1QBit is looking for an expert in fault-tolerant quantum computing to work on theoretical and experimental aspects of fault-tolerance in emerging quantum devices.
Our Hardware Innovation Lab (HIL) team is interested to hear from high caliber scientists who are excited to contribute to the various layers of the full stack of quantum computing.
HIL collaborates with its hardware partners, employing its expertise in classical and quantum computing to develop technologies that will enable scalable and applicable quantum computing.
What You’ll Do
What You’ll Bring
Members of our team bring a confluence of personality, skills, and intent that contributes to their individual development and our collective growth as an organization.
The knowledge and mindset you will bring to our team include the following :
Who We Are
The Hardware Innovation Lab is a unique division in 1QBit that works to address the computational challenges of building performant alternative computing devices, including quantum computers and classical HPC devices.
With expertise in quantum information science, quantum control, machine learning, optimal control, and optimization, our drive is to support and accelerate the development of advanced computing hardware.
We are constantly developing our tools, methods, and expertise, in order to support our hardware partners and experimentalist collaborators.
1QBit is dedicated to solving the world’s most intractable challenges by recasting problems to harness the power of quantum computing.
We identify demanding industry problems and apply breakthroughs in computation to machine intelligence and optimization science to build software that allows applications to continually benefit from advances in both quantum and classical hardware.
We believe that quantum technologies will form the next pillar of computational progress. We research, benchmark, and build software development kits, online platforms, and applications that make the power of quantum computers accessible to researchers, developers, and industry-leading organizations so they can solve their most difficult problems in fields such as optimization, simulation, and machine learning.