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arxiv: 2410.18910 · v1 · submitted 2024-10-24 · 🪐 quant-ph · physics.chem-ph· physics.comp-ph

Characterizing conical intersections of nucleobases on quantum computers

Yuchen Wang , Cameron Cianci , Irma Avdic , Rishab Dutta , Samuel Warren , Brandon Allen , Nam P. Vu , Lea F. Santos
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Victor S. Batista David A. Mazziotti
This is my paper

Pith reviewed 2026-05-23 19:19 UTC · model grok-4.3

classification 🪐 quant-ph physics.chem-phphysics.comp-ph
keywords quantum simulationconical intersectionscytosinenucleobasessuperconducting quantum computerelectronic structurephotostability
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The pith

Superconducting quantum computers can resolve conical intersections in cytosine.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows that a quantum algorithm can locate the near-degenerate electronic states where two surfaces touch in cytosine, a nucleobase. These conical intersections control how the molecule absorbs and dissipates ultraviolet light, which affects the photostability of DNA and RNA. The authors run the Contracted Quantum Eigensolver on actual superconducting hardware and obtain energies and state characters that match exact classical diagonalization within acceptable error. The result matters because classical methods become expensive precisely when states are nearly degenerate, the regime that governs photochemical outcomes in biology.

Core claim

The authors report the first quantum simulation of conical intersections in cytosine, using the Contracted Quantum Eigensolver on a superconducting processor to compute the ground and first excited states at the intersection geometry. Both the Contracted Quantum Eigensolver and Variational Quantum Deflation produce results close to exact diagonalization despite device noise.

What carries the argument

The Contracted Quantum Eigensolver, an ansatz that is exact for many-electron systems in the absence of noise, applied to extract the two lowest states whose surfaces touch at the conical intersection.

If this is right

  • The method supplies state characters and energy gaps at conical intersections that enter models of DNA damage and repair.
  • The same workflow can be repeated for other nucleobases or for geometries away from the intersection.
  • Hybrid quantum-classical runs become feasible for molecules whose active spaces exceed the reach of full classical diagonalization.
  • Noise resilience of the ansatz suggests it can be used for other near-degenerate electronic-structure problems.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Extending the calculation to include nuclear motion would test whether the same hardware can capture non-adiabatic dynamics.
  • If the approach scales to larger active spaces, it could address conical intersections in systems where classical multireference methods already struggle.
  • The reported accuracy sets a benchmark for testing future error-mitigation techniques on similar photochemical problems.

Load-bearing premise

The quantum algorithm still separates the nearly degenerate states with enough accuracy on noisy hardware to be chemically useful.

What would settle it

A direct comparison in which the quantum-computed energy gap or state overlap at the cytosine intersection geometry differs from exact diagonalization by more than the reported error bars.

Figures

Figures reproduced from arXiv: 2410.18910 by Brandon Allen, Cameron Cianci, David A. Mazziotti, Irma Avdic, Lea F. Santos, Nam P. Vu, Rishab Dutta, Samuel Warren, Victor S. Batista, Yuchen Wang.

Figure 1
Figure 1. Figure 1: FIG. 1: An illustration of the CQE algorithm at the [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Reported minimum energy CI for cytosine. (a) [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: The convergence plot for (a) VQD and (b) [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: The 3D CI topography shown with (a) exact [PITH_FULL_IMAGE:figures/full_fig_p006_5.png] view at source ↗
read the original abstract

Hybrid quantum-classical computing algorithms offer significant potential for accelerating the calculation of the electronic structure of strongly correlated molecules. In this work, we present the first quantum simulation of conical intersections (CIs) in a biomolecule, cytosine, using a superconducting quantum computer. We apply the Contracted Quantum Eigensolver (CQE) -- with comparisons to conventional Variational Quantum Deflation (VQD) -- to compute the near-degenerate ground and excited states associated with the conical intersection, a key feature governing the photostability of DNA and RNA. The CQE is based on an exact ansatz for many-electron molecules in the absence of noise -- a critically important property for resolving strongly correlated states at CIs. Both methods demonstrate promising accuracy when compared with exact diagonalization, even on noisy intermediate-scale quantum computers, highlighting their potential for advancing the understanding of photochemical and photobiological processes. The ability to simulate these intersections is critical for advancing our knowledge of biological processes like DNA repair and mutation, with potential implications for molecular biology and medical research.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript claims to present the first quantum simulation of conical intersections in cytosine (a nucleobase) on a superconducting quantum computer. It applies the Contracted Quantum Eigensolver (CQE) — with comparisons to Variational Quantum Deflation (VQD) — to the near-degenerate ground and excited states at the CI geometry, asserting that both methods achieve promising accuracy versus exact diagonalization even on NISQ hardware, thereby demonstrating potential for photochemical and photobiological applications.

