activity
20172026
most citedThe Chronus Quantum (ChronusQ) Software Package

129 citations · 281 across the 20 of their papers we have counts for

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8 papers · 1 filter

quant-ph2026

-efficient unitary synthesis via block-sparse Hamiltonian simulation

Diyi Liu, Shuchen Zhu, Wibe Albert de Jong +3

We construct Clifford+ circuits implementing arbitrary -qubit unitaries with worst-case -count at constant operator-norm error, where , imp…

quant-ph2026

Exponentially Compressed and Garbage-Free Alias Sampling for Polynomial State Preparation

Diyi Liu, Hanyu Wang, Shuchen Zhu +4

Coherent alias sampling implement an important subroutine for block encoding and qubitization based quantum simulation using quantum lookup table. Related constructions exploit dat…

quant-ph2026

Clifford-efficient sparse state preparation for molecular wavefunctions

Yingrong Chen, Nathan A. Baker, Rushi Gong +7

Sparse quantum state preparation concerns an -qubit target state that is a superposition of only computational basis states. Existing approaches exploit this sparsit…

quant-ph2026★ 1 cited

QDK/Chemistry: A Modular Toolkit for Quantum Chemistry Applications

Nathan A. Baker, Brian Bilodeau, Chi Chen +23

We present QDK/Chemistry, a software toolkit for quantum chemistry workflows targeting quantum computers. The toolkit addresses a key challenge in the field: while quantum algorith…

quant-ph2024

A circuit-generated quantum subspace algorithm for the variational quantum eigensolver

Mark R. Hirsbrunner, J. Wayne Mullinax, Yizhi Shen +4

Recent research has shown that wavefunction evolution in real- and imaginary-time can generate quantum subspaces with significant utility for obtaining accurate ground state energi…

quant-ph2023★ 3 cited

Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach

Yizhi Shen, Daan Camps, Aaron Szasz +5

Ground state energy estimation in physical, chemical, and materials sciences is one of the most promising applications of quantum computing. In this work, we introduce a new hybrid…

quant-ph2023

Computing the many-body Green's function with adaptive variational quantum dynamics

Niladri Gomes, David B. Williams-Young, Wibe A. de Jong

We present a method to compute the many-body real-time Green's function using an adaptive variational quantum dynamics simulation approach. The real-time Green's function involves…

quant-ph2022★ 33 cited

Real-Time Krylov Theory for Quantum Computing Algorithms

Yizhi Shen, Katherine Klymko, James Sud +3

Quantum computers provide new avenues to access ground and excited state properties of systems otherwise difficult to simulate on classical hardware. New approaches using subspaces…