2013/08/18 by H. M. Bharath, Bharath, H. M., Saikat Ghosh +1
Biochemistry, Genetics and Molecular Biology · Chemical Engineering · Computer Science · Physics and Astronomy · #Analytical Chemistry and Sensors #FOS: Physical sciences #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Receptor Mechanisms and Signaling #quant-ph
paper · pdf · doi:10.48550/arxiv.1308.3833
4+1 pages and supplementary information
openalex publication_date 2013/08/18 · arxiv created 2014/06/12 · arxiv updated 2014/06/16 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
A formulation towards quantifying resource count used in a measurement, that is independent of the model of the measurement dynamics(Quantum/Classical), is considered. For any general measurement with (M+1) discrete outcomes, it is found that there is a unique probability distribution that minimizes the measurement error, with the error scaling as 1/M. For a measurement with a finite resource(R), this absolute bound implies the resource count to be equal to the possible outcomes i.e. R=M. This formulation therefore provides a model independent route towards estimating resource count used in any general measurement scheme.