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DECODER_CONFIG.md

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BP+OSD Decoder Configuration for p=0.001 Target

Changes Made

1. Dataset Update

  • Changed from: sc_d3_r3_p0010_z (p=0.010)
  • Changed to: sc_d3_r3_p0001_z (p=0.001)
  • Dataset contains 10,000 syndrome samples

2. BP Iterations Increased

  • Changed from: BP_MAX_ITER = 20
  • Changed to: BP_MAX_ITER = 50
  • Rationale: More iterations needed for convergence at lower error rates

3. OSD Order

  • Maintained: OSD_ORDER = 15 (searches 2^15 = 32,768 candidates)
  • This provides good balance between accuracy and runtime

4. Test Configuration

  • Samples: 1000 (for reasonable runtime ~1.6 hours)
  • Batch size: 50
  • Device: CUDA (GPU acceleration enabled)

Target Performance

According to paper http://arxiv.org/abs/2005.07016:

  • Target logical error rate: 0.0001 (0.01%)
  • Code: d=3 rotated surface code
  • Physical error rate: p=0.001

Current Status

The decoder is running with the updated configuration:

  • File: run_batch_demo.py
  • Output log: decoder_output_1000.log
  • Monitor script: monitor_decoder.sh

Preliminary Results (100 samples)

  • BP-only: 0.0000 (0 errors)
  • BP+OSD-15: 0.0100 (1 error)

Expected Runtime

  • ~6 seconds per sample
  • 1000 samples: ~1.6 hours
  • Full 10,000 samples: ~16 hours

Monitoring Progress

To monitor the decoder progress:

./monitor_decoder.sh

Or check the log directly:

tail -f decoder_output_1000.log

Next Steps

  1. Wait for 1000-sample run to complete
  2. If logical error rate is close to target (0.0001), consider running with more samples
  3. If error rate is higher, may need to:
    • Increase OSD order (e.g., OSD-20 or OSD-25)
    • Further increase BP iterations
    • Adjust damping parameter

Files Modified

  • run_batch_demo.py: Updated dataset path, BP_MAX_ITER, and NUM_SAMPLES