9,934 research outputs found
A model for quantum queue
We consider an extension of Discrete Time Markov Chain queueing model to the
quantum domain by use of Discrete Time Quantum Markov Chain. We introduce
methods for numerical analysis of such models. Using this tools we show that
quantum model behaves fundamentally differently from the classical one.Comment: 14 pages, 7 figure
Probability assignment in a quantum statistical model
The evolution of a quantum system, appropriate to describe nano-magnets, can
be mapped on a Markov process, continuous in . The mapping implies a
probability assignment that can be used to study the probability density (PDF)
of the magnetization. This procedure is not the common way to assign
probabilities, usually an assignment that is compatible with the von Neumann
entropy is made. Making these two assignments for the same system and comparing
both PDFs, we see that they differ numerically. In other words the assignments
lead to different PDFs for the same observable within the same model for the
dynamics of the system. Using the maximum entropy principle we show that the
assignment resulting from the mapping on the Markov process makes less
assumptions than the other one. Using a stochastic queue model that can be
mapped on a quantum statistical model, we control both assignments on
compatibility with the Gibbs procedure for systems in thermal equilibrium and
argue that the assignment resulting from the mapping on the Markov process
satisfies the compatibility requirements.Comment: 8 pages, 2 eps figures, presented at the 26-th International Workshop
on Bayesian Inference and Maximum Entropy Methods in Science and Engineering,
200
QuNetSim: A Software Framework for Quantum Networks
As quantum internet technologies develop, the need for simulation software
and education for quantum internet rises. QuNetSim aims to fill this need.
QuNetSim is a Python software framework that can be used to simulate quantum
networks up to the network layer. The goal of QuNetSim is to make it easier to
investigate and test quantum networking protocols over various quantum network
configurations and parameters. The framework incorporates many known quantum
network protocols so that users can quickly build simulations and beginners can
easily learn to implement their own quantum networking protocols.Comment: 11 pages, 6 figure
An Experimental Microarchitecture for a Superconducting Quantum Processor
Quantum computers promise to solve certain problems that are intractable for
classical computers, such as factoring large numbers and simulating quantum
systems. To date, research in quantum computer engineering has focused
primarily at opposite ends of the required system stack: devising high-level
programming languages and compilers to describe and optimize quantum
algorithms, and building reliable low-level quantum hardware. Relatively little
attention has been given to using the compiler output to fully control the
operations on experimental quantum processors. Bridging this gap, we propose
and build a prototype of a flexible control microarchitecture supporting
quantum-classical mixed code for a superconducting quantum processor. The
microarchitecture is based on three core elements: (i) a codeword-based event
control scheme, (ii) queue-based precise event timing control, and (iii) a
flexible multilevel instruction decoding mechanism for control. We design a set
of quantum microinstructions that allows flexible control of quantum operations
with precise timing. We demonstrate the microarchitecture and microinstruction
set by performing a standard gate-characterization experiment on a transmon
qubit.Comment: 13 pages including reference. 9 figure
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