Nano-Structures & Nano-Objects, Год журнала: 2025, Номер 42, С. 101488 - 101488
Опубликована: Май 1, 2025
Язык: Английский
Nano-Structures & Nano-Objects, Год журнала: 2025, Номер 42, С. 101488 - 101488
Опубликована: Май 1, 2025
Язык: Английский
Electronic Structure, Год журнала: 2024, Номер 6(1), С. 013001 - 013001
Опубликована: Март 1, 2024
Abstract Quantum subspace methods (QSMs) are a class of quantum computing algorithms where the time-independent Schrödinger equation for system is projected onto underlying Hilbert space. This projection transforms into an eigenvalue problem determined by measurements carried out on device. The then solved classical computer, yielding approximations to ground- and excited-state energies wavefunctions. QSMs examples hybrid quantum–classical methods, device supported computational resources employed tackle problem. rapidly gaining traction as strategy simulate electronic wavefunctions computers, thus their design, development, application key research field at interface between computation structure (ES). In this review, we provide self-contained introduction QSMs, with emphasis ES molecules. We present theoretical foundations applications discuss implementation hardware, illustrating impact noise performance.
Язык: Английский
Процитировано
15Journal of Chemical Theory and Computation, Год журнала: 2024, Номер 20(9), С. 3613 - 3625
Опубликована: Май 3, 2024
Determining the properties of molecules and materials is one premier applications quantum computing. A major question in field how to use imperfect near-term computers solve problems practical value. Inspired by recently developed variants counterpart equation-of-motion (qEOM) approach orbital-optimized variational eigensolver (oo-VQE), we present a algorithm (oo-VQE-qEOM) for calculation molecular computing expectation values on computer. We perform noise-free simulations BeH2 series STO-3G/6-31G/6-31G* basis sets H4 H2O 6-31G using an active space four electrons spatial orbitals (8 qubits) evaluate excitation energies, electronic absorption, and, twisted H4, circular dichroism spectra. demonstrate that proposed can reproduce results conventional classical CASSCF calculations these systems.
Язык: Английский
Процитировано
10Physical Review Research, Год журнала: 2024, Номер 6(2)
Опубликована: Июнь 20, 2024
The ability of quantum computers to overcome the exponential memory scaling many-body problems is expected transform chemistry. Quantum algorithms require accurate representations electronic states on a device, but current approximations struggle combine chemical accuracy and gate efficiency while preserving physical symmetries, rely measurement-intensive adaptive methods that tailor wave function each molecule. In this contribution, we present symmetry-preserving gate-efficient provides chemically molecular energies with well-defined circuit structure. Our approach exploits local qubit connectivity, orbital optimization, connections generalized valence bond theory maximize obtained shallow circuits. Numerical simulations for molecules weak strong electron correlation, including benzene, water, singlet-triplet gap in tetramethyleneethane, demonstrate are achieved as much 84% fewer two-qubit gates compared state-of-the-art techniques. Published by American Physical Society 2024
Язык: Английский
Процитировано
10Journal of Chemical Theory and Computation, Год журнала: 2025, Номер unknown
Опубликована: Янв. 28, 2025
Hybrid quantum-classical computing algorithms offer significant potential for accelerating the calculation of electronic structure strongly correlated molecules. In this work, we present first quantum simulation conical intersections (CIs) in a biomolecule, cytosine, using superconducting computer. We apply contracted eigensolver (CQE)─with comparisons to conventional variational deflation (VQD)─to compute near-degenerate ground and excited states associated with intersection, key feature governing photostability DNA RNA. The CQE is based on an exact ansatz many-electron molecules absence noise─a critically important property resolving at CIs. Both methods demonstrate promising accuracy when compared diagonalization, even noisy intermediate-scale computers, highlighting their advancing understanding photochemical photobiological processes. ability simulate these critical our knowledge biological processes like repair mutation, implications molecular biology medical research.
Язык: Английский
Процитировано
2Chemical Science, Год журнала: 2025, Номер 16(10), С. 4456 - 4468
Опубликована: Янв. 1, 2025
The promise of quantum computing to circumvent the exponential scaling chemistry has sparked a race develop algorithms for architecture. However, most works neglect quantum-inherent shot noise, let alone effect current noisy devices. Here, we present comprehensive study linear response (qLR) theory obtaining spectroscopic properties on simulated fault-tolerant computers and present-day near-term hardware. This work introduces novel metrics analyze predict origins noise in algorithm, proposes an Ansatz-based error mitigation technique, reveals significant impact Pauli saving reducing measurement costs subspace methods. Our hardware results using up cc-pVTZ basis set serve as proof principle absorption spectra general approach with accuracy classical multi-configurational Importantly, our exemplify that substantial improvements rates speed are necessary lift computational from concept actual field.