Significance. If the quantitative results hold, the work would constitute a notable early demonstration of quantum hardware applied to a biomolecular CI, a feature central to DNA/RNA photostability. The emphasis on an exact (noiseless) ansatz for strongly correlated states is a methodological strength that could help address degeneracy issues, provided noise effects are rigorously bounded.

major comments (2)
  1. [Abstract] Abstract: the assertion of 'promising accuracy' versus exact diagonalization is presented without any numerical metrics, error bars, energy-gap values, or hardware-error comparisons; this is load-bearing for the central claim that CQE resolves the near-degenerate CI states on noisy superconducting hardware.
  2. [Methods/Results] Methods/Results (CQE implementation): because the CQE ansatz is exact only in the noiseless limit, the manuscript must supply a concrete demonstration (e.g., computed gap size at the cytosine CI geometry versus measured hardware error rates or state-vector fidelity) showing that noise does not collapse or mix the degenerate pair beyond utility; absent this bound, the noise-resilience claim remains unverified.
minor comments (2)
  1. All result figures should include direct overlays or tables comparing CQE, VQD, and exact-diagonalization energies with error bars; axis labels and units must be unambiguous.
  2. Clarify the active-space size, qubit mapping, and number of shots used in the superconducting-device experiments so that reproducibility is immediate.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their thoughtful review and for highlighting areas where the manuscript can be strengthened. We address each major comment below and will incorporate revisions to improve the clarity and rigor of our claims regarding the quantum simulation of conical intersections in cytosine.

read point-by-point responses

  1. Referee: [Abstract] Abstract: the assertion of 'promising accuracy' versus exact diagonalization is presented without any numerical metrics, error bars, energy-gap values, or hardware-error comparisons; this is load-bearing for the central claim that CQE resolves the near-degenerate CI states on noisy superconducting hardware.

    Authors: We agree that the abstract would benefit from explicit quantitative support for the 'promising accuracy' claim. The revised manuscript will update the abstract to include the specific energy gap values computed via CQE and VQD on hardware, along with their deviations from exact diagonalization and brief comparisons to hardware noise characteristics. revision: yes

  2. Referee: [Methods/Results] Methods/Results (CQE implementation): because the CQE ansatz is exact only in the noiseless limit, the manuscript must supply a concrete demonstration (e.g., computed gap size at the cytosine CI geometry versus measured hardware error rates or state-vector fidelity) showing that noise does not collapse or mix the degenerate pair beyond utility; absent this bound, the noise-resilience claim remains unverified.

    Authors: We acknowledge that an explicit bound relating the CI energy gap to hardware error rates would strengthen the noise-resilience discussion. The manuscript already reports direct energy comparisons to exact diagonalization obtained on the superconducting device, which demonstrate resolvability of the states. In revision we will add a targeted analysis (in the main text or supplementary information) that quantifies the gap size against observed hardware error rates and state fidelities to make this bound explicit. revision: yes

Circularity Check

0 steps flagged

No circularity: standard application of CQE/VQD to cytosine CI with external benchmarks

full rationale

The paper applies the established Contracted Quantum Eigensolver (CQE) and Variational Quantum Deflation (VQD) to compute near-degenerate states at the cytosine conical intersection on superconducting hardware, reporting comparisons to exact diagonalization. The CQE is described as based on an exact ansatz in the noiseless limit, but this is a stated property of the method rather than a derivation within the paper. No load-bearing steps reduce by construction to the paper's own inputs or fitted parameters; no self-citations form a chain that justifies the central simulation result; and the work is benchmarked against independent exact diagonalization. This is a normal application paper with self-contained content against external references.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The work relies on standard quantum algorithms and quantum chemistry frameworks with no new free parameters, axioms, or invented entities introduced in the abstract description.

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