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This research proposes specific quantum algorithms to simulate EUV absorption and photoelectron emission spectra, aiming to resolve line edge roughness in semiconductor fabrication. The study details the substantial resource requirements, noting that even a single monomer simulation would demand millions of non-Clifford gates and thousands of logical qubits on future fault-tolerant hardware. These findings establish high-fidelity quantum simulations as a potential method to parameterize macroscopic models for overcoming current bottlenecks in chip miniaturization.
Quantum Simulations for Extreme Ultraviolet Photolithography
arXiv:2602.20234v2 Announce Type: replace Abstract: A key challenge of extreme ultraviolet (EUV) lithography in semiconductor fabrication is the line edge roughness or "blur" produced by the electron cascades following absorption of a high-energy photon. Here we present quantum algorithms to compute EUV absorption and photoelectron emission spectra, which are key to predicting blur. The first is a time-domain algorithm resolving absorption at a given frequency; the second is a first-quantized plane-wave algorithm computing the photoemission spectrum via real-time dynamics that treats bound and continuum states on equal footing. For a model photoresist monomer IMePh, 92 eV absorption requires $200$ logical qubits and $10^{9}$ non-Clifford gates per circuit with $10^3$ shots, while the photoemission spectrum needs $\geq 10^{14}$ gates, $10^4$ shots, and several thousand logical qubits. These results establish high-fidelity quantum simulations as a key component to parameterize the multi-scale macroscopic models required to overcome the electron blur bottleneck in semiconductor miniaturization.
Abstract:A key challenge of extreme ultraviolet (EUV) lithography in semiconductor fabrication is the line edge roughness or "blur" produced by the electron cascades following absorption of a high-energy photon. Here we present quantum algorithms to compute EUV absorption and photoelectron emission spectra, which are key to predicting blur. The first is a time-domain algorithm resolving absorption at a given frequency; the second is a first-quantized plane-wave algorithm computing the photoemission spectrum via real-time dynamics that treats bound and continuum states on equal footing. For a model photoresist monomer IMePh, 92 eV absorption requires $200$ logical qubits and $10^{9}$ non-Clifford gates per circuit with $10^3$ shots, while the photoemission spectrum needs $\geq 10^{14}$ gates, $10^4$ shots, and several thousand logical qubits. These results establish high-fidelity quantum simulations as a key component to parameterize the multi-scale macroscopic models required to overcome the electron blur bottleneck in semiconductor miniaturization.
arXiv:2602.20234 [quant-ph]
(or arXiv:2602.20234v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2602.20234 Focus to learn more arXiv-issued DOI via DataCite
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