Understanding and mitigating noise in molecular quantum linear response for spectroscopic properties on quantum computers
The promise of quantum computing to circumvent the exponential scaling of quantum chemistry has sparked a race to develop chemistry algorithms for quantum architecture. However, most works neglect the quantum-inherent shot noise, let alone the effect of current noisy devices. Here, we present a comp...
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Main Authors | , , , , |
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Format | Journal Article |
Language | English |
Published |
17.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The promise of quantum computing to circumvent the exponential scaling of
quantum chemistry has sparked a race to develop chemistry algorithms for
quantum architecture. However, most works neglect the quantum-inherent shot
noise, let alone the effect of current noisy devices. Here, we present a
comprehensive study of quantum linear response (qLR) theory obtaining
spectroscopic properties on simulated fault-tolerant quantum computers and
present-day near-term quantum hardware. This work introduces novel metrics to
analyze and predict the origins of noise in the quantum algorithm, proposes an
Ansatz-based error mitigation technique, and highlights the significant impact
of Pauli saving in reducing measurement costs and noise. Our hardware results
using up to cc-pVTZ basis set serve as proof-of-principle for obtaining
absorption spectra on quantum hardware in a general approach with the accuracy
of classical multi-configurational methods. Importantly, our results exemplify
that substantial improvements in hardware error rates and measurement speed are
necessary to lift quantum computational chemistry from proof-of-concept to an
actual impact in the field. |
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DOI: | 10.48550/arxiv.2408.09308 |