Task analysis Archives - IEEE Transactions on Quantum Engineering

Enabling Efficient Real-Time Calibration on Cloud Quantum Machines

June 14, 2023Yiding LiuQuantum ComputingCalibration, Logic gates, Noise measurement, Quantum computing, Qubit, Reliability, Task analysis

Noisy intermediate-scale quantum computers are widely used for quantum computing (QC) from quantum cloud providers. Among them, superconducting quantum computers, with their high scalability and mature processing technology based on traditional silicon-based chips, have become the preferred solution for most commercial companies and research institutions to develop QC. However, superconducting quantum computers suffer from fluctuation […]

A Distributed Learning Scheme for Variational Quantum Algorithms

November 2, 2022Yuxuan DuOpen Access, Quantum ComputingOptimization, Quantum algorithm, Quantum circuit, Quantum computing, Qubit, Task analysis, Training

Variational quantum algorithms (VQAs) are prime contenders to gain computational advantages over classical algorithms using near-term quantum machines. As such, many endeavors have been made to accelerate the optimization of modern VQAs in past years. To further improve the capability of VQAs, here, we propose a quantum distributed optimization scheme (dubbed as QUDIO), whose back […]

A Distributed Learning Scheme for Variational Quantum Algorithms

May 16, 2022Yuxuan Du; Yang Qian; Xingyao Wu; Dacheng TaoOpen Access, Quantum InformationOptimization, Quantum algorithm, Quantum circuit, Quantum computing, Qubit, Task analysis, Training

Efficient Discrete Feature Encoding for Variational Quantum Classifier

August 10, 2021Hiroshi Yano; Yudai Suzuki; Kohei M. Itoh; Rudy Raymond; Naoki YamamotoOpen Access, Quantum InformationEncoding, Machine learning, Quantum computing, Quantum mechanics, Quantum state, Qubit, Task analysis

Recent days have witnessed significant interests in applying quantum-enhanced techniques for solving a variety of machine learning tasks. Variational methods that use quantum resources of imperfect quantum devices with the help of classical computing techniques are popular for supervised learning. Variational quantum classification (VQC) is one of such methods with possible quantum advantage in using […]

QuNetSim: A Software Framework for Quantum Networks

June 25, 2021Stephen Diadamo; Janis Nötzel; Benjamin Zanger; Mehmet Mert BeşeOpen Access, Quantum Information, Quantum SoftwareComputational modeling, Physical layer, Protocols, Quantum entanglement, Quantum networks, Qubit, Task analysis

As quantum network technologies develop, the need for teaching and engineering tools such as simulators and emulators rises. QuNetSim addresses this need. QuNetSim is a Python software framework that delivers an easy-to-use interface for simulating quantum networks at the network layer, which can be extended at little effort of the user to implement the corresponding […]

Compiler Design for Distributed Quantum Computing

January 22, 2021Davide Ferrari; Angela Sara Cacciapuoti; Michele Amoretti; Marcello CaleffiOpen Access, Quantum Computer Architecture, Quantum InformationComputer architecture, Integrated circuit modeling, Logic gates, Quantum circuit, Quantum computing, Qubit, Task analysis

In distributed quantum computing architectures, with the network and communications functionalities provided by the Quantum Internet, remote quantum processing units can communicate and cooperate for executing computational tasks that single, noisy, intermediate-scale quantum devices cannot handle by themselves. To this aim, distributed quantum computing requires a new generation of quantum compilers, for mapping any quantum […]

Preparing Dicke States on a Quantum Computer

December 1, 2020Chandra Sekhar Mukherjee; Subhamoy Maitra; Vineet Gaurav; Dibyendu RoyOpen Access, Quantum Computer Architecture, Quantum InformationComputer architecture, Logic gates, Matrix decomposition, Noise measurement, Qubit, Task analysis, Tutorials

Exact requirement of controlled NOT (CNOT) and single-qubit gates to implement a quantum algorithm in a given architecture is one of the central problems in this computational paradigm. In this article, we take a tutorial approach in explaining the preparation of Dicke states (|D k n 〉) using concise realizations of partially defined unitary transformations. We show how […]