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Error Mitigation Nisq Performance
Studying energy-resolved transport with wavepacket dynamics on quantum computers
arXiv
Authors: Melody Lee, Roland C. Farrell
Year
2026
Paper ID
3456
Status
Preprint
Abstract Read
~2 min
Abstract Words
206
Citations
N/A
Abstract
Probing energy-dependent transport in quantum simulators requires preparing states with tunable energy and small energy variance. Existing approaches often study quench dynamics of simple initial states, such as computational basis states, which are far from energy eigenstates and therefore limit the achievable energy resolution. In this work, we propose using wavepackets to probe transport properties with improved energy resolution. To demonstrate the utility of this approach, we prepare and evolve wavepackets on Quantinuum's H2-2 quantum computer and identify an energy-dependent localization transition in the Anderson model on an 8x7 lattice--a finite-size mobility edge. We observe that a wavepacket initialized at low energy remains spatially localized under time evolution, while a high-energy wavepacket delocalizes, consistent with the presence of a mobility edge. Crucial to our experiments is an error mitigation strategy that infers the noiseless output bit string distribution using maximum-likelihood estimation. Compared to post-selection, this method removes systematic errors and reduces statistical uncertainty by up to a factor of 5. We extend our methods to the many-particle regime by developing a quantum algorithm for preparing quasiparticle wavepackets in a one-dimensional model of interacting fermions. This technique has modest quantum resource requirements, making wavepacket-based studies of transport in many-body systems a promising application for near-term quantum computers.
Why This Paper Matters
- This paper contributes to the Error Mitigation & NISQ Performance research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Probing energy-dependent transport in quantum simulators requires preparing states with tunable energy and small energy variance.
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