Simulating Hamiltonian dynamics in a programmable photonic quantum processor using linear combinations of unitary operations
Yue Yu, Yulin Chi, Chonghao Zhai, Jieshan Huang, Qihuang Gong and, Jianwei Wang

TL;DR
This paper demonstrates an improved multi-product Trotterization algorithm for simulating Hamiltonian dynamics, implemented experimentally on a silicon photonic quantum processor, achieving higher precision and near-deterministic success.
Contribution
The paper introduces a modified multi-product Trotterization combined with amplitude amplification, enabling more accurate and reliable quantum simulations on photonic hardware.
Findings
Higher simulation precision than traditional Trotterizations
Near-deterministic success probability achieved
Experimental validation on a four-qubit silicon photonic quantum processor
Abstract
Simulating the dynamic evolutions of physical and molecular systems in a quantum computer is of fundamental interest in many applications. Its implementation requires efficient quantum simulation algorithms. The Lie-Trotter-Suzuki approximation algorithm, also well known as the Trotterization, is a basic algorithm in quantum dynamic simulation. A multi-product algorithm that is a linear combination of multiple Trotterizations has been proposed to improve the approximation accuracy. Implementing such multi-product Trotterization in quantum computers however remains experimentally challenging and its success probability is limited. Here, we modify the multi-product Trotterization and combine it with the oblivious amplitude amplification to simultaneously reach a high simulation precision and high success probability. We experimentally implement the modified multi-product algorithm in an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Computing Algorithms and Architecture · Optical Network Technologies
