Comparison of schemes for highly loss tolerant photonic fusion based quantum computing
Sara Bartolucci, Tom Bell, Hector Bombin, Patrick Birchall, Jacob Bulmer, Christopher Dawson, Terry Farrelly, Samuel Gartenstein, Mercedes Gimeno-Segovia, Daniel Litinski, Yehua Liu, Robert Knegjens, Naomi Nickerson, Andrea Olivo, Mihir Pant, Ashlesha Patil, Sam Roberts
TL;DR
This paper reviews recent methods for fault-tolerant photonic fusion-based quantum computing that are highly tolerant to qubit loss, highlighting their performance and potential for reliable quantum information processing.
Contribution
It provides a comparative summary of new schemes designed to enhance loss tolerance in photonic fusion-based quantum computing.
Findings
Identifies key performance metrics of recent schemes
Highlights advantages of specific loss-tolerant methods
Provides insights into future research directions
Abstract
We summarize the performance of recently-proposed methods for achieving fault tolerant fusions-based quantum computation with high tolerance to qubit loss, specifically aimed at photonic implementations.
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Optical Network Technologies · Quantum optics and atomic interactions