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Articoli di riviste sul tema "Quantum electronics"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 9 giugno 2025

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1

Mukhammadova, Dilafruz Ahmadovna. "The Role Of Quantum Electronics In Alternative Energy." American Journal of Applied sciences 03, no. 01 (January 30, 2021): 69–78. http://dx.doi.org/10.37547/tajas/volume03issue01-12.

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The article deals with Quantum electronics, as a field of physics that studies methods of amplification and generation of electromagnetic radiation based on the phenomenon of stimulated radiation in nonequilibrium quantum systems, as well as the properties of amplifiers and generators obtained in this way and their application, a description of the structure of the most important lasers is given, physical foundations of quantum electronics, which are reduced primarily to the application of Einstein's theory of radiation to thermodynamically nonequilibrium systems with discrete energy levels. The article is intended for undergraduates of the Department of Physics, Radio Engineering, who have interests in the field of research and applications of laser radiation, and is aimed at giving them the minimum necessary for that initial information on quantum electronics.

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Zwanenburg, Floris A., Andrew S. Dzurak, Andrea Morello, Michelle Y. Simmons, Lloyd C. L. Hollenberg, Gerhard Klimeck, Sven Rogge, Susan N. Coppersmith, and Mark A. Eriksson. "Silicon quantum electronics." Reviews of Modern Physics 85, no. 3 (July 10, 2013): 961–1019. http://dx.doi.org/10.1103/revmodphys.85.961.

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3

SAKAKI, H. "Quantum Microstructures and Quantum Wave Electronics." Nihon Kessho Gakkaishi 33, no. 3 (1991): 107–18. http://dx.doi.org/10.5940/jcrsj.33.107.

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4

Guo, Cheng, Jin Lin, Lian-Chen Han, Na Li, Li-Hua Sun, Fu-Tian Liang, Dong-Dong Li, et al. "Low-latency readout electronics for dynamic superconducting quantum computing." AIP Advances 12, no. 4 (April 1, 2022): 045024. http://dx.doi.org/10.1063/5.0088879.

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Dynamic quantum computing can support quantum error correction circuits to build a large general-purpose quantum computer, which requires electronic instruments to perform the closed-loop operation of readout, processing, and control within 1% of the qubit coherence time. In this paper, we present low-latency readout electronics for dynamic superconducting quantum computing. The readout electronics use a low-latency analog-to-digital converter to capture analog signals, a field-programmable gate array (FPGA) to process digital signals, and the general I/O resources of the FPGA to forward the readout results. Running an algorithm based on the design of multichannel parallelism and single instruction multiple data on an FPGA, the readout electronics achieve a readout latency of 40 ns from the last sample input to the readout valid output. The feedback data link for cross-instrument communication shows a communication latency of 48 ns when 16 bits of data are transmitted over a 2 m-length cable using a homologous clock to drive the transceiver. With codeword-based triggering mechanisms, readout electronics can be used in dynamic superconducting quantum computing.

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Kharchenko, Sergey B. "APPLICATION OF QUANTUM DOTS IN LED AND SOLAR ELECTRONICS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 9/7, no. 150 (2024): 35–43. http://dx.doi.org/10.36871/ek.up.p.r.2024.09.07.005.

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This article discusses the prospects for using quantum dots in LED and solar electronics. Quantum dots have unique optical and electronic properties that make them a promising material for improving the efficiency, stability, and color rendering of LEDs, as well as for increasing the energy conversion efficiency of solar cells. Current advances in the synthesis and application of quantum dots, the main challenges faced by researchers, and possible solutions are discussed. Examples of successful prototypes and commercial devices based on quantum dots are given. Prospects for further development of this technology and its potential impact on the electronics market are also analyzed.

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6

Kumar, Yogendra. "High-Temperature Superconductivity is the Quantum Leap in Electronics." International Journal of Science and Research (IJSR) 10, no. 6 (June 27, 2021): 854–62. https://doi.org/10.21275/sr21606211315.

