# Qubit

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### IEEE Organizations related to Qubit

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### Conferences related to Qubit

2020 57th ACM/ESDA/IEEE Design Automation Conference (DAC)

The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)

CLEO®/Europe will showcase the latest developments in a wide range of laser and photonics areas including laser source development, materials, ultrafast science, fibre optics, nonlinear optics, terahertz sources, high-field physics, optical telecommunications, nanophotonics, biophotonics.EQEC will feature the fundamentals of quantum optics, quantum information, atom optics, ultrafast optics, nonlinear phenomena and self-organization, plasmonics and metamaterials, fundamental nanooptics, theoretical and computational photonics.

2019 IEEE 19th International Conference on Nanotechnology (IEEE-NANO)

DNA Nanotechnology Micro-to-nano-scale Bridging Nanobiology and Nanomedicine Nanoelectronics Nanomanufacturing and Nanofabrication Nano Robotics and Automation Nanomaterials Nano-optics, Nano-optoelectronics and Nanophotonics Nanofluidics Nanomagnetics Nano/Molecular Heat Transfer & Energy Conversion Nanoscale Communication and Networks Nano/Molecular Sensors, Actuators and Systems

2019 IEEE Congress on Evolutionary Computation (CEC)

The annual IEEE Congress on Evolutionary Computation (CEC) is one of the leading events in the area of evolutionary computation, which brings together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Technical exchanges within the research community will encompass keynote lectures, regular and special sessions, tutorials, and competitions, as well as poster presentations. In addition, participants will be treated to a series of social functions, receptions, and networking events to establish new connections and foster everlasting friendship among fellow counterparts.¿IEEE CEC 2019 covers all topics in evolutionary computation from theory to applications, including but not limited to: Combinatorial and numerical optimization, Evolutionary data mining, Evolutionary multi- and many-objective optimization,Evolving neural networks and fuzzy systems, Industrial applications of EC

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

The principal goal of CCE is to provide a forum for the free discussion and interchange of research and development experiences and ideas in the fields of electrical-electronics engineering, computer science and automatic control.This conference also offers an opportunity for younger researchers and students to meet more experienced colleagues from differents parts of the world.

### Periodicals related to Qubit

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### Xplore Articles related to Qubit

2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO), 2018

Abst ract We pres ent the rece nt adva nces mad e tow ards the reali zati on of elect ron and hole qua ntu m bit devi ces on a Silicon-On-Insulator (SOI) technology. Such devices are obtained by slightly modifying our standard process flow for nanowire transistor fabrication. Recent developments on electrical control of the qubits are reviewed.

IEEE/OSA Journal of Optical Communications and Networking, 2019

Quantum key distribution (QKD) uses the laws of quantum mechanics to distribute secret keys with information-theoretic security. To realize QKD for secure communications among multiple distant users, fiber-based QKD networks can be deployed with today's available technologies. Incorporating QKD into existing wavelength-division multiplexing (WDM) network infrastructure provides a practical way to reduce the difficulty and cost of QKD networking. Nonetheless, ...

2018 IEEE International Electron Devices Meeting (IEDM), 2018

We present an overview of Majorana qubits based on one-dimensional semiconducting nanowires partially covered with a conventional superconductor. Majorana zero modes emerge at the wire ends when this hybrid system transitions from a conventional superconducting phase to a topological phase, in general occurring on increasing a magnetic field. For sufficiently long wires different Majoranas are fully independent and Majorana-based qubit ...

2017 Asia Communications and Photonics Conference (ACP), 2017

Secure keys in optical networks integrated with quantum key distribution (QKD) are virtualized to construct secure VONs (SVONs). The QKD-integrated optical network virtualization architecture and SVON embedding algorithm are proposed.

IEEE Transactions on Nanotechnology, None

Molecular nanomagnets can be considered as serious candidates for the definition of a scalable and reliable quantum computing technology: information is encoded on their spins and they ensure relaxation and decoherence times sufficiently long for the execution of tens of quantum operations. Among these devices, $\text{Cr}_7\text{Ni}$ supramolecular complexes are extremely of interest since they implement a universal set of quantum ...

### Educational Resources on Qubit

#### IEEE-USA E-Books

• Abst ract We pres ent the rece nt adva nces mad e tow ards the reali zati on of elect ron and hole qua ntu m bit devi ces on a Silicon-On-Insulator (SOI) technology. Such devices are obtained by slightly modifying our standard process flow for nanowire transistor fabrication. Recent developments on electrical control of the qubits are reviewed.

• Quantum key distribution (QKD) uses the laws of quantum mechanics to distribute secret keys with information-theoretic security. To realize QKD for secure communications among multiple distant users, fiber-based QKD networks can be deployed with today's available technologies. Incorporating QKD into existing wavelength-division multiplexing (WDM) network infrastructure provides a practical way to reduce the difficulty and cost of QKD networking. Nonetheless, the costs of QKD nodes and QKD links are still considered as the major barriers to long-distance QKD network deployment in practice. In this work, we study how to minimize the cost of deploying QKD-over-WDM backbone networks. We introduce a general architecture of QKD-over-WDM backbone networks. A novel cost-oriented model is defined to elaborate the cost- minimized problem, in which various QKD network components including QKD transceivers, QKD auxiliary equipment for QKD backbone nodes and trusted repeater nodes (TRNs), and QKD links are considered. The physical-layer parameters such as secret-key rate, physical distance, and the layout of TRNs are also incorporated in our defined model. We develop an integer linear programming (ILP) model and a novel cost-efficient QKD networking (CEQN) heuristic algorithm to address the cost-minimized problem. The extensive simulations indicate that our proposed approaches are effective in reducing the cost of deploying QKD-over-WDM backbone networks, where the designed CEQN algorithm is efficient to demonstrate similar to the ILP model. Finally, some open issues in future work are discussed, given that this work only presents an early highlevel analysis as opposed to a definitive detailed model.

