Quantum computing for healthcare: A review
In recent years, the interdisciplinary field of quantum computing has rapidly developed and
garnered substantial interest from both academia and industry due to its ability to process …
garnered substantial interest from both academia and industry due to its ability to process …
Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …
and industries including computational science, mathematics, finance, pharmaceutical …
Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments
Today's experimental noisy quantum processors can compete with and surpass all known
algorithms on state-of-the-art supercomputers for the computational benchmark task of …
algorithms on state-of-the-art supercomputers for the computational benchmark task of …
Shallow shadows: Expectation estimation using low-depth random Clifford circuits
We provide practical and powerful schemes for learning properties of a quantum state using
a small number of measurements. Specifically, we present a randomized measurement …
a small number of measurements. Specifically, we present a randomized measurement …
The complexity of NISQ
The recent proliferation of NISQ devices has made it imperative to understand their power. In
this work, we define and study the complexity class NISQ, which encapsulates problems that …
this work, we define and study the complexity class NISQ, which encapsulates problems that …
Triply efficient shadow tomography
Given copies of a quantum state ρ, a shadow tomography protocol aims to learn all
expectation values from a fixed set of observables, to within a given precision ε. We say that …
expectation values from a fixed set of observables, to within a given precision ε. We say that …
Matchgate shadows for fermionic quantum simulation
Abstract “Classical shadows” are estimators of an unknown quantum state, constructed from
suitably distributed random measurements on copies of that state (Huang et al. in Nat Phys …
suitably distributed random measurements on copies of that state (Huang et al. in Nat Phys …
Twenty years of auxiliary-field quantum Monte Carlo in quantum chemistry: An overview and assessment on main group chemistry and bond-breaking
In this work, we present an overview of the phaseless auxiliary-field quantum Monte Carlo
(ph-AFQMC) approach from a computational quantum chemistry perspective and present a …
(ph-AFQMC) approach from a computational quantum chemistry perspective and present a …
Integrating quantum computing resources into scientific HPC ecosystems
Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …
[HTML][HTML] Classical shadows with noise
The classical shadows protocol, recently introduced by Huang, Kueng, and Preskill [Nat.
Phys. 16, 1050 (2020)], is a quantum-classical protocol to estimate properties of an unknown …
Phys. 16, 1050 (2020)], is a quantum-classical protocol to estimate properties of an unknown …