Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects
Marvin Bechtold, Johanna Barzen, Frank Leymann, Alexander Mandl

TL;DR
This paper introduces a practical quasiprobability decomposition method for simulating high-fidelity quantum state transfer over noisy interconnects, reducing sampling overhead and improving effective fidelity in distributed quantum computing.
Contribution
It presents a generalized, tunable QPD approach for realistic noisy interconnects, with experimental validation demonstrating reduced overhead and enhanced transfer fidelity.
Findings
Effective state transfer fidelity exceeds direct noisy transfer
Reduced sampling overhead with the new QPD method
Feasible implementation on current quantum devices
Abstract
Scaling beyond individual quantum devices via distributed quantum computing relies critically on high-fidelity quantum state transfers between devices, yet the quantum interconnects needed for this are currently unavailable or expected to be significantly noisy. These limitations can be bypassed by simulating ideal state transfer using quasiprobability decompositions (QPDs). Wire cutting, for instance, allows this even without quantum interconnects. Nevertheless, QPD methods face drawbacks, requiring sampling from multiple circuit variants and incurring substantial sampling overhead. While prior theoretical work showed that incorporating noisy interconnects within QPD protocols could reduce sampling overhead relative to interconnect quality, a practical implementation for realistic conditions was lacking. Addressing this gap, this work presents a generalized and practical QPD for state…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Low-power high-performance VLSI design · Radiation Effects in Electronics
