Controlled NOT Gate Parallelization via Qubit Reordering
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Solution Overview
Problem
Current quantum computing simulations face inefficiencies in execution time and storage space, particularly due to unbalanced memory access and fragmented access issues in Non-Uniform Memory Access (NUMA) architectures during the simulation of controlled NOT gates.
Innovation Solution
Implementing qubit-reordering and memory access balancing techniques to mitigate inefficient thread locality and fragmented access, by simulating controlled NOT gates during qubit-reordering and optimizing memory access patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If controlled NOT gate simulation is performed using conventional methods, then the quantum computation can be simulated, but the execution time is excessive and memory access is unbalanced
Solution Approach 1:
The patent segments the controlled NOT gate simulation into multiple parallel threads, where each thread handles a portion of the qubit operations. This segmentation allows concurrent execution of simulation tasks, reducing overall execution time by utilizing multiple processing cores simultaneously.
Solution Approach 2:
The patent performs preliminary qubit reordering before the main simulation execution. By reorganizing qubits in advance to optimize memory access patterns, the simulation avoids fragmented access during execution, improving cache utilization and reducing memory access latency.
2Ease of operation
If conventional simulation methods are used, then quantum memory can be accessed, but fragmented access patterns cause inefficiency
Solution Approach 1:
The patent performs preliminary qubit reordering to arrange qubits in a pattern that optimizes memory access continuity. This preliminary arrangement ensures that during simulation execution, memory accesses follow sequential or predictable patterns, reducing cache misses and improving memory access efficiency.
Solution Approach 2:
The patent changes the memory access parameters by implementing thread-locality optimization, where threads are assigned to access specific memory regions based on their assigned qubits. This parameter change transforms random fragmented access into structured, localized access patterns, improving memory utilization efficiency.
3Productivity
If standard qubit ordering is maintained, then the simulation structure is simple, but thread locality is inefficient
Solution Approach 1:
The patent implements qubit reordering as a preliminary step before simulation execution. This one-time reordering operation optimizes thread locality for the entire simulation run, allowing threads to efficiently access localized memory regions without requiring complex runtime reorganization, thus balancing simplicity with performance.
4Productivity
If memory access balancing is not implemented, then the simulation code is simpler, but storage space utilization is inefficient
Solution Approach 1:
The patent implements memory access balancing through preliminary qubit reordering that groups qubits by their memory access patterns. This preliminary organization enables more efficient storage space utilization during simulation by ensuring that frequently accessed qubit data is located in contiguous memory regions, reducing memory fragmentation and improving cache utilization.
Data Source
AI summary
Techniques facilitating controlled NOT gate parallelization in quantum computing simulation are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a selector component that can select a first qubit and a second qubit. The first qubit can be a control qubit. The computer executable components can also comprise a parallelization component that can reorder the first qubit with the second qubit and a replication component that can simulate a controlled NOT gate during the reordering by the parallelization component.