分子動力学量子シミュレーションの新理論を提案(Moving Toward More Effective Quantum Simulations of Molecular Dynamics)

2026-06-30 パシフィック・ノースウェスト国立研究所(PNNL)

米国のPacific Northwest National Laboratory(PNNL)の研究チームは、分子動力学(MD)シミュレーションにおいて原子核の量子効果をより効率的かつ高精度に扱う新しい計算手法を開発した。従来の経路積分分子動力学(PIMD)は、水素原子のゼロ点振動やトンネル効果などを再現できる一方、計算コストが非常に大きく、大規模系への適用が課題となっていた。本研究では、量子効果が支配的な部分に計算資源を重点配分する新しいアルゴリズムを導入し、必要な精度を維持しながら計算効率を大幅に向上させた。これにより、水や電解質、生体分子、触媒材料など、量子効果が物性や反応性を左右する複雑な系について、従来より大規模かつ長時間のシミュレーションが可能となる。本成果は、量子シミュレーションと古典的分子動力学の長所を組み合わせ、材料設計や触媒開発、エネルギー変換、生体分子研究など幅広い分野で予測精度と計算効率を両立させる重要な基盤技術となる。PNNLが同時に公開した「MixPI」ソフトウェアと併せて、高精度分子シミュレーションの実用化をさらに前進させる成果である。

<関連情報>

リアルタイムアプローチによる分子コアスペクトルにおける多体効果の解明:効率的な古典近似と量子論的視点 Elucidating many-body effects in molecular core spectra through real-time approaches: Efficient classical approximations and a quantum perspective

Vibin Abraham;Priyabrata Senapati;Himadri Pathak;Bo Peng
The  Journal of Chemical Physics  Published:March 12 2026
DOI:https://doi.org/10.1063/5.0313721

分子動力学量子シミュレーションの新理論を提案(Moving Toward More Effective Quantum Simulations of Molecular Dynamics)

Accurately resolving many-body satellite features in molecular core-level spectra requires theoretical approaches that capture electron correlation both efficiently and systematically. The recently developed time-dependent double coupled-cluster (TD-dCC) Ansatz achieves this by combining correlation effects from the N– and (N − 1)-electron sectors, but its exact formulation remains computationally demanding. Here, we introduce a hierarchy of cost-effective approximate TD-dCC-truncated Baker–Campbell–Hausdorff (BCH) expansions, which preserve a single-similarity-transformation structure while retaining the essential correlation diagrams responsible for satellite formation. We further develop a detailed component analysis that isolates hole-mediated excitation pathways—correlated processes arising from the coupling between ground-state and ionized-state amplitudes—and use it to interpret quasiparticle and satellite features across the hierarchy. Applications to the single-impurity Anderson model and molecular systems (H2O and CH4) demonstrate that the approximate TD-dCC methods closely and efficiently reproduce exact many-body spectral features and quasiparticle weights. In parallel, we construct a fault-tolerant quantum signal processing algorithm for the core-hole Green’s function, providing a scalable quantum route for simulating correlated core-level dynamics. Together, these developments establish complementary classical and quantum methodologies for quantitative, many-body-accurate core spectroscopy.

 

開放型量子力学のための分数階微積分フレームワーク:リウヴィルからリンドブラッド、そして記憶カーネルへ A fractional calculus framework for open quantum dynamics: From Liouville to Lindblad to memory kernels

Bo Peng;Yu Zhang
The Journal of Chemical Physics  Published:February 23 2026
DOI:https://doi.org/10.1063/5.0312309

Open quantum systems exhibit dynamics ranging from unitary evolution to irreversible dissipation. While the Gorini–Kossakowski–Sudarshan–Lindblad equation uniquely characterizes Markovian completely positive and trace-preserving (CPTP) evolution, many physical platforms display non-Markovian features such as algebraic relaxation and coherence backflow. Fractional calculus provides a natural way to model such long-memory behavior through power-law temporal kernels introduced by fractional time derivatives. Here, we develop a unified framework that embeds fractional master equations within the broader hierarchy of open-system formalisms. The fractional equation forms a structured subclass of memory-kernel models, reduces to the Lindblad form at unit order, and, through Bochner–Phillips subordination, admits a CPTP representation as an average over Lindblad semigroups. Its resolvent structure further connects fractional dynamics to established non-Markovian approaches, including Nakajima–Zwanzig kernels and hierarchical equations of motion, providing a compact surrogate for long-memory effects. This formulation positions fractional calculus as a rigorous and practical language for modeling non-Markovian quantum dynamics in chemical physics and physical chemistry, providing a CPTP-preserving, computationally efficient surrogate for structured condensed-phase environments where long-time memory and dissipation play a central role.

1701物理及び化学
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