Quantum Logic Control Sequence Generation for Qubit Connectivity
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Solution Overview
Problem
Existing quantum computing systems face inefficiencies in generating quantum logic control sequences due to fixed qubit-qubit connectivity, leading to increased error correction needs and longer computation times.
Innovation Solution
Generating quantum logic control sequences based on the specific qubit-qubit connectivity of the quantum information processor, represented as a graph, to optimize quantum logic circuits for fewer gates, reduced overhead, and improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If quantum logic control sequences are generated without considering specific qubit-qubit connectivity, then the generation process is simpler, but the number of quantum logic gates increases and computation time lengthens
Solution Approach 1:
The system dynamically adapts the quantum logic control sequence generation to match the specific connectivity architecture of the quantum information processor. By making the generation process responsive to hardware-specific connectivity patterns rather than using a fixed universal approach, the system optimizes gate sequences for the actual physical layout, reducing unnecessary gates while maintaining generation feasibility.
Solution Approach 2:
The invention changes the parameters of the control sequence generation by incorporating connectivity-specific constraints and optimizations. Instead of using generic gate sequence generation, the system adjusts the generation parameters to account for specific qubit-qubit connectivity patterns, resulting in more efficient sequences that exploit the actual hardware architecture.
2Ease of manufacture
If quantum logic control sequences are generated without considering specific qubit-qubit connectivity, then the generation process is simpler, but error correction needs increase
Solution Approach 1:
The system dynamically adapts the quantum logic control sequence generation to match the specific connectivity architecture of the quantum information processor. By making the generation process responsive to hardware-specific connectivity patterns rather than using a fixed universal approach, the system optimizes gate sequences for the actual physical layout, reducing unnecessary gates while maintaining generation feasibility.
Solution Approach 2:
The invention changes the parameters of the control sequence generation by incorporating connectivity-specific constraints and optimizations. Instead of using generic gate sequence generation, the system adjusts the generation parameters to account for specific qubit-qubit connectivity patterns, resulting in more efficient sequences that exploit the actual hardware architecture.
3Productivity
If the number of quantum logic gates is reduced, then computation time decreases and accuracy improves, but the requirement for connectivity-aware sequence generation increases system complexity
Solution Approach 1:
The system implements a universal control sequence generation framework that can adapt to multiple different quantum information processor architectures. By creating a multi-functional generation system that handles various connectivity patterns through a unified approach, the invention reduces the need for separate optimization routines for each hardware configuration, thereby managing complexity while achieving connectivity-specific optimizations.
4Productivity
If quantum logic circuits are optimized for fewer gates, then overhead is reduced and accuracy is enhanced, but the need for connectivity-specific optimization increases computational overhead
Solution Approach 1:
The system performs preliminary analysis of the quantum information processor's connectivity architecture before generating control sequences. By pre-characterizing the hardware connectivity patterns and preparing optimization strategies in advance, the invention reduces the computational overhead during actual sequence generation, achieving connectivity-specific optimization without excessive time cost.
Data Source
AI summary
In a general aspect, a quantum logic control sequence is generated for a quantum information processor. In some aspects, a quantum computation to be performed by a quantum information processor is identified. The quantum information processor includes data qubits and is configured to apply entangling quantum logic operations to respective pairs of the data qubits. A graph representing the quantum information processor is defined. The graph includes vertices and edges; the vertices represent the data qubits, and the edges represent the entangling quantum logic operations. A quantum logic control sequence is generated based on the graph. The quantum logic control sequence includes a sequence of quantum logic operations configured to perform the quantum computation when executed by the quantum information processor.