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Quantum Algorithms Scientist - Optimization

PhasecraftWashington, District of Columbia, United States
On-site Full-time $120K/yr - $175K/yr

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Experience Level

Experience

Qualifications

Essential Qualifications:Demonstrated expertise in one or more of the following areas:• Quantum information and/or computation theory• Theory and implementation of classical algorithms for optimization or constraint satisfaction• Quantum algorithm design and implementation• Mathematical analysis of algorithmsProven ability to work independently on research projects. Strong publication record and deep expertise in a relevant discipline. Excellent written and verbal communication skills, capable of conveying complex research findings to both technical and non-technical audiences. Willingness to engage in various aspects of quantum algorithms and adapt to evolving project needs.

About the job

Join Phasecraft, a pioneering quantum algorithms company dedicated to establishing the mathematical foundations for quantum computing solutions that tackle real-world challenges. Since our inception in 2019 by visionaries Toby Cubitt, Ashley Montanaro, and John Morton, we have expanded our footprint from London and Bristol to a thriving office in Washington DC in 2024, led by the talented Steve Flammia. Our successful $17 million Series A funding round in 2023, spearheaded by Playground Global, a leader in Silicon Valley deep tech venture capital, underscores our commitment to innovation.

Phasecraft enjoys unparalleled access to cutting-edge quantum computers through strategic partnerships with industry giants like Google, IBM, Quantinuum, and QuEra. This unique position empowers us to develop foundational intellectual property, guide the evolution of next-generation quantum hardware, and expedite the commercialization of transformative breakthroughs.

We are actively seeking a Quantum Algorithms Scientist to enhance our team. The ideal candidate will possess experience in the theory and/or practical application of optimization algorithms for gate-model quantum computers, classical optimization, or constraint satisfaction algorithms, or exhibit strong potential in these domains. Initially, the role will focus on these areas, with opportunities to diversify your research portfolio across the various interests of Phasecraft. While a background in quantum computing is advantageous, it is not mandatory; however, candidates must demonstrate their ability to design and implement advanced algorithms in optimization and/or constraint satisfaction.

Core Responsibilities:

  • Conduct theoretical and/or applied research and software development tailored for near-term quantum computing applications, concentrating on quantum algorithms and software for combinatorial optimization and constraint satisfaction problems.
  • Contribute to the authorship of publications, presentations, patent applications, and other outputs stemming from research endeavors.
  • Collaborate effectively within a small, dynamic team comprising full-time staff and affiliated PhD students.
  • Engage with stakeholders in collaborative efforts to apply quantum computing to optimization challenges.
  • Participate in additional activities that support the growth and success of Phasecraft.

About Phasecraft

Phasecraft is at the forefront of quantum algorithms, revolutionizing the mathematical frameworks necessary for practical quantum computing applications. With a diverse team and strategic collaborations, we are poised to lead breakthroughs that will redefine the technological landscape.

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