Quantum Simulation Algorithms Live Demo
Budget: ₹12,500 – ₹37,500 INR
Project: Live In-Person Technical Demonstration for a High-Stakes Client
Location: Remote development + On-site delivery in Delhi
Demo Date: On or after 15 February 2025
Duration: 1–1.5 weeks remote preparation + 1–2 days on-site
Compensation: Competitive project-based fee + all travel and accommodation covered
Project Overview
We are preparing a live, in-person technical demonstration of a high-performance quantum simulator for a prestigious client. The demo will showcase 7 quantum algorithms at 40-qubit scale in front of a technical evaluation committee.
We are seeking a Quantum HPC Engineer to take full technical ownership of the demo — from development to live delivery.
Scope of Work
Live Technical Demonstration (Immediate)
Develop, test, and present live the following 8 quantum algorithms at 40-qubit scale:
Quantum Fourier Transform (QFT)
Quantum Approximate Optimization Algorithm (QAOA)
Shor’s Algorithm (full statevector simulation, simplified for live execution)
Grover’s Algorithm (full statevector simulation)
Variational Quantum Eigensolver (VQE)
Quantum Noise Simulation (multiple noise models)
Quantum Machine Learning (QCNN & HLL)
Execute algorithms live on a high-performance cloud GPU backend (NVIDIA A100 + cuQuantum or equivalent).
Ensure stable, uninterrupted performance during the live presentation.
Prepare backup strategies for connectivity, API delays, or simulation failures.
Deliverables (Phase 1):
Clean, documented code (Python/Jupyter notebooks).
Live demo slides with real-time visualizations and performance metrics.
Pre-run validation results and fallback materials.
Brief technical report explaining methodology and results.
Skills Required
Must Have:
Hands-on experience with Qiskit, PennyLane, or Cirq.
Proven ability to simulate 30+ qubit algorithms (GitHub/project links required).
Experience with cloud GPU-accelerated quantum simulation (NVIDIA cuQuantum, AWS Braket TN1, etc.).
Strong Python, Linux, and HPC/cloud environment skills.
Ability to explain complex concepts clearly in a live presentation.
Experience with noise simulation and quantum error modeling.
Nice to Have:
Background in HPC/cluster computing (MPI, SLURM, InfiniBand).
Prior experience with live technical demos or client presentations.
Knowledge of on-prem deployment in restricted environments.
Timeline & Logistics
1–1.5 weeks: Remote algorithm development, testing, and rehearsal.
1–2 days: On-site in Delhi for setup, live demo, and Q&A.
Travel & accommodation fully covered.
One mandatory remote rehearsal session before the demo.
What We Provide
Clear technical specifications and client requirements.
Budget for cloud GPU rental, software, and tools.
Full travel and accommodation coverage for Delhi.
Project management and logistical support.
Competitive project-based fee.
How to Apply
Please send:
A brief introduction and relevant experience.
Links to past quantum projects (GitHub, papers, demos, or recorded presentations).
Your approach to ensuring a stable, uninterrupted live demo on cloud GPU.
Confirmation of availability to travel to Delhi in mid-February.
Confidentiality
This project involves sensitive client requirements. Selected candidates will be asked to sign a short confidentiality agreement before receiving detailed specifications.
Location: Remote development + On-site delivery in Delhi
Demo Date: On or after 15 February 2025
Duration: 1–1.5 weeks remote preparation + 1–2 days on-site
Compensation: Competitive project-based fee + all travel and accommodation covered
Project Overview
We are preparing a live, in-person technical demonstration of a high-performance quantum simulator for a prestigious client. The demo will showcase 7 quantum algorithms at 40-qubit scale in front of a technical evaluation committee.
We are seeking a Quantum HPC Engineer to take full technical ownership of the demo — from development to live delivery.
Scope of Work
Live Technical Demonstration (Immediate)
Develop, test, and present live the following 8 quantum algorithms at 40-qubit scale:
Quantum Fourier Transform (QFT)
Quantum Approximate Optimization Algorithm (QAOA)
Shor’s Algorithm (full statevector simulation, simplified for live execution)
Grover’s Algorithm (full statevector simulation)
Variational Quantum Eigensolver (VQE)
Quantum Noise Simulation (multiple noise models)
Quantum Machine Learning (QCNN & HLL)
Execute algorithms live on a high-performance cloud GPU backend (NVIDIA A100 + cuQuantum or equivalent).
Ensure stable, uninterrupted performance during the live presentation.
Prepare backup strategies for connectivity, API delays, or simulation failures.
Deliverables (Phase 1):
Clean, documented code (Python/Jupyter notebooks).
Live demo slides with real-time visualizations and performance metrics.
Pre-run validation results and fallback materials.
Brief technical report explaining methodology and results.
Skills Required
Must Have:
Hands-on experience with Qiskit, PennyLane, or Cirq.
Proven ability to simulate 30+ qubit algorithms (GitHub/project links required).
Experience with cloud GPU-accelerated quantum simulation (NVIDIA cuQuantum, AWS Braket TN1, etc.).
Strong Python, Linux, and HPC/cloud environment skills.
Ability to explain complex concepts clearly in a live presentation.
Experience with noise simulation and quantum error modeling.
Nice to Have:
Background in HPC/cluster computing (MPI, SLURM, InfiniBand).
Prior experience with live technical demos or client presentations.
Knowledge of on-prem deployment in restricted environments.
Timeline & Logistics
1–1.5 weeks: Remote algorithm development, testing, and rehearsal.
1–2 days: On-site in Delhi for setup, live demo, and Q&A.
Travel & accommodation fully covered.
One mandatory remote rehearsal session before the demo.
What We Provide
Clear technical specifications and client requirements.
Budget for cloud GPU rental, software, and tools.
Full travel and accommodation coverage for Delhi.
Project management and logistical support.
Competitive project-based fee.
How to Apply
Please send:
A brief introduction and relevant experience.
Links to past quantum projects (GitHub, papers, demos, or recorded presentations).
Your approach to ensuring a stable, uninterrupted live demo on cloud GPU.
Confirmation of availability to travel to Delhi in mid-February.
Confidentiality
This project involves sensitive client requirements. Selected candidates will be asked to sign a short confidentiality agreement before receiving detailed specifications.
Related categories:
C Programming
Python
Linux
Engineering
Matlab and Mathematica
Cloud Computing
Algorithm
Quantum Computing