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7

Liu, Mengxia, Nuri Yazdani, Maksym Yarema, Maximilian Jansen, Vanessa Wood, and Edward H. Sargent. "Colloidal quantum dot electronics." Nature Electronics 4, no. 8 (August 2021): 548–58. http://dx.doi.org/10.1038/s41928-021-00632-7.

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8

Taichenachev, Alexey V. "Department of Quantum Electronics." Siberian Journal of Physics 1, no. 1 (2006): 83–84. http://dx.doi.org/10.54238/1818-7994-2006-1-1-83-84.

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9

Sinclair, B. D. "Lasers and quantum electronics." Physics Bulletin 37, no. 10 (October 1986): 412. http://dx.doi.org/10.1088/0031-9112/37/10/013.

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10

Dragoman, M., and D. Dragoman. "Graphene-based quantum electronics." Progress in Quantum Electronics 33, no. 6 (November 2009): 165–214. http://dx.doi.org/10.1016/j.pquantelec.2009.08.001.

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11

Rost, Jan-Michael. "Tubes for quantum electronics." Nature Photonics 4, no. 2 (February 2010): 74–75. http://dx.doi.org/10.1038/nphoton.2009.279.

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12

Miller, A., and I. White. "Optical and quantum electronics." Optical and Quantum Electronics 34, no. 5-6 (May 2002): 621–26. http://dx.doi.org/10.1007/bf02892621.

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13

Zapol'skiĭ, A. K. "News in quantum electronics." Soviet Journal of Quantum Electronics 22, no. 9 (September 30, 1992): 873–74. http://dx.doi.org/10.1070/qe1992v022n09abeh003621.

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14

Borgarino, Mattia, and Alessandro Badiali. "Quantum Gates for Electronics Engineers." Electronics 12, no. 22 (November 15, 2023): 4664. http://dx.doi.org/10.3390/electronics12224664.

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The design of a solid-state quantum processor is nowadays a hot research topic in microelectronics. Like the logic gates in a classical processor, quantum gates serve as the fundamental building blocks for quantum processors. The main goal of the present paper is to deduce the matrix of the main one- and two-qubit quantum gates from the Schrödinger equation. The mathematical formalism is kept as comfortable as possible for electronics engineers. This paper does not cover topics such as dissipations, state density, coherence, and state purity. In a similar manner, this paper also deals with the quantum nature of a quantum processor by leveraging the concept of a finite-state machine, which is a background notion for any electronics engineer.

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15

Simone, Giuseppina. "Will Quantum Topology Redesign Semiconductor Technology?" Nanomaterials 15, no. 9 (April 28, 2025): 671. https://doi.org/10.3390/nano15090671.

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Semiconductors underpin modern technology, enabling applications from power electronics and photovoltaics to communications and medical diagnostics. However, the industry faces pressing challenges, including shortages of critical raw materials and the unsustainable nature of conventional fabrication processes. Recent developments in quantum computing and topological quantum materials offer a transformative path forward. In particular, materials exhibiting non-Hermitian physics and topological protection, such as topological insulators and superconductors, enable robust, energy-efficient electronic states. These states are resilient to disorder and local perturbations, positioning them as ideal candidates for next-generation quantum devices. Non-Hermitian systems, which break traditional Hermitian constraints, have revealed phenomena like the skin effect, wherein eigenstates accumulate at boundaries, violating bulk-boundary correspondence. This effect has recently been observed in semiconductor-based quantum Hall devices, marking a significant milestone in condensed matter physics. By integrating these non-Hermitian topological principles into semiconductor technology, researchers can unlock new functionalities for fault-tolerant quantum computing, low-power electronics, and ultra-sensitive sensing platforms. This convergence of topology, quantum physics, and semiconductor engineering may redefine the future of electronic and photonic devices.

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16

Tang, Haijun, Irfan Ahmed, Pargorn Puttapirat, Tianhao Wu, Yuwei lan, Yanpeng Zhang, and Enling Li. "Investigation of multi-bunching by generating multi-order fluorescence of NV center in diamond." Physical Chemistry Chemical Physics 20, no. 8 (2018): 5721–25. http://dx.doi.org/10.1039/c7cp08005k.

