Assigning the lines of high-resolution molecular spectra to quantum states requires a Hamiltonian model and substantial expert intervention, so the spectra of larger molecules accumulate vast numbers of unassigned lines. Here we show that molecular energy levels can instead be reconstructed directly from the raw, unassigned transition frequencies, using graph theory alone with no model and no prior assignment. Our inverse graph construction exploits recurring frequency differences and four-cycle closures to assemble an energy-level network at kilohertz precision. The dense, broadband spectra this requires are produced by a cavity-enhanced spectrometer (SCALS) that scans continuously across tens of terahertz at kilohertz accuracy, combining broadband coverage, high sensitivity, and high precision in a single automated instrument. Applied to the water absorption spectrum in the range of 1537--1605~nm, 686 Lamb dips of water were obtained without assignments, and the method reconstructs 158 energy levels that are mostly two orders of magnitude more precise than the corresponding literature values. By removing the assignment barrier, this approach opens a route to exploratory precision spectroscopy of polyatomic molecules without a priori knowledge of transition frequencies.
The frequency-dependent absorption and emission of light determine the colors of matter and underpin today's technologies, from solar cells to light-emitting diodes. Predicting optical properties from first principles remains a computational challenge, especially for large and disordered systems. The $GW$ plus Bethe-Sa...
M. Graml, Rita Tyagi, R. Pasquier et al.· 0 citations
Rapid advances in X-ray free-electron laser facilities are producing X-ray absorption spectra (XAS) with unprecedented detail, creating a pressing need for theoretical methods that are both accurate and computationally efficient to interpret subtle spectral features. In this study, we benchmark two cost-effective elect...
Marc Alías-Rodríguez, F. Montorsi, Woo-Sik Park et al.· Journal of Chemical Theory a...· 0 citations
Accurate modelling of chemical reaction rates requires precise correlated energy differences. Quantum computing offers a potential route to their determination, but extracting energies from quantum-prepared states can demand prohibitive sampling. We demonstrate measurement-efficient correlated energy estimation using a...
Connor Lenihan, K. Panchagnula, Luca Erhart et al.· 0 citations
Predicting anharmonic vibrational spectra is a complex computational task, which becomes quickly infeasible as molecular size and the number of vibrational basis functions increase, leading to an exponential growth of the underlying Hilbert space. Here, we employ a sample-based quantum diagonalization (SQD) framework t...
Sarah Mostame, Tanvi P. Gujarati, Alberto Baiardi et al.· 1 citation
Two-photon absorption (2PA) strengths span several orders of magnitude, yet time-dependent density functional theory (TDDFT) benchmark studies have commonly relied on raw-scale mean absolute errors and linear regression statistics. Such statistics can be dominated by the most intense transitions and do not distinguis...
Dávid Mester, Mihály Kállay· Journal of Chemical Theory a...· 0 citations
The advent of X-ray free-electron lasers and high-harmonic generation has made time-resolved X-ray spectroscopy a powerful tool for probing local atomic environments, yet whether localized core excitations can report on global collective distortions remains open. Cyclo[18]carbon (C$_{18}$), with its polyynic ground sta...
Min-Rui Wei, Ze-Yu Liu, Sheng-Yu Wang et al.· 0 citations
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