activity
20222026
most citedRapid initial state preparation for the quantum simulation of strongly correlated molecules

33 citations · 41 across the 13 of their papers we have counts for

collaborators

17 papers

quant-ph2026

Root-sparsity scaling for Hamiltonian simulation, differential equations and linear-system solvers

Dominic W. Berry, Abhishek Rawat, Sophia Simon +1

We give quantum algorithms for Hamiltonian simulation, linear differential equations, and linear systems with square-root dependence on sparsity. For an -sparse Hermitian matrix…

quant-ph2026

Multivariate Quantum Signal Processing

Guang Hao Low

We develop Multivariate Quantum Signal Processing for designing matrix-valued transformations of multiple noncommuting nonnormal block-encoded matrices. Our framework equips quantu…

quant-ph2026

Spectral amplification for ground-state energy estimation of electronic structure in first quantization

Alicja Dutkiewicz, Alec F. White, Guang Hao Low +6

We demonstrate an asymptotic gate complexity improvement in first-quantized ground-state energy estimation of electronic structure Hamiltonians in a plane wave basis by employing t…

quant-ph2026

A Denser Planar Surface Code

Guang Hao Low, William J. Huggins, Dominic W. Berry +4

We present a quantum code implementable on a regular D hex grid with an estimated encoding rate up to of that of a rotated surface code patch using circuit-level noi…

quant-ph2026

End-to-End Simulation of Chemical Dynamics on a Quantum Computer

Elliot C. Eklund, Arkin Tikku, Patrick Sinnott +4

Simulations of chemical dynamics are a powerful means for understanding chemistry. However, classical computers struggle to simulate many chemical processes, especially non-adiabat…

quant-ph2026

Near-frustration-free electronic structure Hamiltonian representations and lower bound certificates

Nicholas C. Rubin, Guang Hao Low, A. Eugene DePrince

Hamiltonian representations based on the sum-of-squares (SOS) hierarchy provide rigorous lower bounds on ground-state energies and facilitate the design of efficient classical and…

quant-ph2025★ 1 cited

The Grand Challenge of Quantum Applications

Ryan Babbush, Robbie King, Sergio Boixo +6

This perspective outlines promising pathways and critical obstacles on the road to developing useful quantum computing applications, drawing on insights from the Google Quantum AI…

quant-ph2025

The FLuid Allocation of Surface code Qubits (FLASQ) cost model for early fault-tolerant quantum algorithms

William J. Huggins, Tanuj Khattar, Amanda Xu +6

Holistic resource estimates are essential for guiding the development of fault-tolerant quantum algorithms and the computers they will run on. This is particularly true when we foc…

quant-ph2025★ 1 cited

Low-gate-count block encodings for second-quantized fermionic Hamiltonians

Diyi Liu, Shuchen Zhu, Guang Hao Low +2

Efficient block encoding of many-body Hamiltonians is a central requirement for quantum algorithms in scientific computing, particularly in the early fault-tolerant era. In this wo…

quant-ph2025

Optimal quantum simulation of linear non-unitary dynamics

Guang Hao Low, Rolando D. Somma

We present a quantum algorithm for simulating the time evolution generated by any bounded, time-dependent operator with non-positive logarithmic norm, thereby serving as a nat…

quant-ph2025

Quantum algorithm for linear matrix equations

Rolando D. Somma, Guang Hao Low, Dominic W. Berry +1

We describe an efficient quantum algorithm for solving the linear matrix equation AX+XB=C, where A, B, and C are given complex matrices and X is unknown. This is known as the Sylve…

quant-ph2025

Quantum simulation with sum-of-squares spectral amplification

Robbie King, Guang Hao Low, Ryan Babbush +2

We present sum-of-squares spectral amplification (SOSSA), a framework for improving quantum simulation relevant to low-energy problems. We show how SOSSA can be applied to problems…

quant-ph2024★ 33 cited

Rapid initial state preparation for the quantum simulation of strongly correlated molecules

Dominic W. Berry, Yu Tong, Tanuj Khattar +8

Studies on quantum algorithms for ground state energy estimation often assume perfect ground state preparation; however, in reality the initial state will have imperfect overlap wi…

physics.comp-ph2024★ 3 cited

Classification of electronic structures and state preparation for quantum computation of reaction chemistry

Maximilian Mörchen, Guang Hao Low, Thomas Weymuth +3

Quantum computation for chemical problems will require the construction of guiding states with sufficient overlap with a target state. Since easily available and initializable mean…

quant-ph2024★ 2 cited

End-to-End Quantum Simulation of a Chemical System

Wim van Dam, Hongbin Liu, Guang Hao Low +6

We demonstrate the first end-to-end integration of high-performance computing (HPC), reliable quantum computing, and AI in a case study on catalytic reactions producing chiral mole…

quant-ph2024★ 1 cited

Unified Architecture for Quantum Lookup Tables

Shuchen Zhu, Aarthi Sundaram, Guang Hao Low

Quantum access to arbitrary classical data encoded in unitary black-box oracles underlies interesting data-intensive quantum algorithms, such as machine learning or electronic stru…

quant-ph2022

Propagation of errors and quantitative quantum simulation with quantum advantage

S. Flannigan, N. Pearson, G. H. Low +5

The rapid development in hardware for quantum computing and simulation has led to much interest in problems where these devices can exceed the capabilities of existing classical co…