Hybrid Quantum-Classical Computing With Real-Time Error Correction
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Solution Overview
Problem
Existing quantum computing systems face challenges in efficiently correcting errors in quantum programs, leading to resource wastage due to unresolvable errors, and there is a need to leverage quantum computing capabilities to enhance classical computing performance.
Innovation Solution
A hybrid quantum-classical computing environment is introduced, where real-time engines and classical computing engines communicate asynchronously to control quantum processors, enabling error correction and optimizing quantum circuit performance through classical function calls and responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum programs are executed on quantum processors, then quantum computing capabilities are utilized, but errors occur that are difficult to correct in real-time, resulting in resource wastage
Solution Approach 1:
The system implements real-time feedback mechanisms where classical computing engines receive quantum measurement results and send control signals back to adjust quantum program execution. This feedback loop enables dynamic error detection and correction, allowing the system to respond to quantum errors as they occur and prevent resource wastage by adjusting programs before errors become unresolvable.
Solution Approach 2:
Classical computing engines serve as intermediaries between quantum processors and the control system. These classical engines receive quantum measurement information, process error correction algorithms, and generate control signals to adjust quantum program execution in real-time, enabling sophisticated error management without directly controlling the quantum hardware.
2Productivity
If real-time control of quantum processor components is implemented, then quantum program execution is optimized, but system complexity increases due to multiple engines and communication protocols
Solution Approach 1:
The control system is segmented into distinct functional modules: real-time engines that execute quantum programs, classical computing engines that handle error correction and optimization, and communication interfaces that coordinate between them. This segmentation allows each component to specialize in specific tasks, improving overall execution efficiency while managing complexity through modular architecture.
Solution Approach 2:
The classical computing engines are designed with multi-functionality, capable of executing various error correction algorithms, optimizing quantum programs, and processing measurement results. This universal design reduces the need for separate dedicated components for each function, thereby managing system complexity while maintaining high productivity.
3Reliability
If classical functions are called during quantum program execution, then error correction and optimization are enabled, but execution time increases due to communication overhead between engines
Solution Approach 1:
The system performs preliminary actions by pre-loading error correction algorithms and quantum programs into the real-time engines before execution begins. This preparation allows the engines to operate more efficiently during actual quantum program execution, reducing the need for time-consuming communication and function calls during critical operations.
Solution Approach 2:
The hybrid system maintains continuous useful action by overlapping quantum program execution with error correction processing. While quantum circuits are executing, classical computing engines simultaneously process measurement results and prepare correction algorithms, so that when corrections are needed, the infrastructure is already ready, minimizing communication delays and maintaining continuous productive operation.
Data Source
AI summary
One or more real time engines of a quantum computer provide quantum measurement information to a classical computing engine via a classical function call. The quantum computer includes a controller comprising the one or more real time engines in communication with the classical computing engine, and a quantum processor. The controller is configured to control operation of one or more components of the quantum processor. The real time engines receive a classical call response comprising an indication of a result determined via execution of a classical function by the classical computing engine based at least in part on the classical function call; and control operation of the one or more components of the quantum processor based at least in part on the result.