The Quantum Monte Carlo Sign Problem: Structure, Complexity, and New Directions - IPAM

The Quantum Monte Carlo Sign Problem: Structure, Complexity, and New Directions

January 25 - 29, 2027

Overview

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 primary practical framework for large-scale quantum simulation—it renders wide classes of physically relevant models computationally intractable. Despite significant conceptual advances and model-specific breakthroughs, no general resolution is known, and the boundary between tractable and intractable regimes remains poorly understood.

This workshop will bring together researchers from physics, applied mathematics, quantum information, and theoretical computer science to critically examine the current landscape of sign-problem mitigation. The goal is not merely to survey existing approaches, but to clarify structural principles underlying sign-free formulations, identify new algorithmic and complexity-theoretic perspectives, and foster cross-disciplinary collaborations. Through lectures, tutorials, focused discussions, and problem-driven sessions, the workshop aims both to accelerate conceptual progress and to train early-career researchers entering this rapidly evolving field.

This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.

Flyer

 

 

Organizing Committee

Bryan Clark (University of Illinois at Urbana-Champaign)
Itay Hen (University of Southern California (USC))
Emilie Huffman (Wake Forest University)
Jianfeng Lu (Duke University Medical Center)
Nikolay Prokof'ev (University of Massachusetts Amherst)