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17

Hinken, J. H., V. Kose, Harold Weinstock, Martin Nisenoff, and Robert L. Fagaly. "Superconductor Electronics: Fundamentals and Microwave Applications; Superconducting Quantum Electronics; Superconducting Electronics." Physics Today 44, no. 2 (February 1991): 92–94. http://dx.doi.org/10.1063/1.2809995.

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18

Cuoco, M., and A. Di Bernardo. "Materials challenges for SrRuO₃: From conventional to quantum electronics." APL Materials 10, no. 9 (September 1, 2022): 090902. http://dx.doi.org/10.1063/5.0100912.

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The need for faster and more miniaturized electronics is challenging scientists to develop novel forms of electronics based on quantum degrees of freedom different from electron charge. In this fast-developing field, often referred to as quantum electronics, the metal-oxide perovskite SrRuO3 can play an important role thanks to its diverse physical properties, which have been intensively investigated, mostly for conventional electronics. In addition to being chemically stable, easy to fabricate with high quality and to grow epitaxially onto many oxides—these are all desirable properties also for conventional electronics—SrRuO3 has interesting properties for quantum electronics like itinerant ferromagnetism and metallic behavior, strong correlation between magnetic anisotropy and spin–orbit coupling, strain-tunable magnetization, and anomalous Hall and Berry effects. In this Perspective, after describing the main phenomena emerging from the interplay between spin, orbital, lattice, and topological quantum degrees of freedom in SrRuO3, we discuss the challenges still open to achieve control over these phenomena. We then provide our perspectives on the most promising applications of SrRuO3 for devices for conventional and quantum electronics. We suggest new device configurations and discuss the materials challenges for their realization. For conventional electronics, we single out applications where SrRuO3 devices can bring competitive advantages over existing ones. For quantum electronics, we propose devices that can help gain a deeper understanding of quantum effects in SrRuO3 to exploit them for quantum technologies. We finally give an outlook about properties of SrRuO3 still waiting for discovery and applications that may stem from them.

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19

Borgarino, Mattia, and Alessandro Badiali. "Demystifying Quantum Gate Fidelity for Electronics Engineers." Applied Sciences 15, no. 5 (March 2, 2025): 2675. https://doi.org/10.3390/app15052675.

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The implementation of quantum gates by means of microwave cryo-RFICs controlling qubits is a promising path toward scalable quantum processors. Quantum gate fidelity quantifies how well an actual quantum gate produces a quantum state close to the desired ideal one. Regrettably, the literature usually reports on quantum gate fidelity in a highly theoretical way, making it hard for RFIC designers to understand. This paper explains quantum gate fidelity by moving from Shannon’s concept of fidelity and proposing a detailed mathematical proof of a valuable integral formulation of quantum gate fidelity. Shannon’s information theory and the simple mathematics adopted for the proof are both expected to be in the background of electronics engineers. By using Shannon’s fidelity, this paper rationalizes the integral formulation of quantum gate fidelity. Because of the simple mathematics adopted, this paper also demystifies to electronics engineers how this integral formulation can be reduced to a more practical algebraic product matrix. This paper makes evident the practical utility of this matrix formulation by applying it to the specific examples of one- and two-qubit quantum gates. Moreover, this paper also compares mixed states, entanglement fidelity, and the error rate’s upper bound.

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20

Wang, Haomin, Hui Shan Wang, Chuanxu Ma, Lingxiu Chen, Chengxin Jiang, Chen Chen, Xiaoming Xie, An-Ping Li, and Xinran Wang. "Graphene nanoribbons for quantum electronics." Nature Reviews Physics 3, no. 12 (September 28, 2021): 791–802. http://dx.doi.org/10.1038/s42254-021-00370-x.

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21

Devoret, Michel. "New era for quantum electronics." Physics World 14, no. 6 (June 2001): 27–28. http://dx.doi.org/10.1088/2058-7058/14/6/25.

