Daan Camps

Daan Camps

Researcher in Advanced Technologies Group

NERSC, Lawrence Berkeley National Laboratory

Biography

Daan Camps is a quantum computing and HPC architecture and performance engineer in the Advanced Technologies Group at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory. He is interested in exploring the interface between classical HPC systems and emerging quantum computing technology.

Prior to joining NERSC, Daan was a postdoctoral researcher in the Scalable Solvers Group at Lawrence Berkeley National Laboratory. He has completed projects on quantum compilation, quantum chemistry, and machine learning for nonlinear tensor factorizations. Daan developed and contributed to multiple open source software packages.

He holds a PhD in Computer Science from KU Leuven where he introduced pole swapping algorithms for eigenvalue problems.

Interests

  • Numerical Linear Algebra
  • Quantum Computing and Algorithms
  • High Performance Computing (HPC)
  • Machine Learning

Education

  • PhD in Computer Science, 2019

    KU Leuven

  • MSc in Mathematical Engineering, 2013

    KU Leuven

  • MSc in Astronomy, 2011

    KU Leuven

  • BSc in Physics, 2010

    UHasselt

Experience

 
 
 
 
 

Quantum computing and HPC architecture and perfomance engineer

NERSC, Lawrence Berkeley National Laboratory

Apr 2022 – Present Berkeley, California
 
 
 
 
 

Postdoctoral Scholar

Lawrence Berkeley National Laboratory

Nov 2019 – Apr 2022 Berkeley, California

Completed projects on:

  • Quantum algorithms, quantum compilation
  • Machine learning for nonlinear tensor factorizaions
 
 
 
 
 

PhD Researcher

KU Leuven, Department of Computer Science, NUMA

Sep 2015 – Sep 2019 Leuven, Belgium

Dissertation: Pole swapping methods for the eigenvalue problem — Rational QR algorithms

  • Researched rational Krylov methods for (generalized) eigenvalue problems

  • Supervised exercise sessions on numerical mathematics for BSc in Engineering students

 
 
 
 
 

Project engineer

IPCOS

Aug 2013 – Sep 2015 Leuven, Belgium
Data-driven modeling for the upstream industry

Recent Publications

The RQR algorithm

This article adapts pole swapping algorithms to the standard eigenvalue problem.

Long-lived oscillations of metastable states in neutral atom systems

We study the dynamics of long-lived oscillations of metastable states in neutral atom systems.

Software

FunFact

FunFact is a Python package to build your own tensor decomposition model in a breeze.

QPIXL++

QPIXL++ is a quantum image pixel library that supports the compilation, simulation and compression of quantum circuits for Flexible Representations of Quantum Images.

Recent & Upcoming Talks

Evaluation of the Classical Hardware Requirements for Large-Scale Quantum Computations

Presentation on a performance model for large-scale quantum computations at ISC High Performance 2024 in Hamburg.

Exploring the Lieb lattice phase diagram using Rydberg atom quantum simulators

Presentation on quantum phases in the Lieb lattice in neutral atom systems at APS March Meeting 2024.

Contact

  • 1 Cyclotron Road, Berkeley, CA 94720