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Updated: Aug 2, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Phase transitions in quantum pattern recognition
1InfoCodex SA, avenue Louis-Casai 18, CH-1209 Geneva, Switzerland and Theory Division, CERN, CH-1211 Geneva 23, Switzerland. ca.trugenberger@InfoCodex.com
Abstract:
With the help of quantum mechanics one can formulate a model of associative memory with optimal storage capacity. This model is generalized by introducing a parameter playing the role of an effective temperature. The corresponding thermodynamics provides criteria to tune the efficiency of quantum pattern recognition. It is shown that the associative memory undergoes a phase transition from a disordered, high-temperature phase with no correlation between input and output to an ordered, low-temperature phase with minimal input-output Hamming distance.
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