A direct approach to Gaussian measurement based quantum computation
Giulia Ferrini, Jonathan Roslund, Francesco Arzani, Claude Fabre and, Nicolas Treps

TL;DR
This paper presents a new measurement-based quantum computation scheme for continuous variables that avoids the need for ancillary cluster states, using resource state detection and digital post-processing with optimized parameters.
Contribution
It introduces a novel approach to continuous-variable quantum computation that simplifies implementation by eliminating the reliance on cluster states.
Findings
Demonstrates the method with simple computational examples
Shows the potential for optimized experimental parameter settings
Provides a general framework applicable to various quantum computations
Abstract
In this work we introduce a general scheme for measurement based quantum computation in continuous variables. Our approach does not necessarily rely on the use of ancillary cluster states to achieve its aim, but rather on the detection of a resource state in a suitable mode basis followed by digital post-processing, and involves an optimization of the adjustable experimental parameters. After introducing the general method, we present some examples of application to simple specific computations.
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