• We present an overview of Majorana qubits based on one-dimensional semiconducting nanowires partially covered with a conventional superconductor. Majorana zero modes emerge at the wire ends when this hybrid system transitions from a conventional superconducting phase to a topological phase, in general occurring on increasing a magnetic field. For sufficiently long wires different Majoranas are fully independent and Majorana-based qubit states become topologically protected, which make them insensitive to local sources of noise. We present qubit designs, materials and device development and ongoing experimental efforts.

• Secure keys in optical networks integrated with quantum key distribution (QKD) are virtualized to construct secure VONs (SVONs). The QKD-integrated optical network virtualization architecture and SVON embedding algorithm are proposed.

• Molecular nanomagnets can be considered as serious candidates for the definition of a scalable and reliable quantum computing technology: information is encoded on their spins and they ensure relaxation and decoherence times sufficiently long for the execution of tens of quantum operations. Among these devices, $\text{Cr}_7\text{Ni}$ supramolecular complexes are extremely of interest since they implement a universal set of quantum gates, made of single-qubit gates and the two-qubit Controlled-phase gate. A model for analyzing $\text{Cr}_7\text{Ni}$ molecules and a potential quantum computer architecture are proposed: starting from the energy parameters required for spin manipulations, these systems have been proved to implement elementary quantum algorithms. Within this paper, two, three and four-qubit systems have been analyzed: the simulation of quantum operations and the analysis of dynamical non-idealities have been done in parallel. Our approach enables the definition of an operating point - in terms of magnetic driving fields and latency - in which the execution of elementary quantum algorithms is characterized by negligible errors. The proposed model has been entirely implemented in MATLAB, thus obtaining a software infrastructure for the analysis of $\text{Cr}_7\text{Ni}$ molecules that can be extended to quantum systems with analogous Hamiltonian and behavior.

• In this paper, a hybrid quantum genetic algorithm (QGA) is proposed to solve a new job shop scheduling problem. The improvement of quantum genetic algorithm is as follows: the coding of job shop scheduling problem (JSSP) is analyzed; a new quantum rotation gate is introduced to update quantum chromosome. Finally, the simulation examples show that the new quantum rotation gate improves the traditional genetic algorithm and provides powerful support for the scheduling job shop.

• In this paper, we propose a simple neural net that requires only O(n log_2k) number of qubits and O(nk) quantum gates: Here, N is the number of input parameters, and k is the number of weights applied to these parameters in the proposed neural net. We describe the network in terms of a quantum circuit, and then draw its equivalent classical neural net which involves O(k^n) nodes in the hidden layer. Then, we show that the network uses a periodic activation function of cosine values of the linear combinations of the inputs and weights. The backpropagation is described through the gradient descent, and then iris and breast cancer datasets are used for the simulations. The numerical results indicate the network can be used in machine learning problems and it may provide exponential speedup over the same structured classical neural net.

• Superconducting parametric amplifier, originally developed more than half a century ago, gained renewed interests in some experiments of superconducting quantum electronics about a decade ago, and now has become an indispensable tool in the field of superconducting quantum information processing. More recently, there are several proposals, where a parametric oscillator, which is a parametric amplifier pumped above the threshold, is used as a quantum bit and the network of the parametric oscillators solve some computational tasks. Here, we briefly introduce the research activity on the development of the superconducting parametric devices, including our results, with some historical backgrounds.

• Firefly algorithm is a new optimization technique based on swarm intelligence. It simulates the social behavior of fireflies. The search pattern of firefly algorithm is determined by the attractions among fireflies, whereby a less bright firefly moves toward a brighter firefly. In firefly algorithm, each firefly can be attracted by all other brighter fireflies in the population. But firefly algorithm is similar to other swarm intelligence algorithms; the performance of firefly algorithm is poor in high dimensional problems. It has low local search accuracy and is easy to fall into local extremum in some case. To overcome these problems, the quantum theory and mutation operation was used to improve firefly algorithm, a quantum-inspired hybrid firefly algorithm was proposed. In proposed algorithm, each quantum firefly can express two position of solution space, location update is implemented by quantum gate calculation, the mutation operation is used to jump out of the local extremum. Optimization Experiments are conducted using well-known benchmark functions. The results show that the proposed algorithm can efficiently improve the global search capability and the accuracy of solutions.

• A programmable quantum computer based on trapped ions interacting via magnetic gradient induced coupling (MAGIC) together with elements for scaling quantum computing - transport of ions and a novel trap for 2D ion arrays - are reported. © 2019 The Author(s).