Quantum Demo & Integration Guidance
Budget: ₹12,500 – ₹37,500 INR
Project Overview:
We are developing a high-performance on-premises quantum simulator (40+ qubits) and need an engineer to:
Prepare a technical demonstration of quantum algorithms at scale.
Advise on system integration for production deployment.
The exact platform for the demo (cloud vs. on-prem) is being finalized — flexibility is required.
Scope of Work:
Phase 1: Technical Demonstration (Immediate)
Develop and execute 7 quantum algorithms at 40-qubit scale:
Quantum Fourier Transform (QFT)
Quantum Approximate Optimization Algorithm (QAOA)
Shor’s Algorithm (simplified, scalable)
Grover’s Algorithm
Variational Quantum Eigensolver (VQE)
Quantum Noise Simulation
Quantum Machine Learning (QCNN/HLL)
Deliverables:
Clean, documented code (Python/Jupyter)
Screenshots/logs of successful execution
Performance metrics (runtime, memory usage)
Brief technical report explaining methods and results
Phase 2: System Integration Advisory (Optional follow-on)
Support deployment on on-prem HPC cluster (9 TB RAM, 500 TB storage, multi-node).
Performance tuning (GPU acceleration, parallelization).
Assistance during client acceptance testing.
We are developing a high-performance on-premises quantum simulator (40+ qubits) and need an engineer to:
Prepare a technical demonstration of quantum algorithms at scale.
Advise on system integration for production deployment.
The exact platform for the demo (cloud vs. on-prem) is being finalized — flexibility is required.
Scope of Work:
Phase 1: Technical Demonstration (Immediate)
Develop and execute 7 quantum algorithms at 40-qubit scale:
Quantum Fourier Transform (QFT)
Quantum Approximate Optimization Algorithm (QAOA)
Shor’s Algorithm (simplified, scalable)
Grover’s Algorithm
Variational Quantum Eigensolver (VQE)
Quantum Noise Simulation
Quantum Machine Learning (QCNN/HLL)
Deliverables:
Clean, documented code (Python/Jupyter)
Screenshots/logs of successful execution
Performance metrics (runtime, memory usage)
Brief technical report explaining methods and results
Phase 2: System Integration Advisory (Optional follow-on)
Support deployment on on-prem HPC cluster (9 TB RAM, 500 TB storage, multi-node).
Performance tuning (GPU acceleration, parallelization).
Assistance during client acceptance testing.