Quantum Circuit Generation Through Complexity Reduction
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Solution Overview
Problem
Current quantum processing units (QPUs) require specialized inputs and outputs that are challenging for end users to prepare, and existing interfaces do not perform significant pre-processing, limiting the utilization of quantum hardware.
Innovation Solution
A method and system for generating quantum circuits by analyzing problems for complexity reductions, translating quantum algorithms into circuits, and submitting them to QPUs, allowing for hybrid classical-quantum processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If quantum circuits are directly submitted to QPUs without pre-processing, then the quantum hardware can be utilized, but the problem complexity remains high and requires significant user preparation
Solution Approach 1:
The system performs preliminary actions by automatically analyzing the problem, identifying reductions in complexity, and generating quantum algorithms before the user submits the circuit to the QPU. This pre-processing reduces the burden on the user and simplifies the overall workflow.
Solution Approach 2:
The system acts as an intermediary between the user's problem and the QPU by introducing automated analysis and quantum algorithm generation components. This intermediary layer transforms the raw problem into an optimized quantum circuit without requiring the user to have specialized quantum knowledge.
2Productivity
If existing QPU interfaces are used without significant pre-processing, then quantum hardware access is enabled, but the utilization of quantum hardware is limited
Solution Approach 1:
The system performs preliminary analysis of the problem to identify reductions in complexity and generates optimized quantum algorithms before submission to the QPU. This increases quantum hardware utilization by ensuring that the most suitable algorithms are used for each problem.
Solution Approach 2:
The system changes the parameters of the problem representation by transforming it into a form that is optimized for quantum processing. This involves identifying and applying reductions in complexity that change the problem's characteristics to better suit quantum hardware capabilities.
3Reliability
If quantum circuits require specialized inputs and outputs, then quantum processing capability is maintained, but accessibility to users without specialized knowledge is reduced
Solution Approach 1:
The system provides self-service by automatically generating the specialized quantum circuit inputs required for accurate quantum processing. Users simply need to provide their problem, and the system handles the complex task of translating it into the specialized format needed for reliable quantum execution.
Solution Approach 2:
The system serves as an intermediary that translates between general problem statements and the specialized inputs required by quantum processors. This mediation layer maintains quantum processing accuracy while making the system accessible to users without specialized quantum knowledge.
Data Source
AI summary
A method for generating one or more quantum circuits to be evaluated by one or more QPUs is disclosed. The method includes obtaining a problem to be solved using one or more QPUs and analyzing the problem for reductions in complexity to obtain a reduced problem. One or more quantum algorithms are generated to implement a potential solution to the reduced problem, and the quantum algorithms are translated into one or more quantum circuits. The method further includes transmitting the one or more quantum circuits to the one or more QPUs.