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arXiv CS.AI
7/9/2026
QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron

QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron

Short summary

QANTIS is a framework that uses IBM Heron quantum hardware as a calibrated belief-update service for autonomous systems operating under partial observability (POMDPs). A controlled case study on a sequential Tiger POMDP shows that all-step fixed-point amplitude amplification preserves posterior correctness across 8–32 step horizons, with hardware posteriors matching exact Bayes posteriors in every decision check. The paper defines an operating envelope for quantum belief-update primitives rather than claiming a standalone hardware advantage.

  • •QANTIS treats a quantum processor as a belief-update service returning posteriors to a classical POMDP planner
  • •All-step fixed-point amplitude amplification preserves Tiger posterior correctness across 8–32 step runs on IBM Heron
  • •Hardware posteriors match exact Bayes posteriors in every reported decision check, defining a usable operating envelope

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Read full article at arXiv CS.AI

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