Experimental quantum computational chemistry with optimised unitary coupled cluster ansatz
- URL: http://arxiv.org/abs/2212.08006v3
- Date: Mon, 17 Jun 2024 11:25:18 GMT
- Title: Experimental quantum computational chemistry with optimised unitary coupled cluster ansatz
- Authors: Shaojun Guo, Jinzhao Sun, Haoran Qian, Ming Gong, Yukun Zhang, Fusheng Chen, Yangsen Ye, Yulin Wu, Sirui Cao, Kun Liu, Chen Zha, Chong Ying, Qingling Zhu, He-Liang Huang, Youwei Zhao, Shaowei Li, Shiyu Wang, Jiale Yu, Daojin Fan, Dachao Wu, Hong Su, Hui Deng, Hao Rong, Yuan Li, Kaili Zhang, Tung-Hsun Chung, Futian Liang, Jin Lin, Yu Xu, Lihua Sun, Cheng Guo, Na Li, Yong-Heng Huo, Cheng-Zhi Peng, Chao-Yang Lu, Xiao Yuan, Xiaobo Zhu, Jian-Wei Pan,
- Abstract summary: Experimental realisation of scalable and high-precision quantum chemistry simulation remains elusive.
We push forward the limit of experimental quantum computational chemistry and successfully scale up the implementation of VQE with an optimised unitary coupled-cluster ansatz to 12 qubits.
- Score: 23.6818896497932
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum computational chemistry has emerged as an important application of quantum computing. Hybrid quantum-classical computing methods, such as variational quantum eigensolvers (VQE), have been designed as promising solutions to quantum chemistry problems, yet challenges due to theoretical complexity and experimental imperfections hinder progress in achieving reliable and accurate results. Experimental works for solving electronic structures are consequently still restricted to nonscalable (hardware efficient) or classically simulable (Hartree-Fock) ansatz, or limited to a few qubits with large errors. The experimental realisation of scalable and high-precision quantum chemistry simulation remains elusive. Here, we address the critical challenges {associated with} solving molecular electronic structures using noisy quantum processors. Our protocol presents significant improvements in the circuit depth and running time, key metrics for chemistry simulation. Through systematic hardware enhancements and the integration of error mitigation techniques, we push forward the limit of experimental quantum computational chemistry and successfully scale up the implementation of VQE with an optimised unitary coupled-cluster ansatz to 12 qubits. We produce high-precision results of the ground-state energy for molecules with error suppression by around two orders of magnitude. We achieve chemical accuracy for H$_2$ at all bond distances and LiH at small bond distances in the experiment, even beyond the two recent concurrent works. Our work demonstrates a feasible path towards a scalable solution to electronic structure calculation, validating the key technological features and identifying future challenges for this goal.
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) - Pushing the Limits of Quantum Computing for Simulating PFAS Chemistry [0.3655818759482589]
Solving the electronic Schrodinger equation is the core problem of computational chemistry.
We propose an end-to-end quantum chemistry pipeline based on the variational quantum eigensolver (VQE) algorithm.
Our platform orchestrates hundreds of simulation jobs on compute resources to efficiently complete ab initio chemistry experiments.
arXiv Detail & Related papers (2023-11-02T13:58:02Z) - Quantum Information Driven Ansatz (QIDA): shallow-depth empirical
quantum circuits from Quantum Chemistry [0.0]
We propose a new approach for constructing variational quantum circuits, leveraging quantum mutual information associated with classical Quantum Chemistry states.
The proposed methodology gives rise to highly effective ans"atze, surpassing the standard empirical ladder-entangler ansatz in performance.
arXiv Detail & Related papers (2023-09-26T21:50:02Z) - Compilation of a simple chemistry application to quantum error correction primitives [44.99833362998488]
We estimate the resources required to fault-tolerantly perform quantum phase estimation on a minimal chemical example.
We find that implementing even a simple chemistry circuit requires 1,000 qubits and 2,300 quantum error correction rounds.
arXiv Detail & Related papers (2023-07-06T18:00:10Z) - Quantum Imitation Learning [74.15588381240795]
We propose quantum imitation learning (QIL) with a hope to utilize quantum advantage to speed up IL.
We develop two QIL algorithms, quantum behavioural cloning (Q-BC) and quantum generative adversarial imitation learning (Q-GAIL)
Experiment results demonstrate that both Q-BC and Q-GAIL can achieve comparable performance compared to classical counterparts.
arXiv Detail & Related papers (2023-04-04T12:47:35Z) - Estimating Phosphorescent Emission Energies in Ir(III) Complexes using
Large-Scale Quantum Computing Simulations [0.0]
We apply the iterative qubit coupled cluster (iQCC) method on classical hardware to the calculation of the transition energies in nine phosphorescent iridium complexes.
Our simulations would require a gate-based quantum computer with a minimum of 72 fully-connected and error-corrected logical qubits.
The iQCC quantum method is found to match the accuracy of the fine-tuned DFT functionals, has a better Pearson correlation coefficient, and still has considerable potential for systematic improvement.
arXiv Detail & Related papers (2021-11-07T20:02:10Z) - Information Scrambling in Computationally Complex Quantum Circuits [56.22772134614514]
We experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor.
We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate.
arXiv Detail & Related papers (2021-01-21T22:18:49Z) - Engineering analog quantum chemistry Hamiltonians using cold atoms in
optical lattices [69.50862982117127]
We benchmark the working conditions of the numerically analog simulator and find less demanding experimental setups.
We also provide a deeper understanding of the errors of the simulation appearing due to discretization and finite size effects.
arXiv Detail & Related papers (2020-11-28T11:23:06Z) - 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) - Quantum computation of silicon electronic band structure [0.0]
We show that unprecedented methods used in quantum chemistry, designed to simulate molecules on quantum processors, can be extended to calculate properties of periodic solids.
In particular, we present minimal depth circuits implementing the variational quantum eigensolver algorithm and successfully use it to compute the band structure of silicon on a quantum machine for the first time.
arXiv Detail & Related papers (2020-06-06T07:45:06Z) - 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.