Quantum Simulations of Chemistry in First Quantization with any Basis Set
- URL: http://arxiv.org/abs/2408.03145v3
- Date: Tue, 11 Mar 2025 22:06:09 GMT
- Title: Quantum Simulations of Chemistry in First Quantization with any Basis Set
- Authors: Timothy N. Georges, Marius Bothe, Christoph Sünderhauf, Bjorn K. Berntson, Róbert Izsák, Aleksei V. Ivanov,
- Abstract summary: We present a new method to solve the generic ground-state chemistry problem in first quantization using any basis set.<n>We achieve speedup in Toffoli count for molecular orbitals, and orders of magnitude improvement using dual plane waves.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Quantum computation of the energy of molecules and materials is one of the most promising applications of fault-tolerant quantum computers. Practical applications require development of quantum algorithms with reduced resource requirements. Previous work has mainly focused on quantum algorithms where the Hamiltonian is represented in second quantization with compact basis sets while existing methods in first quantization are limited to a grid-based basis. In this work, we present a new method to solve the generic ground-state chemistry problem in first quantization using any basis set. We achieve asymptotic speedup in Toffoli count for molecular orbitals, and orders of magnitude improvement using dual plane waves as compared to the second quantization counterparts. In some instances, our approach provides similar or even lower resources compared to previous first quantization plane wave algorithms that, unlike our approach, avoids the loading of the classical data. The developed methodology can be applied to variety of applications, where the matrix elements of a first quantized Hamiltonian lack simple circuit representation.
Related papers
- Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers [37.69303106863453]
We propose a state preparation method based on coupled cluster (CC) theory, which is a pillar of quantum chemistry on classical computers.
Our approach leads to a reduction of the classical computation overhead, and the number of CNOT and T gates by 28% and 57% on average.
arXiv Detail & Related papers (2024-06-17T14:10:10Z) - A quantum implementation of high-order power method for estimating geometric entanglement of pure states [39.58317527488534]
This work presents a quantum adaptation of the iterative higher-order power method for estimating the geometric measure of entanglement of multi-qubit pure states.
It is executable on current (hybrid) quantum hardware and does not depend on quantum memory.
We study the effect of noise on the algorithm using a simple theoretical model based on the standard depolarising channel.
arXiv Detail & Related papers (2024-05-29T14:40:24Z) - Orbital-rotated Fermi-Hubbard model as a benchmarking problem for
quantum chemistry with the exact solution [0.0]
We consider the problem of quantum chemistry, which is considered one of the important applications of quantum algorithms.
The large number of terms in molecular Hamiltonians is a major bottleneck when applying quantum algorithms to quantum chemistry.
We propose a set of exactly solvable Hamiltonians that has a comparable order of terms with molecular Hamiltonians.
arXiv Detail & Related papers (2024-02-19T06:24:54Z) - Variational-quantum-eigensolver-inspired optimization for spin-chain work extraction [39.58317527488534]
Energy extraction from quantum sources is a key task to develop new quantum devices such as quantum batteries.
One of the main issues to fully extract energy from the quantum source is the assumption that any unitary operation can be done on the system.
We propose an approach to optimize the extractable energy inspired by the variational quantum eigensolver (VQE) algorithm.
arXiv Detail & Related papers (2023-10-11T15:59:54Z) - Fighting noise with noise: a stochastic projective quantum eigensolver [0.0]
We present a novel approach to estimating physical observables which leads to a two order of magnitude reduction in the required sampling of the quantum state.
The method can be applied to excited-state calculations and simulation for general chemistry on quantum devices.
arXiv Detail & Related papers (2023-06-26T09:22:06Z) - Predicting RNA Secondary Structure on Universal Quantum Computer [2.277461161767121]
It is the first step for understanding how RNA structure folds from base sequences that to know how its secondary structure is formed.
Traditional energy-based algorithms are short of precision, particularly for non-nested sequences.
