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Summary: Haiqu is seeking a Research Scientist in Quantum Algorithms to develop and explore near-to-mid-term quantum applications on modern quantum processors. Highlights: 1. Developing world-leading software for quantum processors 2. Driving theoretical and practical quantum algorithm development 3. Exploring and developing quantum applications on NISQ and EFTQC architectures Develop the first useful quantum algorithms. Haiqu is building a world-leading software platform that enables previously impossible applications on modern quantum processors. Our full-stack approach has shown industry-first results in pilots with leading quantum early adopters. Backed by top investors, we offer a unique opportunity to join a fast-growing team to drive theoretical and practical quantum algorithm development in the early FTQC (EFTQC) era. We seek candidates with a solid academic background in theoretical and applied quantum algorithms, a demonstrated capability for independent research, and a passion for testing out theoretical concepts on real quantum hardware. Responsibilities: As a Research Scientist in Quantum Algorithms, you will explore and develop near-to-mid-term quantum applications on NISQ and EFTQC quantum architectures. You will run and design research projects on characterization, benchmarking, and resource estimation for quantum algorithms, and conceptualize and prototype proof-of-principle demonstrations. To this end, you will conduct both theoretical algorithm research and run practical experiments using state-of-the-art quantum software and hardware. Requirements PhD in physics or related field (Computer Science, Mathematics) A research background in quantum computing, quantum algorithms, quantum information theory, or computational physics with a demonstrated publication record. A good knowledge of quantum computing, including Error Correction, with a particular emphasis on recent research in quantum algorithms. Experience in resource estimation and practical optimization of quantum algorithms is a plus, as is good familiarity with quantum compilation and Tensor Network methods. Strong programming skills (preferably in Python) and a familiarity with at least one practical quantum computing framework (e.g. Qiskit). Experience with ML frameworks (PyTorch, TensorFlow) is a plus Excellent communication and presentation skills. Benefits We offer competitive compensation with significant equity and benefits. Join a diverse, flexible workplace building the future of quantum computing.
