Simulating quantum chemistry in the seniority-zero space on qubit-based
quantum computers
- URL: http://arxiv.org/abs/2002.00035v2
- Date: Mon, 30 Nov 2020 17:25:09 GMT
- Title: Simulating quantum chemistry in the seniority-zero space on qubit-based
quantum computers
- Authors: Vincent E. Elfving, Marta Millaruelo, Jos\'e A. G\'amez, Christian
Gogolin
- Abstract summary: We combine the so-called seniority-zero, or paired-electron, approximation of computational quantum chemistry with techniques for simulating molecular chemistry on gate-based quantum computers.
We show that using the freed-up quantum resources for increasing the basis set can lead to more accurate results and reductions in the necessary number of quantum computing runs.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Accurate quantum chemistry simulations remain challenging on classical
computers for problems of industrially relevant sizes and there is reason for
hope that quantum computing may help push the boundaries of what is technically
feasible. While variational quantum eigensolver (VQE) algorithms may already
turn noisy intermediate scale quantum (NISQ) devices into useful machines, one
has to make all efforts to use the scarce quantum resources as efficiently as
possible. We combine the so-called seniority-zero, or paired-electron,
approximation of computational quantum chemistry with techniques for simulating
molecular chemistry on gate-based quantum computers and obtain a very resource
efficient quantum simulation algorithm. While some accuracy is lost through the
paired-electron approximation, we show that using the freed-up quantum
resources for increasing the basis set can lead to more accurate results and
reductions in the necessary number of quantum computing runs by several orders
of magnitude, already for a simple system like lithium hydride. We also discuss
an error mitigation scheme based on post-selection which shows an attractive
scaling when the given Hamiltonian format is considered, increasing the
viability of its NISQ implementation.
Related papers
- Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties?
We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.
We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - Scalable Quantum Algorithms for Noisy Quantum Computers [0.0]
This thesis develops two main techniques to reduce the quantum computational resource requirements.
The aim is to scale up application sizes on current quantum processors.
While the main focus of application for our algorithms is the simulation of quantum systems, the developed subroutines can further be utilized in the fields of optimization or machine learning.
arXiv Detail & Related papers (2024-03-01T19:36:35Z) - 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) - Differentiable matrix product states for simulating variational quantum
computational chemistry [6.954927515599816]
We propose a parallelizable classical simulator for variational quantum eigensolver(VQE)
Our simulator seamlessly integrates the quantum circuit evolution into the classical auto-differentiation framework.
As applications, we use our simulator to study commonly used small molecules such as HF, LiH and H$$O, as well as larger molecules CO$$, BeH$ and H$_4$ with up to $40$ qubits.
arXiv Detail & Related papers (2022-11-15T08:36:26Z) - Optimal Stochastic Resource Allocation for Distributed Quantum Computing [50.809738453571015]
We propose a resource allocation scheme for distributed quantum computing (DQC) based on programming to minimize the total deployment cost for quantum resources.
The evaluation demonstrates the effectiveness and ability of the proposed scheme to balance the utilization of quantum computers and on-demand quantum computers.
arXiv Detail & Related papers (2022-09-16T02:37:32Z) - Quantum Computing Quantum Monte Carlo [8.69884453265578]
We propose a hybrid quantum-classical algorithm that integrates quantum computing and quantum Monte Carlo.
Our work paves the way to solving practical problems with intermediatescale and early-fault tolerant quantum computers.
arXiv Detail & Related papers (2022-06-21T14:26:24Z) - Extending the reach of quantum computing for materials science with
machine learning potentials [0.3352108528371308]
We propose a strategy to extend the scope of quantum computational methods to large scale simulations using a machine learning potential.
We investigate the trainability of a machine learning potential selecting various sources of noise.
We construct the first machine learning potential from data computed on actual IBM Quantum processors for a hydrogen molecule.
arXiv Detail & Related papers (2022-03-14T15:59:30Z) - Recompilation-enhanced simulation of electron-phonon dynamics on IBM
Quantum computers [62.997667081978825]
We consider the absolute resource cost for gate-based quantum simulation of small electron-phonon systems.
We perform experiments on IBM quantum hardware for both weak and strong electron-phonon coupling.
Despite significant device noise, through the use of approximate circuit recompilation we obtain electron-phonon dynamics on current quantum computers comparable to exact diagonalisation.
arXiv Detail & Related papers (2022-02-16T19:00:00Z) - Quantum simulation of open quantum systems in heavy-ion collisions [0.0]
We present a framework to simulate the dynamics of hard probes such as heavy quarks or jets in a hot, strongly-coupled quark-gluon plasma (QGP) on a quantum computer.
Our work demonstrates the feasibility of simulating open quantum systems on current and near-term quantum devices.
arXiv Detail & Related papers (2020-10-07T18:00:02Z) - 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) - An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem.
The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
arXiv Detail & Related papers (2020-05-06T14:18:44Z)
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.