Modular Quantum Control Using Core Partitioning and Boundary Qubits
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Solution Overview
Problem
Current quantum computing systems face challenges in efficiently compiling, calibrating, and executing quantum algorithms due to the complexity of large-scale quantum operations, which are often hindered by the need to tune individual quantum logic gates and manage complex interactions between qubits.
Innovation Solution
A modular control approach is implemented using software-defined modularity and optimal control theory (OCT) routines, allowing for the compilation and execution of quantum algorithms across multiple qubits by generating control sequences that target gates over subsets of qubits, reducing complexity and enabling scalable quantum computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual quantum logic gates are tuned and managed for large-scale quantum operations, then quantum computation can be performed, but the complexity of compiling, calibrating, and executing quantum algorithms increases significantly
Solution Approach 1:
The patent divides the quantum processor into multiple modular cores, where each core is a self-contained unit with its own qubits and control logic. This segmentation allows independent compilation and calibration of each core, reducing the overall complexity of managing large-scale quantum operations while maintaining quantum computation capability across the entire processor.
2Adaptability or versatility
If a universal set of individual quantum logic gates is used, then quantum algorithms can be executed, but the calibration and tuning process becomes increasingly complex with scale
Solution Approach 1:
Each modular core in the quantum processor is designed to implement a universal set of quantum logic gates locally. This allows any quantum algorithm to be executed by composing operations within and across cores, maintaining versatility while simplifying calibration since each core can be independently tuned using the same universal gate set rather than requiring custom calibration for each operation.
3Productivity
If control sequences are generated for multiple qubits simultaneously, then quantum algorithms can be executed, but the analytical complexity required for gate operations increases
Solution Approach 1:
The control system generates control sequences by dividing the quantum processor into modular cores, compiling algorithms into sequences that operate on individual cores independently before coordinating between cores. This segmentation reduces analytical complexity by breaking down multi-qubit control problems into smaller, manageable sub-problems that can be solved separately and then composed.
Solution Approach 2:
The patent introduces boundary qubits as intermediary elements between modular cores. These boundary qubits facilitate controlled interactions between cores while maintaining a clear separation of control domains. The intermediary structure simplifies the generation of control sequences by providing well-defined interfaces between cores, reducing the overall analytical complexity of multi-core coordination.
Data Source
AI summary
In a general aspect, a quantum computing method is described. In some aspects, a control system in a quantum computing system assigns subsets of qubit devices in a quantum processor to respective cores. The control system identifies boundary qubit devices residing between the cores in the quantum processor and generates control sequences for each respective core. A signal delivery system in communication with the control system and the quantum processor receives control signals to execute the control sequences, and the control signals are applied to the respective cores in the quantum processor.