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Quantum Algorithms Scientist
Uses advanced numerical methods to simulate quantum algorithms and many-body quantum systems that exceed the capacity of direct classical computation
Key Responsibilities:
- Perform simulations of quantum algorithms, quantum circuits, and many-body quantum systems to validate and enhance quantum algorithm performance
- Conduct theoretical and applied research on near-term quantum computing algorithms, applications, and enabling technologies
- Author publications, presentations, patent applications, and research outputs contributing to quantum computing advancement
- Work collaboratively in international teams comprising full-time staff and affiliated PhD students on cutting-edge research
- Contribute to organizational growth through research, development, and technical leadership in quantum algorithm optimization
- Apply advanced numerical methods including tensor networks, MPS, PEPS, TDVP, DMRG, and circuit contraction techniques
- Bridge theoretical quantum computing advances with practical applications and hardware implementation
Skills & Tools:
- Advanced quantum simulation methods (tensor networks, MPS, PEPS, TDVP, DMRG, circuit contraction, Pauli propagation)
- Programming languages (Python, C++, quantum computing frameworks)
- Quantum information theory and quantum computation expertise
- Many-body quantum physics and quantum algorithm design
- Research methodology and academic publication experience
- Quantum hardware platforms and industry collaboration experience
- Software development for quantum computing applications
- Cross-disciplinary collaboration and communication skills
- Independent research project management abilities
Where This Role Has Appeared:
- Phasecraft (Quantum Algorithms, Remote/London/Bristol/Washington DC, $120k-$175k, July 2025)
Variants & Related Titles:
Quantum Simulation Scientist
- Classical Quantum Computing Researcher
- Quantum Algorithm Validation Engineer
- Quantum Systems Simulation Specialist
- Quantum Computing Research Scientist
Why This Role Is New:
Quantum Algorithms Scientist for Classical Simulation emerged in 2020-2022 as quantum computing companies realized that current quantum hardware limitations require sophisticated classical simulation to validate algorithms and optimize performance before expensive quantum computer time. The role addresses the gap between theoretical quantum algorithms and practical implementation on noisy, intermediate-scale quantum devices.
Trend Insight:
As quantum computing approaches practical applications while hardware remains limited, classical simulation specialists are becoming essential for developing and validating quantum algorithms, serving as a critical bridge between quantum theory and real-world quantum computing implementation.
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