Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices.
Quantum Physics Chemical Physics Computational Physics
We describe the role of time in Galilean relativity and touch on the relationship between temporal and spatial uncertainty.
General Physics
In order to support near-term applications of quantum computing, a new compute paradigm has emerged--the quantum-classical cloud--in which quantum computers (QPUs) work in tandem with classical computers (CPUs) via a shared cloud infrastructure.
Quantum Physics Emerging Technologies
We introduce an abstract machine architecture for classical/quantum computations---including compilation---along with a quantum instruction language called Quil for explicitly writing these computations.
Quantum Physics Emerging Technologies Programming Languages
A deep learning package for many-body potential energy representation and molecular dynamics
Chemical Physics Atomic and Molecular Clusters J.2
Second, we illustrate how to modify the objective function in machine learning algorithms to promote globally stable models, with implications for the modeling of fluid and plasma flows.
Fluid Dynamics Computational Physics Plasma Physics
As has been the case with fastMRI, increasing accessibility to raw prostate MRI data will further facilitate research in MR image reconstruction and evaluation with the larger goal of improving the utility of MRI for prostate cancer detection and evaluation.
Medical Physics Image and Video Processing
Superconducting circuits have emerged as a promising platform to build quantum processors.
Quantum Physics
In principle, any quantum computation could be described using OpenQASM 2, but there is a need to describe a broader set of circuits beyond the language of qubits and gates.
Quantum Physics
This document describes a quantum assembly language (QASM) called OpenQASM that is used to implement experiments with low depth quantum circuits.
Quantum Physics