Язык: Английский
Процитировано
1Journal of Chemical Theory and Computation, Год журнала: 2024, Номер 20(9), С. 3551 - 3565
Опубликована: Апрель 25, 2024
Linear response (LR) theory is a powerful tool in classic quantum chemistry crucial to understanding photoinduced processes and biology. However, performing simulations for large systems the case of strong electron correlation remains challenging. Quantum computers are poised facilitate simulation such systems, recently, linear formulation (qLR) was introduced [Kumar et al., J. Chem. Theory Comput. 2023, 19, 9136–9150]. To apply qLR near-term beyond minimal basis set, we here introduce resource-efficient theory, using truncated active-space version multiconfigurational self-consistent field LR ansatz. Therein, investigate eight different formalisms that utilize novel operator transformations allow equations be performed on hardware. Simulating excited state potential energy curves absorption spectra various test cases, identify two promising candidates, dubbed "proj LRSD" "all-proj LRSD".
Язык: Английский
Процитировано
9Journal of Chemical Theory and Computation, Год журнала: 2024, Номер 20(6), С. 2491 - 2504
Опубликована: Март 16, 2024
The recent developments of quantum computing present novel potential pathways for chemistry as the scaling computational power computers could be harnessed to naturally encode and solve electronic structure problems. Theoretically exact algorithms have been proposed (e.g., phase estimation), but limited capabilities current noisy intermediate-scale devices motivated development less demanding hybrid algorithms. In this context, variational eigensolver (VQE) algorithm was successfully introduced an effective method compute ground-state energies small molecules. This study investigates folded spectrum (FS) extension VQE computation molecular excited states. It provides possibility directly states around a selected target energy using same or circuit calculation. Inspired by variance-based methods from Monte Carlo literature, FS minimizes variance, thus, in principle, requiring computationally expensive squared Hamiltonian applied. We alleviate potentially poor employing Pauli grouping procedure identify sets commuting strings that can evaluated simultaneously. allows significant reduction cost. applied FS-VQE molecules (H2, LiH), obtaining all with chemical accuracy on ideal simulators. Furthermore, we explore application error mitigation techniques, demonstrating improved simulators compared simulations without mitigation.
Язык: Английский
Процитировано
8Journal of Chemical Theory and Computation, Год журнала: 2023, Номер 19(24), С. 9136 - 9150
Опубликована: Дек. 6, 2023
Accurate modeling of the response molecular systems to an external electromagnetic field is challenging on classical computers, especially in regime strong electronic correlation. In this article, we develop a quantum linear (qLR) theory calculate properties near-term computers. Inspired by recently developed variants counterpart equation motion (qEOM) theory, qLR formalism employs "killer condition" satisfying excitation operator manifolds that offer number theoretical advantages along with reduced resource requirements. We also used qEOM framework work state-specific properties. Further, through noiseless simulations, show calculated using approach are more accurate than ones obtained from coupled-cluster-based models due improved quality ground-state wave function ADAPT-VQE algorithm.
Язык: Английский
Процитировано
17The Journal of Physical Chemistry A, Год журнала: 2023, Номер 127(31), С. 6552 - 6566
Опубликована: Июль 28, 2023
Near-term quantum devices promise to revolutionize chemistry, but simulations using the current noisy intermediate-scale (NISQ) are not practical due their high susceptibility errors. This motivated design of NISQ algorithms leveraging classical and resources. While several developments have shown promising results for ground-state simulations, extending excited states remains challenging. paper presents two cost-efficient excited-state inspired by Davidson algorithm. We implemented method into self-consistent equation-of-motion unitary coupled-cluster (q-sc-EOM-UCC) adapted hardware. The circuit strategies generating desired discussed, implemented, tested. demonstrate performance accuracy proposed (q-sc-EOM-UCC/Davidson its variational variant) H2, H4, LiH, H2O molecules. Similar scheme, q-sc-EOM-UCC/Davidson capable targeting a small number character.
Язык: Английский
Процитировано
15The Journal of Physical Chemistry Letters, Год журнала: 2023, Номер 14(35), С. 7876 - 7882
Опубликована: Авг. 28, 2023
Quantum computers have emerged as a promising platform to simulate strong electron correlation that is crucial catalysis and photochemistry. However, owing the choice of trial wave function employed in variational quantum eigensolver (VQE) algorithm, accurate simulation restricted certain classes correlated phenomena. Herein, we combine spin-flip (SF) formalism with unitary coupled cluster singles doubles (UCCSD) method via equation-of-motion (qEOM) approach allow for an efficient large family strongly problems. We show developed qEOM-SF-UCCSD/VQE outperforms its UCCSD/VQE counterpart cis-trans isomerization ethylene, automerization cyclobutadiene predicted barrier heights are good agreement experimentally determined values. The developments presented herein will further stimulate investigation this simulations other types correlated/entangled phenomena on computers.
Язык: Английский
Процитировано
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