Lead Quantum Algorithms Scientist
Phasecraft
Lead Quantum Algorithms Scientist
Phasecraft
Designs hardware-efficient quantum algorithms
Phasecraft · Washington, United States (Hybrid) · Full-time · Posted 2025-03-28
Workplace: hybrid
Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol in the UK and opened an office in Washington DC in 2024, led by Steve Flammia. In 2023 we completed a $17m Series A funding round led by leading Silicon Valley deep tech VC, Playground Global.
Phasecraft’s unprecedented access to today’s best quantum computers – through partnerships with Google, IBM, Quantinuum and QuEra – provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialization of high-value breakthroughs.
We are looking to hire a Lead Quantum Algorithms Scientist to join our team in Washington DC. In this newly created role, you will play a key role in guiding and coordinating the US team’s research efforts, working closely with the Head of the US office and the senior science team at Phasecraft. The ideal candidate will have extensive experience in leading research direction in the theory of algorithms for gate-model quantum computers or related topics in quantum computing theory, quantum information theory or related areas of quantum theory. Their work will contribute to Phasecraft’s goal of developing quantum algorithms for near-term quantum computers, and may encompass topics such as algorithm design, optimization and implementation, quantum error-correction, resource analysis, error mitigation, and hardware benchmarking. They will have the opportunity to direct and grow a portfolio of research activity across the breadth of Phasecraft’s interests.
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Designs hardware-efficient quantum algorithms
Phasecraft designs quantum algorithms that reduce the hardware needed to solve hard problems, aiming to move closer to quantum advantage by lowering qubit counts and circuit depth. It tests and refines its algorithms with leading hardware partners such as Google, IBM, Rigetti, Quantinuum and QuEra to co-develop solutions for enterprise clients in fields like materials science, pharmaceuticals and telecommunications. A notable product is THRIFT, an algorithm that speeds up dynamic quantum simulations by about 10x, enabling larger and longer-running runs on near-term quantum processors. Their goal is to bridge the gap between current quantum hardware limits and future fault-tolerant machines by providing practical, hardware-efficient quantum software and intellectual property through collaborations and IP development.
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