Workshop
The Quantum Monte Carlo Sign Problem: Structure, Complexity, and New Directions
Bryan Clark, Emilie Huffman, Itay Hen and 2 more
About
The Monte Carlo sign problem remains a central obstruction to scalable simulation of interacting quantum many-body systems. By undermining reliable importance sampling in quantum Monte Carlo, the main practical framework for large-scale quantum simulation, it renders wide classes of physically relevant models computationally intractable; despite conceptual advances and model-specific breakthroughs, no general resolution is known and the boundary between tractable and intractable regimes is poorly understood. This IPAM workshop brings together researchers from physics, applied mathematics, quantum information and theoretical computer science to examine sign-problem mitigation critically: to clarify the structural principles behind sign-free formulations, identify new algorithmic and complexity-theoretic perspectives, and train early-career researchers entering the field through lectures, tutorials, focused discussions and problem-driven sessions. The programme includes a poster session; registration includes a remote-participation option.
Topics
Organisers
- Bryan Clark, University of Illinois at Urbana-Champaign
- Emilie Huffman, Wake Forest University
- Itay Hen, University of Southern California (USC)
- Jianfeng Lu, Duke University Medical Center
- Nikolay Prokof'ev, University of Massachusetts Amherst
Details
Location
34.07026, -118.44187UCLA IPAM, 460 Portola Plaza, Los Angeles, CA 90095, USA
Organisations
Institute for Pure and Applied Mathematics (IPAM)
Host