Gate model algorithms for universal quantum computing are not available.
arXiv Detail & Related papers (2023-05-16T15:57:38Z) - A hybrid quantum-classical algorithm for multichannel quantum scattering
of atoms and molecules [62.997667081978825]
We propose a hybrid quantum-classical algorithm for solving the Schr"odinger equation for atomic and molecular collisions.
The algorithm is based on the $S$-matrix version of the Kohn variational principle, which computes the fundamental scattering $S$-matrix.
We show how the algorithm could be scaled up to simulate collisions of large polyatomic molecules.
arXiv Detail & Related papers (2023-04-12T18:10:47Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - 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) - Quantum algorithms for grid-based variational time evolution [36.136619420474766]
We propose a variational quantum algorithm for performing quantum dynamics in first quantization.
Our simulations exhibit the previously observed numerical instabilities of variational time propagation approaches.
arXiv Detail & Related papers (2022-03-04T19:00:45Z) - Grid-based methods for chemistry simulations on a quantum computer [0.0]
We employ exactly-emulated quantum computers with up to 36 qubits to execute deep yet resource-frugal algorithms.
A range of tasks is explored, from ground state preparation and energy estimation to the dynamics of scattering and ionisation.
While we identify certain restrictions and caveats, generally the grid-based method is found to perform very well.
arXiv Detail & Related papers (2022-02-11T19:11:47Z) - Dequantizing the Quantum Singular Value Transformation: Hardness and
Applications to Quantum Chemistry and the Quantum PCP Conjecture [0.0]
We show that the Quantum Singular Value Transformation can be efficiently "dequantized"
We show that with inverse-polynomial precision, the same problem becomes BQP-complete.
We also discuss how this dequantization technique may help make progress on the central quantum PCP.
arXiv Detail & Related papers (2021-11-17T12:50:13Z) - Full-Dimensional Schr\"odinger Wavefunction Calculations using Tensors
and Quantum Computers: the Cartesian component-separated approach [0.0]
We explore a radically different approach, based on separability by Cartesian component, rather than by particle.
The approach appears to be very well suited for 3D grid-based methods in quantum chemistry.
We present an implementation for quantum computers, for which both the number of qubits, and the number of quantum gates, may be substantially reduced.
arXiv Detail & Related papers (2021-05-08T21:54:45Z) - Calculation of the ground-state Stark effect in small molecules using
the variational quantum eigensolver [0.0]
We study a quantum simulation for the hydrogen (H2) and lithium hydride (LiH) molecules, at an actual commercially available quantum computer, the IBM Q.
Using the Variational Quantum Eigensolver (VQE) method, we study the molecule's ground state energy versus interatomic distance, under the action of stationary electric fields.
arXiv Detail & Related papers (2021-03-22T11:49:42Z) - Sparse-Hamiltonian approach to the time evolution of molecules on
quantum computers [0.0]
We explore the possibility of mapping the molecular problem onto a sparse Hubbard-like Hamiltonian.
This allows a Green's-function-based approach to electronic structure via a hybrid quantum-classical algorithm.
arXiv Detail & Related papers (2020-09-26T20:32:06Z) - Electronic structure with direct diagonalization on a D-Wave quantum
annealer [62.997667081978825]
This work implements the general Quantum Annealer Eigensolver (QAE) algorithm to solve the molecular electronic Hamiltonian eigenvalue-eigenvector problem on a D-Wave 2000Q quantum annealer.
We demonstrate the use of D-Wave hardware for obtaining ground and electronically excited states across a variety of small molecular systems.
arXiv Detail & Related papers (2020-09-02T22:46:47Z) - Hybrid Quantum-Classical Eigensolver Without Variation or Parametric
Gates [0.0]
We present a process for obtaining the eigenenergy spectrum of electronic quantum systems.
This is achieved by projecting the Hamiltonian of a quantum system onto a limited effective Hilbert space.
A process for preparing short depth quantum circuits to measure the corresponding diagonal and off-diagonal terms of the effective Hamiltonian is given.
arXiv Detail & Related papers (2020-08-26T02:31:24Z)
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.