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run_experiments.bat
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132 lines (104 loc) · 11.8 KB
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@echo off
REM ============================================================
REM Full Experiment Battery - Quantum Contrastive Supervised
REM
REM Reproduces all experiments from the report:
REM - 12 Tensor Ring runs (4 qubits)
REM - 8 MERA runs (6 qubits)
REM
REM Common hyperparameters:
REM batch-size=64, epochs=200, linear-epochs=200, lr=3e-4,
REM temperature=0.5, weight-decay=1e-4, warmup-epochs=20,
REM seed=42, num-classes=10, val-split=0.2, patience=30,
REM n-samples-per-class=500
REM ============================================================
echo ============================================================
echo EXPERIMENT BATTERY - Quantum Contrastive Supervised
echo ============================================================
echo Started at: %date% %time%
echo ============================================================
REM ============================================================
REM SECTION 1: Tensor Ring (4 qubits, 2 layers, cosine scheduler)
REM ============================================================
echo.
echo [TR] ResNet-18 + Angle + 2 layers + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_simclr_angle_500 --wandb-tags "tensor_ring,simclr,angle,n500,qubits4,depth2,cosine"
echo.
echo [TR] CNN + Angle + 2 layers + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_cnn_angle_500 --wandb-tags "tensor_ring,cnn,angle,n500,qubits4,depth2,cosine"
echo.
echo [TR] ResNet-18 + Amplitude + 2 layers + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_simclr_amplitude_500 --wandb-tags "tensor_ring,simclr,amplitude,n500,qubits4,depth2,cosine"
echo.
echo [TR] CNN + Amplitude + 2 layers + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_cnn_amplitude_500 --wandb-tags "tensor_ring,cnn,amplitude,n500,qubits4,depth2,cosine"
REM ============================================================
REM SECTION 2: Tensor Ring (4 qubits, 2 layers, no scheduler)
REM ============================================================
echo.
echo [TR] ResNet-18 + Angle + 2 layers + No Scheduler
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_simclr_angle_500_nolr --no-scheduler --wandb-tags "tensor_ring,simclr,angle,n500,qubits4,depth2,no_scheduler"
echo.
echo [TR] CNN + Angle + 2 layers + No Scheduler
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_cnn_angle_500_nolr --no-scheduler --wandb-tags "tensor_ring,cnn,angle,n500,qubits4,depth2,no_scheduler"
echo.
echo [TR] ResNet-18 + Amplitude + 2 layers + No Scheduler
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_simclr_amplitude_500_nolr --no-scheduler --wandb-tags "tensor_ring,simclr,amplitude,n500,qubits4,depth2,no_scheduler"
echo.
echo [TR] CNN + Amplitude + 2 layers + No Scheduler
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_cnn_amplitude_500_nolr --no-scheduler --wandb-tags "tensor_ring,cnn,amplitude,n500,qubits4,depth2,no_scheduler"
REM ============================================================
REM SECTION 3: Tensor Ring (4 qubits, 1 layer, cosine scheduler)
REM ============================================================
echo.
echo [TR] ResNet-18 + Angle + 1 layer + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_simclr_angle_500_layers1 --num-layers 1 --wandb-tags "tensor_ring,simclr,angle,n500,qubits4,depth1,cosine"
echo.
echo [TR] CNN + Angle + 1 layer + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_cnn_angle_500_layers1 --num-layers 1 --wandb-tags "tensor_ring,cnn,angle,n500,qubits4,depth1,cosine"
echo.
echo [TR] ResNet-18 + Amplitude + 1 layer + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_simclr_amplitude_500_layers1 --num-layers 1 --wandb-tags "tensor_ring,simclr,amplitude,n500,qubits4,depth1,cosine"
echo.
echo [TR] CNN + Amplitude + 1 layer + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_cnn_amplitude_500_layers1 --num-layers 1 --wandb-tags "tensor_ring,cnn,amplitude,n500,qubits4,depth1,cosine"
REM ============================================================
REM SECTION 4: MERA (6 qubits, cosine scheduler)
REM ============================================================
echo.
echo ============================================================
echo MERA EXPERIMENT BATTERY - circuit-type mera, 6 qubits
echo ============================================================
echo.
echo [MERA] ResNet-18 + Amplitude + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_simclr_amplitude_500_mera --circuit-type mera --num-qubits 6 --wandb-tags "mera,simclr,amplitude,n500,qubits6,cosine"
echo.
echo [MERA] CNN + Amplitude + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_cnn_amplitude_500_mera --circuit-type mera --num-qubits 6 --wandb-tags "mera,cnn,amplitude,n500,qubits6,cosine"
echo.
echo [MERA] ResNet-18 + Angle + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_simclr_angle_500_mera --circuit-type mera --num-qubits 6 --wandb-tags "mera,simclr,angle,n500,qubits6,cosine"
echo.
echo [MERA] CNN + Angle + Cosine
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_cnn_angle_500_mera --circuit-type mera --num-qubits 6 --wandb-tags "mera,cnn,angle,n500,qubits6,cosine"
REM ============================================================
REM SECTION 5: MERA (6 qubits, no scheduler)
REM ============================================================
echo.
echo [MERA] ResNet-18 + Amplitude + No Scheduler
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_simclr_amplitude_500_mera_nolr --circuit-type mera --num-qubits 6 --no-scheduler --wandb-tags "mera,simclr,amplitude,n500,qubits6,no_scheduler"
echo.
echo [MERA] CNN + Amplitude + No Scheduler
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding amplitude --n-samples-per-class 500 --exp-name enc_cnn_amplitude_500_mera_nolr --circuit-type mera --num-qubits 6 --no-scheduler --wandb-tags "mera,cnn,amplitude,n500,qubits6,no_scheduler"
echo.
echo [MERA] ResNet-18 + Angle + No Scheduler
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder simclr --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_simclr_angle_500_mera_nolr --circuit-type mera --num-qubits 6 --no-scheduler --wandb-tags "mera,simclr,angle,n500,qubits6,no_scheduler"
echo.
echo [MERA] CNN + Angle + No Scheduler
uv run src/quantum/contrastive_supervised.py --use-wandb --batch-size 64 --epochs 200 --linear-epochs 200 --lr 3e-4 --temperature 0.5 --device cpu --weight-decay 1e-4 --warmup-epochs 20 --seed 42 --num-classes 10 --val-split 0.2 --patience 30 --encoder cnn --quantum-encoding angle --n-samples-per-class 500 --exp-name enc_cnn_angle_500_mera_nolr --circuit-type mera --num-qubits 6 --no-scheduler --wandb-tags "mera,cnn,angle,n500,qubits6,no_scheduler"
echo.
echo ============================================================
echo ALL EXPERIMENTS COMPLETED
echo ============================================================
echo Finished at: %date% %time%
echo ============================================================