Quantum Research Scientist, High Performance Simulations

Minimum qualifications:

• PhD in Quantum Physics, Quantum Computing, Computational Physics, Computational Quantum Chemistry, or equivalent practical experience.
  
• Experience in practical research applying Tensor network algorithms such as Matrix Product State (MPS), Entanglement Renormalization Ansatz (MERA), or Projected Entangled Pair States (PEPS).
• Experience with programming in Python.
  
• One or more scientific publication submission(s) on applying Tensor network algorithms e.g., MPS, MERA, or PEPS.

Preferred qualifications:

• Experience with high-performance computing such as multi-CPU, GPU, or multi-GPU, simulations of quantum many-body systems, or of quantum computations, including both code development and execution of simulations.
• Experience in quantum computing theory, quantum information theory, and condensed matter theory.
• Experience in developing novel Tensor network algorithms.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Code and execute a tensor-network based simulation algorithm for quantum many-body physics and quantum circuits.
• Invent, or adapt novel simulation algorithms for quantum many-body physics and quantum circuits.
  
• Aid in the development and implementation of High-Performance Computing (HPC) simulations in specialized hardware including multi-GPUs. 
  
• Collaborate in simulations of superconducting qubit systems.
• Perform quantum algorithms related research in collaboration with other team members. 
  

Code and execute a tensor-network based simulation algorithm for quantum many-body physics and quantum circuits.Code and execute a tensor-network based simulation algorithm for quantum many-body physics and quantum circuits.