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Amanda-D
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LLMs-Pharmaceutical
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[404218]
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Initial commit
Authored by:
Amanda-D
2025-04-19
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[fd7a76]
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/8Q80L H4RYe 0.2Noise 0.0396, 0.0344 96.5% 9.2GB kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/8Q80L H4RYeBEL.Z.6L 0.1Noise 0.0025, 0.0011, 100.0% 21.7GB kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/8Q80L H4RYeBEL.Z.6L 0.2Noise 0.0343, 0.0252, 98.0% 22.0GB kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/LICENSE.md
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/README.md
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Code/Quantum Parallel Architectures Progression/LICENSE.md
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/LICENSE.md
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B07 7RYe 0.1Noise 0.0271, 99.5% 2.0GB 43.86s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B08 7RYe 0.1Noise 0.0443, 97.0% 2.0GB 40.46s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B09 7RYe 0.1Noise 0.0185, 99.0% 2.0GB 38.34s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B10 7RYe 0.1Noise 0.0128, 99.5% 1.9GB 32.66s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B11 7RYe 0.1Noise 0.0316, 97.5% 2.0GB 32.22s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B12 7RYe 0.1Noise 0.0176, 99.0% 2.0GB 28.36s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B03 7RYe 0.1Noise 0.4462, 57.5% 2.0GB 169.20s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B04 7RYe 0.1Noise 0.0043, 100.0% 2.1GB 132.22s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B05 7RYe 0.1Noise 0.0044, 99.5% 2.0GB 116.78s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B06 7RYe 0.1Noise 0.0038, 100.0% 2.0GB 96.27s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B07 7RYe 0.1Noise 0.0047, 99.5% 2.0GB 81.14s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B08 7RYe 0.1Noise 0.0048, 99.5% 2.0GB 73.60s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B02 7RYe 0.1Noise 0.4434, 57.0% 2.2GB 396.60s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B03 7RYe 0.1Noise 0.0673, 93.5% 2.2GB 273.87s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B04 7RYe 0.1Noise 0.0025, 100.0% 2.2GB 214.56s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B05 7RYe 0.1Noise 0.0076, 100.0% 2.2GB 179.62s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B06 7RYe 0.1Noise 0.0102, 100.0% 2.2GB 151.98s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B07 7RYe 0.1Noise 0.0058, 100.0% 2.2GB 121.83s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/8Q80L H4RYeBEL.Z.6L 0.1Noise 0.0025, 0.0011, 100.0% 21.7GB kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/8Q80L H4RYeBEL.Z.6L 0.2Noise 0.0343, 0.0252, 98.0% 22.0GB kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/LICENSE.md
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Code/Quantum Parallel Architectures Progression/8Q80L Algorithm Loss Convergence/README.md
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/LICENSE.md
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B07 7RYe 0.1Noise 0.0271, 99.5% 2.0GB 43.86s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B08 7RYe 0.1Noise 0.0443, 97.0% 2.0GB 40.46s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B09 7RYe 0.1Noise 0.0185, 99.0% 2.0GB 38.34s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B10 7RYe 0.1Noise 0.0128, 99.5% 1.9GB 32.66s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B11 7RYe 0.1Noise 0.0316, 97.5% 2.0GB 32.22s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/2Q8L B12 7RYe 0.1Noise 0.0176, 99.0% 2.0GB 28.36s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B03 7RYe 0.1Noise 0.4462, 57.5% 2.0GB 169.20s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B04 7RYe 0.1Noise 0.0043, 100.0% 2.1GB 132.22s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B05 7RYe 0.1Noise 0.0044, 99.5% 2.0GB 116.78s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B06 7RYe 0.1Noise 0.0038, 100.0% 2.0GB 96.27s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B07 7RYe 0.1Noise 0.0047, 99.5% 2.0GB 81.14s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/4Q8L B08 7RYe 0.1Noise 0.0048, 99.5% 2.0GB 73.60s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B02 7RYe 0.1Noise 0.4434, 57.0% 2.2GB 396.60s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B03 7RYe 0.1Noise 0.0673, 93.5% 2.2GB 273.87s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B04 7RYe 0.1Noise 0.0025, 100.0% 2.2GB 214.56s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B05 7RYe 0.1Noise 0.0076, 100.0% 2.2GB 179.62s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B06 7RYe 0.1Noise 0.0102, 100.0% 2.2GB 151.98s kkawchak.ipynb
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Code/Quantum Parallel Architectures Progression/Q 2 4 6 8 Batch, Layers/Q 2 4 6 8 Batch Study/6Q8L B07 7RYe 0.1Noise 0.0058, 100.0% 2.2GB 121.83s kkawchak.ipynb
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