AQUA@home was a
volunteer computing project operated by
D-Wave Systems that ran on the
Berkeley Open Infrastructure for Network Computing (BOINC)
software platform. It ceased functioning in August 2011. Its goal was to predict the performance of
superconducting adiabatic quantum computers on a variety of problems arising in fields ranging from
materials science to
machine learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence.
Machine ...
. It designed and analyzed
quantum computing
Quantum computing is a type of computation whose operations can harness the phenomena of quantum mechanics, such as superposition, interference, and entanglement. Devices that perform quantum computations are known as quantum computers. Though ...
algorithm
In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific Computational problem, problems or to perform a computation. Algorithms are used as specificat ...
s, using
Quantum Monte Carlo
Quantum Monte Carlo encompasses a large family of computational methods whose common aim is the study of complex quantum systems. One of the major goals of these approaches is to provide a reliable solution (or an accurate approximation) of the ...
techniques.
AQUA@home was the first BOINC project to provide
multi-threaded applications. It was also the first project to deploy an
OpenCL
OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-progra ...
test application under BOINC.
References
External links
Papers resulting from AQUA@home's computations
Science in society
Volunteer computing projects
Quantum information science
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