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Boyd, Robert W., Michael G. Raymer, and Alexander A. Manenkov. "Fifty years of quantum electronics." Journal of Modern Optics 52, no. 12 (August 15, 2005): 1635. http://dx.doi.org/10.1080/09500340500164856.

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23

Townes *, Charles H. "Early history of quantum electronics." Journal of Modern Optics 52, no. 12 (August 15, 2005): 1637–45. http://dx.doi.org/10.1080/09500340500164930.

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24

Knight, Peter L. "Thirteenth National Quantum Electronics Conference." Journal of Modern Optics 45, no. 6 (June 1, 1998): 1097. http://dx.doi.org/10.1080/095003498151221.

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25

Schubert, Max, Bernd Wilhelmi, and Lorenzo M. Narducci. "Nonlinear Optics and Quantum Electronics." Physics Today 41, no. 2 (February 1988): 80–82. http://dx.doi.org/10.1063/1.2811321.

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26

Teich, M. C., and B. E. A. Saleh. "Branching processes in quantum electronics." IEEE Journal of Selected Topics in Quantum Electronics 6, no. 6 (November 2000): 1450–57. http://dx.doi.org/10.1109/2944.902200.

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27

Ke, San-Huang, Weitao Yang, and Harold U. Baranger. "Quantum-Interference-Controlled Molecular Electronics." Nano Letters 8, no. 10 (October 8, 2008): 3257–61. http://dx.doi.org/10.1021/nl8016175.

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28

Barnett, S. M. "Nonlinear optics and quantum electronics." Optics & Laser Technology 19, no. 4 (August 1987): 218–20. http://dx.doi.org/10.1016/0030-3992(87)90074-0.

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29

Knight, Peter. "Nonlinear Optics and Quantum Electronics." Journal of Modern Optics 34, no. 4 (April 1987): 482. http://dx.doi.org/10.1080/09500348714550481.

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30

Ducloy, M. "1996 EPS Quantum Electronics Prize." Europhysics News 26, no. 6 (1995): 135. http://dx.doi.org/10.1051/epn/19952606135b.

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31

Sohn, Lydia L. "A quantum leap for electronics." Nature 394, no. 6689 (July 1998): 131–32. http://dx.doi.org/10.1038/28058.

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32

Aseev, Aleksander Leonidovich, Alexander Vasilevich Latyshev, and Anatoliy Vasilevich Dvurechenskii. "Semiconductor Nanostructures for Modern Electronics." Solid State Phenomena 310 (September 2020): 65–80. http://dx.doi.org/10.4028/www.scientific.net/ssp.310.65.

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Modern electronics is based on semiconductor nanostructures in practically all main parts: from microprocessor circuits and memory elements to high frequency and light-emitting devices, sensors and photovoltaic cells. Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) with ultimately low gate length in the order of tens of nanometers and less is nowadays one of the basic elements of microprocessors and modern electron memory chips. Principally new physical peculiarities of semiconductor nanostructures are related to quantum effects like tunneling of charge carriers, controlled changing of energy band structure, quantization of energy spectrum of a charge carrier and a pronounced spin-related phenomena. Superposition of quantum states and formation of entangled states of photons offers new opportunities for the realization of quantum bits, development of nanoscale systems for quantum cryptography and quantum computing. Advanced growth techniques such as molecular beam epitaxy and chemical vapour epitaxy, atomic layer deposition as well as optical, electron and probe nanolithography for nanostructure fabrication have been widely used. Nanostructure characterization is performed using nanometer resolution tools including high-resolution, reflection and scanning electron microscopy as well as scanning tunneling and atomic force microscopy. Quantum properties of semiconductor nanostructures have been evaluated from precise electrical and optical measurements. Modern concepts of various semiconductor devices in electronics and photonics including single-photon emitters, memory elements, photodetectors and highly sensitive biosensors are developed very intensively. The perspectives of nanostructured materials for the creation of a new generation of universal memory and neuromorphic computing elements are under lively discussion. This paper is devoted to a brief description of current achievements in the investigation and modeling of single-electron and single-photon phenomena in semiconductor nanostructures, as well as in the fabrication of a new generation of elements for micro-, nano, optoelectronics and quantum devices.

