He has been active in quantum computing research for over 20 years, and has broad research interests. He is known for his work on measurement-based quantum computing and photonic quantum computing, and his current research focusses on both the capabilities of near-term Noisy Intermediate-Scale Quantum (NISQ) Computers and large-scale fault tolerant quantum computers. Dan is also an advisor and consultant for Riverlane, a UK-based quantum start-up developing software infrastructure for error-corrected quantum computers.