Multi-Channel Phased Antenna Beamforming With Quantum Search
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Solution Overview
Problem
Existing methods for optimizing the phase values of multi-channel antennas to achieve a specific antenna pattern are computationally inefficient and prone to getting stuck in local optima, especially for large-scale problems, leading to long computation times and suboptimal solutions.
Innovation Solution
Utilizing a quantum search algorithm, specifically the Grover algorithm, to determine phase values by checking a quantum oracle for compliance with desired antenna characteristics, exploiting quantum mechanical principles of superposition and entanglement to accelerate the computation and ensure global optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If classical iterative optimization algorithms are used to determine phase values for antenna pattern synthesis, then the computation can be performed on conventional digital computers, but the computational runtime increases significantly and the solution may get stuck in local optima
Solution Approach 1:
The patent replaces classical iterative optimization algorithms with a quantum search algorithm (Grover's algorithm) that utilizes quantum mechanical principles of superposition and entanglement. This substitution transforms the computational approach from classical sequential processing to quantum parallel processing, enabling simultaneous evaluation of multiple phase combinations and guaranteeing global optimization without getting stuck in local optima, while significantly reducing computational runtime.
2Adaptability or versatility
If the number of antenna channels increases to handle larger optimization problems, then the problem-solving capability improves, but the computational complexity and runtime increase exponentially
Solution Approach 1:
The patent transitions from classical computational dimensionality to quantum computational dimensionality by utilizing quantum superposition states. The quantum search algorithm operates in a high-dimensional Hilbert space, allowing it to handle exponentially larger problem spaces (antenna channel combinations) without exponential increases in computational resources. This dimensional transformation enables the system to solve large-scale antenna optimization problems that would be intractable for classical computers.
3Reliability
If exhaustive search of the entire problem space is performed to ensure optimal solution, then solution quality is guaranteed, but the computational effort becomes prohibitively large
Solution Approach 1:
The patent replaces exhaustive classical search with quantum search algorithms that leverage quantum parallelism and interference. The Grover's algorithm provides a quadratic speedup over classical exhaustive search, and when combined with quantum Fourier transform techniques, can achieve exponential speedup for certain optimization problems. This allows the system to guarantee optimal solution finding while maintaining high computational efficiency, avoiding the prohibitively large computational effort required by classical exhaustive search methods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Significantly reduces computational runtime and improves solution quality by enabling larger antenna optimization problems to be solved in a similar time frame as smaller problems, with a guaranteed finding of optimal solutions.
Implementation Method 1
exploiting quantum mechanical principles of superposition and entanglement to accelerate the computation
Implementation Method 2
exploiting quantum mechanical principles of superposition and entanglement to accelerate the computation
Data Source
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AI summary
A method and an antenna beamforming device are described for adjusting the directional characteristics of phase-controlled multi-channel antennas by controlling the phases (ϕi) for the signals of the individual antennas (Ai) in order to achieve a predetermined antenna characteristic (G̃(ϑ)). The phases (ϕi) are determined using a quantum search algorithm by checking with a quantum oracle whether the antenna characteristic (G(ϑ)) for phases (ϕi) and antenna far fields (ai(ϑ)) fulfill the conditions for the desired, predetermined antenna characteristic (G̃(ϑ)). The antenna beamforming device is configured to execute a quantum search algorithm.The quantum search algorithm is designed to determine the phases (ϕi) used for control by checking the fulfillment of a quantum oracle whether the antenna characteristics (G(ϑ)) for phases (ϕi) and antenna far fields (ai(ϑ)) of the individual antennas (Ai) satisfy the conditions for the desired predetermined antenna characteristics (G̃(ϑ)).