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Weinbub, Josef, and Robert Kosik. "Computational perspective on recent advances in quantum electronics: from electron quantum optics to nanoelectronic devices and systems." Journal of Physics: Condensed Matter 34, no. 16 (February 22, 2022): 163001. http://dx.doi.org/10.1088/1361-648x/ac49c6.

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Abstract Quantum electronics has significantly evolved over the last decades. Where initially the clear focus was on light–matter interactions, nowadays approaches based on the electron’s wave nature have solidified themselves as additional focus areas. This development is largely driven by continuous advances in electron quantum optics, electron based quantum information processing, electronic materials, and nanoelectronic devices and systems. The pace of research in all of these areas is astonishing and is accompanied by substantial theoretical and experimental advancements. What is particularly exciting is the fact that the computational methods, together with broadly available large-scale computing resources, have matured to such a degree so as to be essential enabling technologies themselves. These methods allow to predict, analyze, and design not only individual physical processes but also entire devices and systems, which would otherwise be very challenging or sometimes even out of reach with conventional experimental capabilities. This review is thus a testament to the increasingly towering importance of computational methods for advancing the expanding field of quantum electronics. To that end, computational aspects of a representative selection of recent research in quantum electronics are highlighted where a major focus is on the electron’s wave nature. By categorizing the research into concrete technological applications, researchers and engineers will be able to use this review as a source for inspiration regarding problem-specific computational methods.

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34

Siu, Timothy C., Joshua Y. Wong, Matthew O. Hight, and Timothy A. Su. "Single-cluster electronics." Physical Chemistry Chemical Physics 23, no. 16 (2021): 9643–59. http://dx.doi.org/10.1039/d1cp00809a.

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This article reviews the scope of inorganic cluster compounds measured in single-molecule junctions. The article explores how the structure and bonding of inorganic clusters give rise to specific quantum transport phenomena in molecular junctions.

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35

Aflatouni, Firooz. "Advancements in Nanotechnology: Revolutionizing Medicine and Electronics." International Journal of Innovative Computer Science and IT Research 1, no. 01 (January 1, 2025): 1–9. https://doi.org/10.63665/ijicsitr.v1i01.03.

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Nanotechnology has become a groundbreaking advancement in modern science, significantly impacting the fields of medicine and electronics. By manipulating materials at the nanoscale (1–100 nm), researchers have developed innovative solutions that enhance precision, efficiency, and functionality in various applications. In medicine, nanoparticles are used for targeted drug delivery, reducing side effects and improving therapeutic outcomes. Nanorobots are being developed for minimally invasive surgeries and precise diagnostics. Furthermore, biosensors enable early disease detection, while regenerative medicine benefits from nanomaterials for tissue engineering and organ repair. In the electronics industry, nanoelectronics have led to the development of smaller, faster, and more efficient semiconductor devices. Advancements in quantum dots and carbon nanotubes have revolutionized the manufacturing of flexible electronics, high-speed processors, and energy-efficient nanochips. The integration of graphene and other nanomaterials has paved the way for the development of next- generation displays, wearable technology, and quantum computing. Despite these advancements, nanotechnology presents challenges, including toxicity concerns, environmental impact, ethical considerations, and regulatory hurdles. Ensuring the safe and sustainable use of nanotechnology is essential for its long-term success. This research paper presents an in-depth analysis of nanotechnology’s role in medicine and electronics, supported by data and two tables. Additionally, future trends such as AI integration, self-repairing nanomaterials, and advancements in quantum computing are explored. The findings highlight nanotechnology’s transformative potential while emphasizing the need for further research, responsible development, and regulatory frameworks to ensure ethical and safe applications in the future.

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HARRIS, J. S. "FROM BLOCH FUNCTIONS TO QUANTUM WELLS." International Journal of Modern Physics B 04, no. 06 (May 1990): 1149–79. http://dx.doi.org/10.1142/s0217979290000577.

