|
| |
| Activity title | Quantum Algorithms for Data Fusion and Resources Management | Activity Reference | SET-ET-132 | Panel | SET | Security Classification | NATO UNCLASSIFIED | Status | Active | Activity type | ET | Start date | 2023-11-06T00:00:00Z | End date | 2024-11-06T00:00:00Z | Keywords | adiabatic quantum computers, data association and resources assignment, gate based quantum computing, measurement based quantum computing MBQC, physicsinspired data classification and fusion, Quantum computing | Background | In all military domains, combat clouds integrate platforms, sensors, as well as communications, electronic warfare (EW), or weapon systems into a comprehensive system of systems. Quantum algorithms for data fusion, classification and resources assignment may become game changers for combat clouds, when quantum-processing kernels embedded in hybrid processing architectures become available. On the other hand, conceptual ideas taken from quantum physics can be made useful here to greater extent than before. | Objectives | While the military potential of emerging quantum technologies for communications, encryption, sensing, and computers directly use results from quantum physics, quantum algorithms do not exploit quantum physical phenomena as such, but rather use the framework and numerical methods of quantum physics to deal with “uncertainty”. This seems reasonable since for approaching fundamental uncertainty characterizing molecular, atomic, and subatomic levels, quantum physicists have developed powerful formalisms. Although the link between statistics and quantum physics has long been known, the proposed ET will contribute to realize the potential of physics-inspired algorithms to produce more effectively situation pictures and options for action, which is the very basis for military decision-making. | Topics | The quantum algorithms are to be identified, analyzed, and investigated via simulations and experiments with respect to clear and realistic use cases. This goal includes comparisons with competing classical methods. This is more than good science – it builds the kind of confidence in the solution and the hardware that NATO requires to achieve its mission. Moreover, quantum algorithms are implemented and evaluated on classical as well as quantum kernels. Availability of proper SW environment, machine codes and all other coding interfaces for SW developer to implement such quantum algorithms on the new quantum HW will be analyzed. Goals also include the notion that situational awareness and decision support need to be classically modeled in a way that can be transformed into a quantum algorithm. This will require “canonical” formulations for what is often termed higher-level fusion, but at present such formalism are not available. It is likely that quantum algorithms will spur their development to the mutual benefit of both. | | Contact Panel Office |
| |
|
|
|
