborate with AI teams to hybridize quantum-classical machine learning frameworks
  • Publish breakthrough research in top-tier journals and industry conferences
  • Mentor junior researchers and secure federal/grant funding for quantum initiatives
  • Participate in quantum standards development for 2026 technology ecosystems

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Proficiency in quantum programming languages (Q#, Quil, or Qiskit)
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Publication record in quantum computing or condensed matter physics
  • Experience with cryogenic quantum hardware control systems
  • Strong background in linear algebra and quantum information theory
  • Demonstrated ability to secure research grants (NSF, DOE, or equivalent)
  • Expertise in hybrid quantum-classical computing architectures

Required Skills

Quantum Computing Qiskit Quantum Algorithms Cryogenic Systems Quantum Error Correction Machine Learning Superconducting Qubits Research Methodology

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