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Quantum Optimization
Quantum Machine Learning
Playing Dice with the Universe: Programming Quantum Computers to Play Traditional Games
arXiv
Authors: Tristan Zaborniak, Vikram Khipple Mulligan
Year
2026
Paper ID
56792
Status
Preprint
Abstract Read
~2 min
Abstract Words
135
Citations
N/A
Abstract
The challenge of programming classical computers to play traditional, competitive games against human players has helped to advance classical hardware and software. Quantum computers have the potential to play games in a unique way: programmed only with the rules of a game, they should be able to implicitly represent all future paths of a game leading to wins, losses, or draws, and sample from this path set to identify moves that maximize the likelihood of a win. This permits skilled play without hard-coded or machine-learned strategy. As a proof of principle, we present early results obtained after programming the D-Wave quantum annealer with the rules of tic-tac-toe, enabling it to play against a human opponent. We anticipate that, as it has for classical computers, game-playing will serve as an important real-world benchmark for quantum computers.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- The challenge of programming classical computers to play traditional, competitive games against human players has helped to advance classical hardware and software.
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