.png){kind=icon}
返回
Digitized Counterdiabatic Quantum Algorithm for Protein Folding
.png){kind=icon}
OA
AI
DOI：10.1103/PhysRevApplied.20.014024.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We propose a hybrid classical-quantum digitized counterdiabatic algorithm to tackle the protein-folding problem on a tetrahedral lattice. Digitized counterdiabatic quantum computing is a paradigm developed to compress quantum algorithms via the digitization of the counterdiabatic acceleration of a given adi- abatic quantum computation. Finding the lowest-energy configuration of the amino-acid sequence is an NP-hard optimization problem that plays a prominent role in chemistry, biology, and drug design. We outperform state-of-the-art quantum algorithms using problem-inspired and hardware-efficient variational quantum circuits. We apply our method to proteins with up to nine amino acids, using up to 17 qubits on quantum hardware. Specifically, we benchmark our quantum algorithm with Quantinuum's trapped ions, and Google's and IBM's superconducting circuits, obtaining high success probabilities with low-depth circuits as required in the noisy intermediate-scale quantum era.
期刊
IF:
4.4
论文数:
7.1K
被引数:
2.8W
机构
引用论文
分享收藏
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving.png)
PHYSICAL REVIEW XOAAI
PHYSICAL REVIEW XIF15.7
OAAI分享收藏From Pulses to Circuits and Back Again: A Quantum Optimal Control Perspective on Variational Quantum AlgorithmsPRX QUANTUMOAAI
PRX QUANTUMIF11
OAAI分享收藏分享收藏
查看更多内容