Quantum Processor Subset Summing for Strategic Decision-Making
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Solution Overview
Problem
Current quantum computing systems lack an efficient approach for automated decision-making in strategic scenarios, which is limited by memory, time, and processing constraints of classical computing methods.
Innovation Solution
The implementation of a quantum processor system that receives a reward matrix, converts its format to qubits, performs subset summing operations to select rows based on value combinations, determines normalized quantum probabilities, and makes decisions to control electronic devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If quantum computing systems use classical computing methods for decision-making, then the system structure is simpler, but the processing speed and accuracy are limited by memory and time constraints
Solution Approach 1:
The patent replaces classical mechanical computing systems with quantum computing systems that utilize quantum mechanical properties (superposition, entanglement, interference) to perform computations. This substitution enables parallel processing of multiple states simultaneously, dramatically increasing processing speed for complex decision-making tasks while accepting the increased system complexity inherent in quantum hardware.
2Measurement precision
If quantum computing systems process multiple states in parallel, then decision-making accuracy improves, but the device complexity increases
Solution Approach 1:
The patent changes the fundamental parameters of computation by transitioning from classical binary states to quantum states characterized by superposition and entanglement. This parameter change allows the system to represent and process multiple possible decisions simultaneously, improving decision-making accuracy through quantum parallelism while managing the inherent complexity through specialized quantum algorithms and hardware design.
3Productivity
If classical computing methods are used for strategic scenarios, then the system is easier to operate, but the processing time increases
Solution Approach 1:
The patent implements preliminary action by preparing quantum states in superposition that encode multiple possible decisions and their outcomes before the actual decision-making process. This preliminary preparation of quantum states allows the system to evaluate multiple strategic scenarios simultaneously, dramatically reducing processing time for complex strategic decisions while improving overall productivity.
Data Source
AI summary
Systems and methods for operating a quantum processor. The methods comprise: receiving a reward matrix at the quantum processor, the reward matrix comprising a plurality of values that are in a given format and arranged in a plurality of rows and a plurality of columns; converting, by the quantum processor, the given format of the plurality of values to a qubit format; performing, by the quantum processor, subset summing operations to make a plurality of row selections based on different combinations of the values in the qubit format; using, by the quantum processor, the plurality of row selections to determine a normalized quantum probability for a selection of each row of the plurality of rows; making, by the quantum processor, a decision based on the normalized quantum probabilities; and causing, by the quantum processor, operations of an electronic device to be controlled or changed based on the decision.