Quantum Probability and the Born Ensemble
Themis Matsoukas

TL;DR
This paper introduces a discrete quantum stochastic process that models quantum probabilities using a pair of qubits and a matrix of recombination events, reproducing Born statistics and Schrödinger equation solutions.
Contribution
It presents a novel quantum stochastic model with a matrix-based representation that captures quantum probabilities and the Born rule through qubit recombination dynamics.
Findings
Reproduces Born statistics from a discrete process
Models quantum probabilities with a matrix of recombination events
Shows invariance of certain matrix elements under rotations
Abstract
We formulate a discrete two-state stochastic process with elementary rules that give rise to Born statistics and reproduce the probabilities from the Schr\"odinger equation under an associated Hamiltonian matrix, which we identify. We define the probability to observe a state, classical or quantum, in proportion to the number of \textit{events} at that state--number of ways a walker may materialize at a point of observation at time t through a sequence of transitions starting from known initial state at t=0. The quantum stochastic process differs from its classical counterpart in that the quantum walker is a pair of qubits, each transmitted independently through all possible paths to a point of observation, and whose recombination may produce a positive or negative event (classical events are never negative). We represent the state of the walker via a square matrix of recombination…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
