Detecting Events of Interest using Quantum Resonance Interferometry

Abstract

Incoming data from, for example, an array of detectors, may be received. A dynamical system may be initialized corresponding to a modality of the incoming data so that a measurement probe based on the initialized dynamical system may be generated. Such a measurement probe may be injected into a quantum mechanical system so that it may be determined whether the injection of the measurement probe into the quantum mechanical system results in a collapse of the quantum mechanical system. Thereafter, it may be determined that a signal is present within the incoming data if the quantum mechanical system collapses. Related methods, apparatuses, systems, and computer-program products are also described.

1 . A method comprising:
 receiving incoming data;   initializing a dynamical system corresponding to a modality of the incoming data;   generating a measurement probe based on the initialized dynamical system;   injecting, with one or more computing apparatus, the measurement probe into a computational quantum mechanical system;   determining whether the injection of the measurement probe into the computational quantum mechanical system results in a collapse of the computational quantum mechanical system;   determining a presence of a signal within the incoming data if the computational quantum mechanical system collapses, and   if the computational quantum mechanical system does not collapse, repeating the injection of the measurement probe into the computational quantum mechanical system to cause collapse of the computational quantum mechanical system and detection of the signal.   
     
     
         2 . A method as in  claim 1 , wherein the initializing comprises initializing a trajectory of the dynamical system corresponding to the modality of the incoming data; and
 wherein the generating comprises generating the measurement probe based on a modification of the trajectory of the dynamical system.   
     
     
         3 . A method as in  claim 1 , further comprising counting a number of iterations required to collapse the computational quantum mechanical system. 
     
     
         4 . A method as in  claim 3 , further comprising associating the number of iterations with a signal magnitude. 
     
     
         5 . A method comprising:
 injecting, using a computing device, a measurement probe into a computational quantum mechanical system;   repeating the injection of the measurement probe into the computational quantum mechanical system, as needed, to cause collapse of the computational quantum mechanical system; and   determining a presence of a signal within incoming arrayed data based on the collapse of the computational quantum mechanical system.   
     
     
         6 . A method as in  claim 5 , further comprising:
 determining a magnitude of the signal based on an amount of time between the injection of the measurement probe and the collapse of the computational quantum mechanical system.   
     
     
         7 - 10 . (canceled) 
     
     
         11 . A method as in  claim 1 , further comprising:
 obtaining multiple reference output data samples having known quantitative measurements over a range of detected intensities;   identifying a plurality of regions across the reference samples in which the quantitative measurement varies with detected intensities in a quasi-linear fashion;   modeling each of the regions to associate the quantitative measurement with detected magnitude; and   associating, for the sample data, each of the detected intensities with a region and determining the quantitative measurement using the model for the associated region.   
     
     
         12 - 20 . (canceled) 
     
     
         21 . A system comprising:
 a hardware processor; and   a non-transitory computer-readable medium coupled with the hardware processor, the non-transitory computer-readable medium embodying instructions to cause the hardware processor to perform operations including:
 injecting a measurement probe into a computational quantum mechanical system; 
 repeating the injection of the measurement probe into the computational quantum mechanical system, as needed, to cause collapse of the computational quantum mechanical system; and 
 determining a presence of a signal within incoming data based on the collapse of the quantum mechanical system. 
   
     
     
         22 . A system as in  claim 21 , wherein the operations further comprise:
 receiving the incoming data;   initializing a dynamical system corresponding to a modality of the incoming data; and   generating the measurement probe based on the initialized dynamical system.   
     
     
         23 . A system as in  claim 22 , wherein the initializing comprises initializing a trajectory of the dynamical system corresponding to the modality of the incoming data; and
 wherein the generating comprises generating the measurement probe based on a modification of the trajectory of the dynamical system.   
     
     
         24 . A system as in  claim 21 , wherein the operations further comprise counting a number of iterations required to collapse the computational quantum mechanical system. 
     
     
         25 . A system as in  claim 24 , wherein the operations further comprise associating the number of iterations with a signal magnitude. 
     
     
         26 . A system as in  claim 21 , wherein the operations further comprise determining a magnitude of the signal based on an amount of time between the injection of the measurement probe and the collapse of the computational quantum mechanical system. 
     
     
         27 . A system as in  claim 21 , wherein the operations further comprise:
 obtaining multiple reference output data samples having known quantitative measurements over a range of detected intensities;   identifying a plurality of regions across the reference samples in which the quantitative measurement varies with detected intensities in a quasi-linear fashion;   modeling each of the regions to associate the quantitative measurement with detected magnitude; and   associating, for the sample data, each of the detected intensities with a region and determining the quantitative measurement using the model for the associated region.