[QDP] Update benchmark_throughput to batch encoding

[400Ping]

Purpose of PR

Update throughput benchmark to batch encoding

Related Issues or PRs

Closes #795

Changes Made

• Bug fix
• New feature
• Refactoring
• Documentation
• Test
• CI/CD pipeline
• Other

Breaking Changes

• Yes
• No

Checklist

• Added or updated unit tests for all changes
• Added or updated documentation for all changes
• Successfully built and ran all unit tests or manual tests locally
• PR title follows "MAHOUT-XXX: Brief Description" format (if related to an issue)
• Code follows ASF guidelines

[400Ping]

Before(dev-qdp):

$ python ./qdp-python/benchmark/benchmark_throughput.py
Generating 12800 samples of 16 qubits...
  Batch size   : 64
  Vector length: 65536
  Batches      : 200
  Prefetch     : 16
  Frameworks   : pennylane, qiskit, mahout
  Generated 12800 samples
  PennyLane/Qiskit format: 6400.00 MB
  Mahout format: 6400.00 MB

======================================================================
DATALOADER THROUGHPUT BENCHMARK: 16 Qubits, 12800 Samples
======================================================================

[PennyLane] Full Pipeline (DataLoader -> GPU)...
/home/jay/work/mahout/qdp/./qdp-python/benchmark/benchmark_throughput.py:170: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /pytorch/aten/src/ATen/native/Copy.cpp:309.)
  state_gpu = state_cpu.to("cuda", dtype=torch.float32)
  Total Time: 6.7562 s (1894.6 vectors/sec)

[Qiskit] Full Pipeline (DataLoader -> GPU)...

        
  Total Time: 848.2128 s (15.1 vectors/sec)

[Mahout] Full Pipeline (DataLoader -> GPU)...
  IO + Encode Time: 9.7979 s
  Total Time: 9.7979 s (1306.4 vectors/sec)

======================================================================
THROUGHPUT (Higher is Better)
Samples: 12800, Qubits: 16
======================================================================
PennyLane        1894.6 vectors/sec
Mahout           1306.4 vectors/sec
Qiskit             15.1 vectors/sec
----------------------------------------------------------------------
Speedup vs PennyLane:       0.69x
Speedup vs Qiskit:         86.57x

After:

$ python ./qdp-python/benchmark/benchmark_throughput.py
Generating 12800 samples of 16 qubits...
  Batch size   : 64
  Vector length: 65536
  Batches      : 200
  Prefetch     : 16
  Frameworks   : pennylane, qiskit, mahout
  Generated 12800 samples
  PennyLane/Qiskit format: 6400.00 MB
  Mahout format: 6400.00 MB

======================================================================
DATALOADER THROUGHPUT BENCHMARK: 16 Qubits, 12800 Samples
======================================================================

[PennyLane] Full Pipeline (DataLoader -> GPU)...
/home/jay/work/mahout/qdp/./qdp-python/benchmark/benchmark_throughput.py:169: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /pytorch/aten/src/ATen/native/Copy.cpp:309.)
  state_gpu = state_cpu.to("cuda", dtype=torch.float32)
  Total Time: 6.7298 s (1902.0 vectors/sec)

[Qiskit] Full Pipeline (DataLoader -> GPU)...

  Total Time: 854.9839 s (15.0 vectors/sec)

[Mahout] Full Pipeline (DataLoader -> GPU)...
  IO + Encode Time: 3.6776 s
  Total Time: 3.6776 s (3480.5 vectors/sec)

======================================================================
THROUGHPUT (Higher is Better)
Samples: 12800, Qubits: 16
======================================================================
Mahout           3480.5 vectors/sec
PennyLane        1902.0 vectors/sec
Qiskit             15.0 vectors/sec
----------------------------------------------------------------------
Speedup vs PennyLane:       1.83x
Speedup vs Qiskit:        232.48x

[400Ping]

cc @guan404ming @rich7420 @ryankert01

[ryankert01]

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