Joint Wire Cutting with Non-Maximally Entangled States
Marvin Bechtold, Johanna Barzen, Frank Leymann, Alexander Mandl, Felix, Truger

TL;DR
This paper explores how non-maximally entangled states can optimize joint wire cutting in distributed quantum computing, reducing the sampling overhead and improving efficiency over previous methods using maximally entangled states.
Contribution
It introduces a method to minimize sampling overhead for joint wire cuts using NME states, including analysis of composite states and an optimal cutting technique.
Findings
Minimal sampling overhead for joint wire cuts determined
Composite NME states analyzed for overhead reduction
Optimal wire cutting technique with pure NME states developed
Abstract
Distributed quantum computing leverages the collective power of multiple quantum devices to perform computations exceeding the capabilities of individual quantum devices. A currently studied technique to enable this distributed approach is wire cutting, which decomposes a quantum circuit into smaller subcircuits by cutting their connecting wires. These subcircuits can then be executed on distributed devices, and their results are classically combined to reconstruct the original computation's result. However, wire cutting requires additional circuit executions to preserve result accuracy, with their number growing exponentially with each cut. Thus, minimizing this sampling overhead is crucial for reducing the total execution time. Employing shared non-maximally entangled (NME) states between distributed devices reduces this overhead for single wire cuts, moving closer to ideal…
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Taxonomy
TopicsMetal Forming Simulation Techniques · Metallurgy and Material Forming · Advanced Surface Polishing Techniques
