In this work we introduce an open source suite of quantum application-oriented performance benchmarks that is designed to measure the effectiveness of quantum computing hardware at executing quantum applications.
Quantum Physics
Combinatorial optimization is anticipated to be one of the primary use cases for quantum computation in the coming years.
Quantum Physics
The QED-C suite of Application-Oriented Benchmarks provides the ability to gauge performance characteristics of quantum computers as applied to real-world applications.
Quantum Physics
This paper investigates the experimental performance of a discrete portfolio optimization problem relevant to the financial services industry on the gate-model of quantum computing.
Quantum Physics
Such algorithms are usually implemented in a variational form, combining a classical optimization method with a quantum machine to find good solutions to an optimization problem.
Quantum Physics
Our goal is to mitigate the application impact of crosstalk noise through software techniques.
Quantum Physics Emerging Technologies
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
Open source software is becoming crucial in the design and testing of quantum algorithms.
Quantum Physics Mathematical Software Programming Languages
In May 2016 IBM released access to its 5-qubit quantum computer to the scientific community, its "IBM Quantum Experience" since acquiring over 25, 000 users from students, educators and researchers around the globe.
Quantum Physics
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing.
Quantum Physics Computational Physics