Outcome determinism in measurement-based quantum computation with qudits
Robert I. Booth, Aleks Kissinger, Damian Markham, Cl\'ement Meignant,, Simon Perdrix

TL;DR
This paper extends the flow-based framework for measurement-based quantum computation to qudits with prime dimension, establishing necessary and sufficient conditions for outcome determinism and providing an efficient algorithm for identifying optimal flows.
Contribution
It introduces Zd-flow, a new flow concept for qudit MBQC, and proves its equivalence to outcome determinism, along with characterising measurements and offering a polynomial-time algorithm.
Findings
Zd-flow is necessary and sufficient for outcome determinism in qudit MBQC.
Characterisation of allowed measurements in qudit MBQC.
Polynomial-time algorithm for finding optimal Zd-flow.
Abstract
In measurement-based quantum computing (MBQC), computation is carried out by a sequence of measurements and corrections on an entangled state. Flow, and related concepts, are powerful techniques for characterising the dependence of the corrections on previous measurement outcomes. We introduce flow-based methods for MBQC with qudit graph states, which we call Zd-flow, when the local dimension is an odd prime. Our main results are proofs that Zd-flow is a necessary and sufficient condition for a strong form of outcome determinism. Along the way, we find a suitable generalisation of the concept of measurement planes to this setting and characterise the allowed measurements in a qudit MBQC. We also provide a polynomial-time algorithm for finding an optimal Zd-flow whenever one exists.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
