Quantum error mitigation

Z Cai, R Babbush, SC Benjamin, S Endo… - Reviews of Modern …, 2023 - APS
For quantum computers to successfully solve real-world problems, it is necessary to tackle
the challenge of noise: the errors that occur in elementary physical components due to …

Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation

HL Huang, XY Xu, C Guo, G Tian, SJ Wei… - Science China Physics …, 2023 - Springer
Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions

Y Alexeev, M Amsler, MA Barroca, S Bassini… - Future Generation …, 2024 - Elsevier
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …

Quantum information and algorithms for correlated quantum matter

K Head-Marsden, J Flick, CJ Ciccarino… - Chemical …, 2020 - ACS Publications
Discoveries in quantum materials, which are characterized by the strongly quantum-
mechanical nature of electrons and atoms, have revealed exotic properties that arise from …

Fermionic partial tomography via classical shadows

A Zhao, NC Rubin, A Miyake - Physical Review Letters, 2021 - APS
We propose a tomographic protocol for estimating any k-body reduced density matrix (k-
RDM) of an n-mode fermionic state, a ubiquitous step in near-term quantum algorithms for …

Local, expressive, quantum-number-preserving VQE ansätze for fermionic systems

GLR Anselmetti, D Wierichs, C Gogolin… - New Journal of …, 2021 - iopscience.iop.org
We propose VQE circuit fabrics with advantageous properties for the simulation of strongly
correlated ground and excited states of molecules and materials under the Jordan–Wigner …

Real-time evolution for ultracompact hamiltonian eigenstates on quantum hardware

K Klymko, C Mejuto-Zaera, SJ Cotton, F Wudarski… - PRX Quantum, 2022 - APS
In this work we present a detailed analysis of variational quantum phase estimation (VQPE),
a method based on real-time evolution for ground-and excited-state estimation on near-term …

Quantum self-consistent equation-of-motion method for computing molecular excitation energies, ionization potentials, and electron affinities on a quantum computer

A Asthana, A Kumar, V Abraham, H Grimsley… - Chemical …, 2023 - pubs.rsc.org
Near-term quantum computers are expected to facilitate material and chemical research
through accurate molecular simulations. Several developments have already shown that …

Quantum HF/DFT-embedding algorithms for electronic structure calculations: Scaling up to complex molecular systems

M Rossmannek, PK Barkoutsos, PJ Ollitrault… - The Journal of …, 2021 - pubs.aip.org
In the near future, material and drug design may be aided by quantum computer assisted
simulations. These have the potential to target chemical systems intractable by the most …

Leveraging small-scale quantum computers with unitarily downfolded hamiltonians

R Huang, C Li, FA Evangelista - PRX Quantum, 2023 - APS
In this work, we propose a quantum unitary downfolding formalism based on the driven
similarity renormalization group (QDSRG) that may be combined with quantum algorithms …