Aurelie Helouis (InfinityQ): An analog quantum computer built for optimization, not gates

Key takeaways

  • InfinityQ built an analog quantum computer aimed only at optimization problems, skipping the gate model that most quantum hardware companies pursue.
  • Instead of encoding problems into qubits and gates, the machine represents optimization problems as continuous analog states that settle into a solution.
  • One real customer use case is online gaming, where the system is applied to matchmaking type optimization problems in near real time.
  • Aurelie's argument is that narrowing the hardware to optimization only lets it deliver practical results now, rather than waiting for general purpose gate based quantum computers to mature.

Summary

Aurelie Helouis, founder and CEO of InfinityQ Technologies, developer of an analog quantum computer, is interviewed by Yuval Boger. Aurelie and Yuval talk about the types of problems that such a computer can solve, a unique application in the world of online gaming, and much more.

Read the full transcript on the Quantum Computing Report site