Correction scheme for total energy obtained on fault-tolerant quantum computer via quantum dominant orbital selection and subspace dynamical correlation methods
- URL: http://arxiv.org/abs/2603.02715v1
- Date: Tue, 03 Mar 2026 08:10:31 GMT
- Title: Correction scheme for total energy obtained on fault-tolerant quantum computer via quantum dominant orbital selection and subspace dynamical correlation methods
- Authors: Nobuki Inoue, Hisao Nakamura,
- Abstract summary: We propose a practical method for accurately evaluating molecular energies using a hybrid approach that integrates fault-tolerant quantum computers with classical computing.<n>Our scheme does not suffer from massive task to read out quantum data readout and demonstrates the potential to efficiently compute large, complex molecular systems.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We propose a practical method for accurately evaluating molecular energies using a hybrid approach that integrates fault-tolerant quantum computers with classical computing. Our scheme comprises two complementary methods: quantum dominant orbital selection (QDOS) and subspace dynamical correlation (SDC). The QDOS method extracts only the relevant active orbitals from the complete active space (CAS) configuration interaction (CI) state on a quantum computer, thereby defining a more compact active space suitable for subsequent classical CASCI calculations. The SDC method evaluate correction of dynamical correlation of the CASCI obtained by quantum computing by using the compact CASCI state, which can be handled by classical computing. To demonstrate that the CAS energy resulting from the quantum computation is post-corrected by the SDC method, we examine the two frameworks, multi-reference perturbation theory and tailored coupled-cluster theory, for the SDC method. Our scheme does not suffer from massive task to read out quantum data readout and demonstrates the potential to efficiently compute large, complex molecular systems by leveraging quantum-classical hybrid computation with reasonable computational resources.
Related papers
- Quantum Computing for Electronic Circular Dichroism Spectrum Prediction of Chiral Molecules [0.0]
We introduce a variational quantum framework combined with the quantum equation of motion formalism to compute molecular properties and predict ECD spectra.<n>We demonstrate its efficient applicability on 12 clinically relevant chiral drug molecules accessing expanded active spaces.
arXiv Detail & Related papers (2026-02-03T16:33:00Z) - Towards quantum-centric simulations of extended molecules: sample-based quantum diagonalization enhanced with density matrix embedding theory [1.641227459215045]
We present the first density matrix embedding theory (DMET) simulations performed in combination with the sample-based quantum diagonalization (SQD) method.<n>We employ the DMET-SQD formalism to compute the ground-state energy of a ring of 18 hydrogen atoms, and the relative energies of the chair, half-chair, twist-boat, and boat conformers of cyclohexane.<n>Our DMET-SQD calculations mark a tangible progress in the size of active regions that can be accurately tackled by near-term quantum computers.
arXiv Detail & Related papers (2024-11-15T00:42:31Z) - Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [62.46800898243033]
Recent progress in quantum learning theory prompts a question: can linear properties of a large-qubit circuit be efficiently learned from measurement data generated by varying classical inputs?<n>We prove that the sample complexity scaling linearly in $d$ is required to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.<n>We propose a kernel-based method leveraging classical shadows and truncated trigonometric expansions, enabling a controllable trade-off between prediction accuracy and computational overhead.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - Parallel Quantum Computing Simulations via Quantum Accelerator Platform Virtualization [44.99833362998488]
We present a model for parallelizing simulation of quantum circuit executions.
The model can take advantage of its backend-agnostic features, enabling parallel quantum circuit execution over any target backend.
arXiv Detail & Related papers (2024-06-05T17:16:07Z) - Capturing many-body correlation effects with quantum and classical
computing [40.7853309684189]
We show the efficiency of Quantum Phase Estor (QPE) in identifying core-level states relevant to x-ray photoelectron spectroscopy.
We compare and validate the QPE predictions with exact diagonalization and real-time equation-of-motion coupled cluster formulations.
arXiv Detail & Related papers (2024-02-18T01:26:45Z) - Coupled cluster method tailored with quantum computing [0.0]
We propose a computational method for correcting quantum computing results using a classical theory called coupled cluster theory.
Our approach efficiently extracts the quantum state from a quantum device by computational basis tomography.
These demonstrations suggest that our approach has the potential for practical quantum chemical calculations using quantum computers.
arXiv Detail & Related papers (2023-12-18T08:28:09Z) - A self-consistent field approach for the variational quantum
eigensolver: orbital optimization goes adaptive [52.77024349608834]
We present a self consistent field approach (SCF) within the Adaptive Derivative-Assembled Problem-Assembled Ansatz Variational Eigensolver (ADAPTVQE)
This framework is used for efficient quantum simulations of chemical systems on nearterm quantum computers.
arXiv Detail & Related papers (2022-12-21T23:15:17Z) - Numerical Simulations of Noisy Quantum Circuits for Computational
Chemistry [51.827942608832025]
Near-term quantum computers can calculate the ground-state properties of small molecules.
We show how the structure of the computational ansatz as well as the errors induced by device noise affect the calculation.
arXiv Detail & Related papers (2021-12-31T16:33:10Z) - Reducing Unitary Coupled Cluster Circuit Depth by Classical Stochastic
Amplitude Pre-Screening [0.0]
Unitary Coupled Cluster (UCC) approaches are an appealing route to utilising quantum hardware to perform quantum chemistry calculations.
We present a combined classical-quantum approach where a classical UCC pre-processing step is used to determine the important excitations in the UCC ansatz.
arXiv Detail & Related papers (2021-08-24T18:34:14Z) - Quantum-Classical Hybrid Algorithm for the Simulation of All-Electron
Correlation [58.720142291102135]
We present a novel hybrid-classical algorithm that computes a molecule's all-electron energy and properties on the classical computer.
We demonstrate the ability of the quantum-classical hybrid algorithms to achieve chemically relevant results and accuracy on currently available quantum computers.
arXiv Detail & Related papers (2021-06-22T18:00:00Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.