State vector collapse as a classical statistical effect of measurement

Yakir Aharonov, Eliahu Cohen, Eyal Gruss +1 more

Marcello Cini, Maurizio Serva

The absence of a general consensus among physicists about the old question of the measurement induced state vector collapse in quantum mechanics is, at first sight, puzzling. It is true, of course that the question cannot, at least as yet, be settled by submitting it to the final decision of experiment. Still, one would like to understand better the main issue of disagreement which leads to such a wide variety of possible solutions. We believe that the origin of this disagreement lies in a fundamental ambiguity which exists in our understanding of the relation between quantum mechanics (QM) and classical statistical mechanics (CSM). For this reason we will start by discussing at length this ambiguity, whose clarification is, in our opinion, preliminary to any attempt to find a solution of the question which is the central theme of our Colloquium. We will come back to this question, therefore, only in the final part of this talk.

Cini

Where is the problem? by J.M. Levy-Leblond Experiment and quantum measurement theory by A. Zeilinger A consistent interpretation of quantum mechanics. The measurement process in the individual interpretation of quantum mechanics by H. Primas Principle of stationarity in the action functional and the theory of measurement by R. Fukuda Quantum (statistical) mechanics, measurement and information by R. Balian State vector collapse as a classical statistical effect of measurement by M. Cini and M. Serva Consecutive quantum measurements by A. Peres No-collapse versions of quantum mechanics by Y. Ben-Dov An attempt to understand the many-worlds interpretation of quantum theory by E.J. Squires Uncertainty and measurement by P.T. Landsberg Author Index

Basudev Nag Chowdhury

Jincheng Zhang

Quantum state vector collapse is a fundamental challenge in quantum measurement, often leading to errors and instability. This paper explores a novel quantum state vector collapse algorithm that leverages adaptive probability distributions to mitigate the energy required for collapse. We propose a mechanism where the algorithm dynamically adjusts the probability distribution based on the system's state and environment, effectively minimizing the "collapse energy" and promoting more stable and precise quantum measurements. The core claim is that this approach will significantly improve the reliability and efficiency of quantum measurement by reducing the inherent instability associated with traditional collapse methods. This work introduces a novel approach to quantum state vector collapse, offering a potential pathway toward more robust and accurate quantum experiments.