Senior Advanced R&D Scientist

We are seeking a R&D Scientist for our quantum research team in Singapore .

The Quantinuum office in Singapore is a hub for scientific discovery and cutting-edge research that will inspire quantum solutions to the world’s most complex problems in fields including for example computational biology, finance, chemistry, and optimization. Working in close partnership with Singapore’s National Quantum Office (NQO), Agency for Science, Technology and Research (A*STAR), National University of Singapore (NUS), Centre for Quantum Technologies (CQT),and National Supercomputing Centre (NSCC), the center will cater to fostering Singapore’s growing quantum computing ecosystem, offering a platform to co-develop use cases and quantum algorithms for implementation on local quantum computing hardware.

Our team members regularly publish scientific papers and present their results at leading conferences. In this role, you will work in a collaborative environment and contribute to advancing our state-of-the-art quantum computing stack. You will also engage with our academic and industry partners.

Key responsibilities:

• Conduct research on new quantum algorithms for areas including biology, finance, chemistry, and optimization models
• Develop and implement novel quantum algorithms integrated with early fault-tolerant protocols and error correction or detection primitives
• Contribute to end-to-end resource estimation of quantum algorithms under realistic hardware constraints
• Communicate scientific results internally across teams and externally through publications and conference presentations
• Engage with clients on projects in the above mentioned areas

Requirements:

• PhD in a relevant field (physics, mathematics, computer science etc.)
• At least 5 years of Research experience in quantum algorithms, along with demonstrated expertise in at least one of the following areas: quantum algorithm design and optimization, realistic noise models of quantum hardware, quantum error correction, and(partially) fault-tolerant protocols