HPE Labs - Large-Scale Integrated Photonics Lab Research Associate (Intern)

HPE Labs - Large-Scale Integrated Photonics Lab Research Associate (Intern)

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

The Emergent Machine Intelligence and Quantum Teams at Hewlett-Packard Labs are currently seeking highly qualified, self-motivated interns to accelerate research towards new applications, core methodologies and technologies. The main research topic is at the interface of quantum computing, many-body physics, and high-performance computing with the long-term goal of designing and implementing novel quantum algorithms and accelerators for efficient quantum/classical simulation and tight HPC-QC integration for quantum computers of the future.

Hewlett Packard Labs is an international research organization with its headquarters and largest facility located in Milpitas, California. As the central research organization for Hewlett Packard Enterprise (HPE), Hewlett Packard Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets.

Our research positions offer competitive salaries and benefits for qualified candidates. The ideal candidate can thrive in an applied research environment, balancing significant technical and scientific contributions with the ability to bring such contributions to practice through innovative solutions that address the needs of our customers and partners. We expect the successful candidate to collaborate with Hewlett Packard Labs research teams and to work in alignment with HPE's broader innovation community.

We are looking for candidates who are working towards a PhD degree in Physics, Quantum Chemistry, Computer Science, Electrical Engineering, Mathematics, or a related field. The ideal candidate will have theoretical/computational research experience in the areas of quantum computing, tensor networks, or quantum compiling. Applicants should be comfortable working in a strongly collaborative and multidisciplinary research environment.

Required skills and experiences:

· Pursuing PhD in quantum many-body physics, quantum chemistry, quantum computing or related fields

· Proficiency in Python and C/C++

· Familiarity with quantum computing packages e.g. Cirq, Qiskit and/or quantum simulation

· Familiarity with quantum algorithms

· Excellent written and verbal communication skills

· Ability to collaborate effectively across diverse teams

Desired skills and experiences:

· Working experience with HPC programming environments

· Knowledge of tensor network methods (ITensor, Quimb, etc.)

· Background in statistical physics/condensed matter physics

· Experience in quantum compiler development, including extending resource estimation tools such as Qualtran and pyLIQTR, especially supporting distributed architectures

· Experience writing technical publications

· Familiarity with quantum error correction techniques (surface codes, qLDPC codes, etc.)

· Familiarity with open quantum system simulations (quantum trajectories)

· Experience with circuit knitting techniques

Project description:

For quantum computing to reach utility-scale, tight integration of quantum processing units (QPUs) within HPC infrastructures will be necessary. An outstanding problem in this area is how to efficiently partition and distribute quantum workloads among multiple QPUs, as the number of qubits for interesting applications far exceeds what will fit on a single (even futuristic) QPU. Our team is developing three distinct thrusts:

1. Tensor network simulation of quantum many-body systems.

2. Tight HPC-QC integration by building state-of-the-art low-latency compilers

3. Distributed quantum error correction

As a research intern, you will aid in the development, imp