Molecular Excited State Calculations with Adaptive Wavefunctions on a
Quantum Eigensolver Emulation: Reducing Circuit Depth and Separating Spin
States
- URL: http://arxiv.org/abs/2105.10275v1
- Date: Fri, 21 May 2021 10:59:29 GMT
- Title: Molecular Excited State Calculations with Adaptive Wavefunctions on a
Quantum Eigensolver Emulation: Reducing Circuit Depth and Separating Spin
States
- Authors: Hans Hon Sang Chan, Nathan Fitzpatrick, Javier Segarra-Marti, Michael
J. Bearpark, David P. Tew
- Abstract summary: Variational Quantum Deflation (VQD) is an extension of the Variational Quantum Eigensolver (VQE) for calculating electronic excited state energies.
We investigate the use of adaptive quantum circuit growth (ADAPT-VQE) in excited state VQD calculations.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Ab initio electronic excited state calculations are necessary for the
quantitative study of photochemical reactions, but their accurate computation
on classical computers is plagued by prohibitive scaling. The Variational
Quantum Deflation (VQD) is an extension of the Variational Quantum Eigensolver
(VQE) for calculating electronic excited state energies, and has the potential
to address some of these scaling challenges using quantum computers. However,
quantum computers available in the near term can only support a limited number
of circuit operations, so reducing the quantum computational cost in VQD
methods is critical to their realisation. In this work, we investigate the use
of adaptive quantum circuit growth (ADAPT-VQE) in excited state VQD
calculations, a strategy that has been successful previously in reducing the
resource for ground state energy VQE calculations. We also invoke spin
restrictions to separate the recovery of eigenstates with different spin
symmetry to reduce the number of calculations and accumulation of errors. We
created a quantum eigensolver emulation package - Quantum Eigensolver Building
on Achievements of Both quantum computing and quantum chemistry (QEBAB) - for
testing the proposed adaptive procedure against two VQD methods that use
fixed-length quantum circuits. For a lithium hydride test case we found that
the spin-restricted adaptive growth variant of VQD uses the most compact
circuits by far, consistently recovers adequate electron correlation energy for
different nuclear geometries and eigenstates while isolating the singlet and
triplet manifold. This work is a further step towards developing techniques
which improve the efficiency of hybrid quantum algorithms for excited state
quantum chemistry, opening up the possibility of exploiting real quantum
computers for electronic excited state calculations sooner than previously
anticipated.
Related papers
- Efficient charge-preserving excited state preparation with variational quantum algorithms [33.03471460050495]
We introduce a charge-preserving VQD (CPVQD) algorithm, designed to incorporate symmetry and the corresponding conserved charge into the VQD framework.
Results show applications in high-energy physics, nuclear physics, and quantum chemistry.
arXiv Detail & Related papers (2024-10-18T10:30:14Z) - Quantum Subroutine for Variance Estimation: Algorithmic Design and Applications [80.04533958880862]
Quantum computing sets the foundation for new ways of designing algorithms.
New challenges arise concerning which field quantum speedup can be achieved.
Looking for the design of quantum subroutines that are more efficient than their classical counterpart poses solid pillars to new powerful quantum algorithms.
arXiv Detail & Related papers (2024-02-26T09:32:07Z) - Folded Spectrum VQE : A quantum computing method for the calculation of
molecular excited states [0.0]
Folded Spectrum (FS) method as extension to Variational Quantum Eigensolver (VQE) algorithm for computation of molecular excited states.
Inspired by the variance-based methods from the Quantum Monte Carlo literature, the FS method minimizes the energy variance, thus requiring a computationally expensive squared Hamiltonian.
We apply the FS-VQE method to small molecules for a significant reduction of the computational cost.
arXiv Detail & Related papers (2023-05-08T15:34:56Z) - 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) - 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) - An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian
Simulation [55.41644538483948]
Current generation noisy intermediate-scale quantum (NISQ) computers are severely limited in chip size and error rates.
We derive localized circuit transformations to efficiently compress quantum circuits for simulation of certain spin Hamiltonians known as free fermions.
The proposed numerical circuit compression algorithm behaves backward stable and scales cubically in the number of spins enabling circuit synthesis beyond $mathcalO(103)$ spins.
arXiv Detail & Related papers (2021-08-06T19:38:03Z) - Computing molecular excited states on a D-Wave quantum annealer [52.5289706853773]
We demonstrate the use of a D-Wave quantum annealer for the calculation of excited electronic states of molecular systems.
These simulations play an important role in a number of areas, such as photovoltaics, semiconductor technology and nanoscience.
arXiv Detail & Related papers (2021-07-01T01:02:17Z) - VQE Method: A Short Survey and Recent Developments [5.9640499950316945]
The variational quantum eigensolver (VQE) is a method that uses a hybrid quantum-classical computational approach to find eigenvalues and eigenvalues of a Hamiltonian.
VQE has been successfully applied to solve the electronic Schr"odinger equation for a variety of small molecules.
Modern quantum computers are not capable of executing deep quantum circuits produced by using currently available ansatze.
arXiv Detail & Related papers (2021-03-15T16:25:36Z) - 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) - Gate-free state preparation for fast variational quantum eigensolver
simulations: ctrl-VQE [0.0]
VQE is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers.
We propose an alternative algorithm where the quantum circuit used for state preparation is removed entirely and replaced by a quantum control routine.
As with VQE, the objective function optimized is the expectation value of the qubit-mapped molecular Hamiltonian.
arXiv Detail & Related papers (2020-08-10T17:53:09Z) - Simulating quantum chemistry in the seniority-zero space on qubit-based
quantum computers [0.0]
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.
arXiv Detail & Related papers (2020-01-31T19:44:37Z)
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.