Quantum Error Mitigation Driven by Classical Simulations and Evolution Equations

Explore quantum error mitigation techniques through this 48-minute conference talk that addresses the critical challenge of noise in current quantum hardware. Learn about two innovative quantum error mitigation (QEM) approaches developed to overcome limitations in both analytical and classical numerical methods for complex physical systems. Discover the first technique that leverages data from classical simulations by learning quantum noise properties in regimes accessible to both noisy quantum and classical devices, then applying this knowledge to error mitigation in quantum-only accessible regimes. Examine the second approach that utilizes analytically computed evolution equations, taking advantage of the fact that observables in quantum system simulations follow coupled evolution equation systems to mitigate measurement errors on noisy quantum hardware. See both techniques demonstrated through the lattice Schwinger model with a topological θ term, providing concrete examples of their practical applications. Gain insights into cutting-edge research that bridges classical and quantum computational approaches to solve the sign problem in lattice Quantum Chromodynamics and similar challenging physical systems where traditional methods fail.