Whitepaper: Floating-Point Calculations on a Quantum Annealer

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Whitepaper: Floating-Point Calculations on a Quantum Annealer: Division and Matrix Inversion

Authors Michael L. Rogers and Robert L. Singleton Jr.

We express floating point operations such as division and matrix inversion in terms of a quadratic unconstrained binary optimization (QUBO) problem, a formulation that is ideal for a quantum annealer.

We first address floating point division, and then move on to matrix inversion. We provide a general algorithm for any number of dimensions, but we provide results from the D-Wave quantum annealer for 2×2 and 3×3 general matrices.

Link to Whitepaper: https://www.frontiersin.org/articles/10.3389/fphy.2020.00265/full

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