Geometry of Discrete Quantum Computing
Andrew J. Hanson, Gerardo Ortiz, Amr Sabry, and Yu-Tsung Tai

TL;DR
This paper explores the geometric structure of discrete quantum computing using finite fields, extending continuous quantum state spaces to a computable, finite setting, and analyzes entanglement properties within this framework.
Contribution
It introduces a discrete geometric framework for quantum states based on finite fields, extending the Hopf fibration, and characterizes entanglement in this setting.
Findings
Discrete state space has p^{2^{n}-1} states.
Number of unentangled states is p^{n}(p-1)^{n}.
Number of maximally entangled states is p^{n+1}(p-1)(p+1)^{n-1}.
Abstract
Conventional quantum computing entails a geometry based on the description of an n-qubit state using 2^{n} infinite precision complex numbers denoting a vector in a Hilbert space. Such numbers are in general uncomputable using any real-world resources, and, if we have the idea of physical law as some kind of computational algorithm of the universe, we would be compelled to alter our descriptions of physics to be consistent with computable numbers. Our purpose here is to examine the geometric implications of using finite fields Fp and finite complexified fields Fp^2 (based on primes p congruent to 3 mod{4}) as the basis for computations in a theory of discrete quantum computing, which would therefore become a computable theory. Because the states of a discrete n-qubit system are in principle enumerable, we are able to determine the proportions of entangled and unentangled states. In…
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