Name: Roel Van Beeumen
Pronouns: he/him/his
Biography:
I am a Research Scientist in the Applied Mathematics and Computational Research Division of Lawrence Berkeley National Laboratory (LBNL) and received my PhD in Engineering Science: Computer Science (2015) at KU Leuven from which I also hold Master degrees in Mathematical Engineering (2010) and in Archaeology (2011). My three main research fields are Applied Mathematics, Quantum Computing, and Scientific Software Development. My research interests range from numerical linear algebra and numerical software to large-scale and high dimensional eigenvalue applications in data science, quantum chemistry, and nuclear physics. I am also interested in challenging large-scale linear algebra problems in machine learning and quantum computing.
Institution/Lab: Lawrence Berkeley National Laboratory
Website: http://www.roelvanbeeumen.be/
SRP Collaboration Topic/Title: Simulation of quantum algorithms / Randomized solvers for tensor eigenvalue problems
Field or research area: Quantum Computing / Numerical Linear Algebra
Please select all the topical areas that apply to your project:
High-Performance Computing; Quantum Computing and Information Science
Brief Abstract:
Project 1: Current and near-term quantum computers, also known as noisy intermediate-scale quantum (NISQ) computers, are characterized by low qubit counts, short qubit decoherence times, and high gate error rates. On the other hand, rapid progress in both quantum hardware and software results in continuous simulation needs of novel/modified quantum algorithms. The QCLAB++ simulation software package, developed at LBNL, is an object-oriented and fully templated C++ package for creating and representing quantum circuits. QCLAB++ can be used for rapid prototyping and testing of quantum algorithms, and allows for fast algorithm development and discovery. Project ideas could include improving (CPU/GPU) performance, adding different noise models, and expanding the quantum algorithms’ base. Project 2: Eigenvalue computations are at the core of simulations in many applications, including quantum physics, material science, and electronic structure computations. On the other hand, randomized algorithms are currently gaining more attention because of their potential for both reducing computational complexity and data movement on the emerging heterogeneous computing systems. Project ideas could include comparing and testing different randomization schemes, incorporating mixed-precision, improving (CPU/GPU) performance, etc.
Desired relevant skills, background, or interests:
Project 1: Specific background depends on the specific project focus, but generally: software development (C++, Matlab, python), quantum computing, applied mathematics, etc. Project 2: Specific background depends on the specific project focus, but generally: applied mathematics, numerical algorithm design, software development (C++, Matlab), etc.
Other comments:
Do any special requirements apply? In-Person Only
Other, specify:
Keywords:
quantum computing; numerical linear algebra; randomized algorithms; applied mathematics; C++; Matlab
Lightning Talk Title: Applied Mathematics meets Quantum Computing