Conversation
Implements the QuantumGPUClient architecture to enable direct, zero-orchestration communication between GPUs and QPUs. This includes: - `IHardwareQPUInterface`: Abstract base class for QPU hardware interaction (DMA setup, event registration). - `QuantumGPUClient`: Client class to manage shared buffers and event creation. - `QPUEvent` and `GPUCompletionEvent`: Classes representing hardware synchronization signals. - `tests/test_quantum_gpu_client.py`: Unit tests verifying the API and workflow using a mock interface. This implementation lays the groundwork for ultra-low latency hybrid quantum-classical computing by removing CPU orchestration overheads.
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
1 participant
Implemented the QuantumGPUClient architecture as requested. This adds
thrml/quantum_gpu_client.pycontaining theQuantumGPUClientclass,IHardwareQPUInterface, and event classes. Also added a comprehensive test suite intests/test_quantum_gpu_client.pysimulating the hardware workflow. The implementation uses abstract base classes to allow future concrete implementations for specific hardware (FPGA, ASIC).PR created automatically by Jules for task 11725920309534026459 started by @igor-holt