Higher-order product formulas for double bracket iteration quantum algorithms

This work aims to study the effects of adding higher-order terms into the group commutator formula in the previously studied double-bracket iterations (DBI) quantum algorithm. In particular, the effects of adding a six-gate third-order product formula, S3, is studied and compared to the previousl...

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Main Author: Ashwinie Ghanesh
Other Authors: Koh Teck Seng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/175695
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1756952024-05-06T15:36:51Z Higher-order product formulas for double bracket iteration quantum algorithms Ashwinie Ghanesh Koh Teck Seng School of Physical and Mathematical Sciences Gluza Marek Ludwik kohteckseng@ntu.edu.sg, marekludwik.gluza@ntu.edu.sg Physics Quantum computing Quantum information This work aims to study the effects of adding higher-order terms into the group commutator formula in the previously studied double-bracket iterations (DBI) quantum algorithm. In particular, the effects of adding a six-gate third-order product formula, S3, is studied and compared to the previously studied DBI algorithm for second-order S2 group commutator terms. In the original study, double-bracket iterations for constructing diagonalizing quantum circuits were implemented. The method involves interleaving evolutions generated by the input Hamiltonian with variational choices of diagonal evolutions during implementation on a quantum computer. To address near-term implementation challenges, the proposal includes optimizations for diagonal evolution generators and recursion step durations. Numerical examples demonstrate that even with a limited number of recursion steps, double-bracket iterations possess sufficient expressive power to approximate eigenstates of relevant quantum models. Importantly, this method overcomes train ability limitations associated with brute force optimization of unstructured circuits and presents a more feasible implementation compared to quantum phase estimation. The study not only paves the way for practical near-term quantum computing experiments but also expands the quantum computing toolkit by introducing purposeful quantum algorithms based on double-bracket flows. Bachelor's degree 2024-05-03T05:28:07Z 2024-05-03T05:28:07Z 2024 Final Year Project (FYP) Ashwinie Ghanesh (2024). Higher-order product formulas for double bracket iteration quantum algorithms. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175695 https://hdl.handle.net/10356/175695 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Physics
Quantum computing
Quantum information
spellingShingle Physics
Quantum computing
Quantum information
Ashwinie Ghanesh
Higher-order product formulas for double bracket iteration quantum algorithms
description This work aims to study the effects of adding higher-order terms into the group commutator formula in the previously studied double-bracket iterations (DBI) quantum algorithm. In particular, the effects of adding a six-gate third-order product formula, S3, is studied and compared to the previously studied DBI algorithm for second-order S2 group commutator terms. In the original study, double-bracket iterations for constructing diagonalizing quantum circuits were implemented. The method involves interleaving evolutions generated by the input Hamiltonian with variational choices of diagonal evolutions during implementation on a quantum computer. To address near-term implementation challenges, the proposal includes optimizations for diagonal evolution generators and recursion step durations. Numerical examples demonstrate that even with a limited number of recursion steps, double-bracket iterations possess sufficient expressive power to approximate eigenstates of relevant quantum models. Importantly, this method overcomes train ability limitations associated with brute force optimization of unstructured circuits and presents a more feasible implementation compared to quantum phase estimation. The study not only paves the way for practical near-term quantum computing experiments but also expands the quantum computing toolkit by introducing purposeful quantum algorithms based on double-bracket flows.
author2 Koh Teck Seng
author_facet Koh Teck Seng
Ashwinie Ghanesh
format Final Year Project
author Ashwinie Ghanesh
author_sort Ashwinie Ghanesh
title Higher-order product formulas for double bracket iteration quantum algorithms
title_short Higher-order product formulas for double bracket iteration quantum algorithms
title_full Higher-order product formulas for double bracket iteration quantum algorithms
title_fullStr Higher-order product formulas for double bracket iteration quantum algorithms
title_full_unstemmed Higher-order product formulas for double bracket iteration quantum algorithms
title_sort higher-order product formulas for double bracket iteration quantum algorithms
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175695
_version_ 1800916245559640064