Quantum Computers Offer Faster Routes to Understanding Dense Matter

Zohreh Davoudi, University of Maryland, and colleagues, in collaboration with 2-8 November 2025 Tata Institute of Fundamental Research, investigate quantum simulation as a potential solution to longstanding challenges in computational particle and nuclear physics. Quantum-computing algorithms and hardware technology overcome the exponential scaling limitations currently hindering progress in areas like dense matter and general dynamical phenomena. The work builds upon the foundations of lattice field theory, offering polynomially efficient algorithms that address problems previously intractable for classical computation and advance our understanding of hadronic…