Quantum Elements, USC Publish a New Quantum Monte Carlo (QMC) Method for Noisy Circuit Simulation - Quantum Computing Report

Quantum Elements and the University of Southern California (USC) have published a peer-reviewed paper in Physical Review Letters (PRL) detailing a new Quantum Monte Carlo (QMC) algorithm that significantly lowers the classical computing power needed to simulate noisy quantum circuits. Traditional open-system simulations rely on direct density-matrix tracking, which scales exponentially quickly crippling classical hardware. The new paper titled Real-Time Sign-Problem-Suppressed Quantum Monte Carlo Algorithm for Noisy Quantum Circuit Simulations co-authored by Dr. Tong Shen and USC Professor Daniel A. Lidar, describes how the new algorithm suppresses the notorious quantum “sign problem.” This new algorithm models noisy quantum-circuit behavior with a fraction [...]

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