Distributed quantum programming

Optimizing Teleportation Cost in Multi-Partition Distributed Quantum Circuits

There are many obstacles in quantum circuits implementation with large scales, so distributed quantum systems are appropriate solution for these quantum circuits. Therefore, reducing the number of quantum teleportation leads to improve the cost of implementing a quantum circuit. The minimum number of teleportations can be considered as a measure of the efficiency of distributed quantum systems....

Quantum programming

Supporting Distributed Extreme Programming

Extreme programming (XP) is arguably improving the productivity of small, co-located software development teams. In this extended abstract, we describe an approach that overcomes the XP constraint of co-location by introducing a process-support environment (called MILOS) that helps software development teams to maintain XP practices in a distributed setting. MILOS supports project coordination,...

Distributed Meta - Programming ∗ ( extended

Distributed meta-programming (DMP), which allows code to be generated and distributed at run-time, has already become a common practice. However, code generation currently often relies on rather ad hoc approaches that represent code as plain text. making DMP notoriously error-prone. This unfortunate situation is further exacerbated due to issues such as mobility (of code) and locality and heter...

Distributed Programming in GARF

GARF is an object-oriented programming environment aimed to support the design of reliable distributed applications. Its computational model is based on two programming levels: the functional level and the behavioral level. At the functional level, software functionalities are described using passive objects, named data objects, in a centralized, volatile, and failure free environment. At the b...