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The early foundations for the electronics revolution were set in Professor Felix Bloch’s Ph. D. dissertation. The fundamental insights of this work are reviewed in light of both their impact on modern electronics, and particularly, their relevance for today’s quantum well engineered devices, and their potential to be tomorrow’s electronics foundation.

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Sharma, Pradosh Kumar, Thangam A, Somarouthu V.G.V.A Prasad, Vaishali Mangesh Dhede, and Shadab Ahmad. "OPTIMIZATION OF PROCESSING SPEEDS OF NANO ELECTRONICS CIRCUITS USING DIFFERENTIAL QUANTUM EVOLUTION FOR VLSI APPLICATIONS." ICTACT Journal on Microelectronics 9, no. 4 (January 1, 2024): 1658–62. https://doi.org/10.21917/ijme.2024.0287.

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In Very Large Scale Integration (VLSI) applications, the demand for enhanced processing speeds in nano-electronic circuits has become paramount for meeting the escalating performance expectations of modern electronic devices. With the continuous miniaturization of electronic components, nano-electronics has emerged as a pivotal technology, driving innovation in VLSI circuits. However, the shrinking feature sizes pose challenges related to power consumption and processing speeds. Current methodologies, such as traditional optimization algorithms, struggle to cope with the intricacies of nano-electronic circuits, necessitating the exploration of unconventional techniques. Conventional optimization methods often fall short in achieving optimal performance for nano-electronic circuits due to the complex interactions at the quantum level. The proposed method leverages Differential Quantum Evolution, a hybrid algorithm combining the strengths of quantum computing and evolutionary algorithms. This approach facilitates efficient exploration of the vast solution space inherent in nano-electronic circuits. By harnessing quantum principles, the algorithm aims to surpass the limitations of classical optimization techniques, providing unprecedented levels of efficiency and speed. The experiments showcase promising results, indicating a significant enhancement in processing speeds and power efficiency for nano-electronic circuits optimized using Differential Quantum Evolution. The achieved results demonstrate the feasibility and potential of this approach to address the existing challenges in VLSI applications.

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Kern, Michal, Khubaib Khan, Philipp Hengel, and Jens Anders. "Towards Scalable Quantum Sensors: Interface Electronics for Quantum Sensors." Foundations and Trends® in Integrated Circuits and Systems 3, no. 4 (2024): 218–72. https://doi.org/10.1561/3500000015.

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Gheisarnejad, Meysam, and Mohammad-Hassan Khooban. "Quantum Power Electronics: From Theory to Implementation." Inventions 8, no. 3 (May 16, 2023): 72. http://dx.doi.org/10.3390/inventions8030072.

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While impressive progress has been already achieved in wide-bandgap (WBG) semiconductors such as 4H-SiC and GaN technologies, the lack of intelligent methodologies to control the gate drivers has prevented exploitation of the maximum potential of semiconductor chips from obtaining the desired device operations. Thus, a potent ongoing trend is to design a fast gate driver switching scheme to upgrade the performance of electronic equipment at the system level. To address this issue, this work proposed a novel intelligent scheme for the control of gate driver switching using the concept of quantum computation in machine learning. In particular, the quantum principle was incorporated into deep reinforcement learning (DRL) to address the hardware limitations of conventional computers and the growing amount of data sets. Taking potential benefit of the quantum theory, the DRL algorithm influenced by quantum specifications (referred to as QDRL) not only ameliorates the performance of the native algorithm on traditional computers but also enhances the progress of relevant research fields like quantum computing and machine learning. To test the practicability and usefulness of QDRL, a dc/dc parallel boost converter feeding constant power loads (CPLs) was chosen as the case study, and several power hardware-in-the-loop (PHiL) experiments and comparative analysis were performed.

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Surendar Aravindhan. "Quantum Computing in Electronics: A New Era of Ultra-Fast Processing." Communications on Applied Nonlinear Analysis 32, no. 3 (October 18, 2024): 372–82. http://dx.doi.org/10.52783/cana.v32.1994.

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Quantum computing has been predicted to radically change the electronics industry, especially by implementing ultra-fast processing. Different from other types of computers, quantum computers use qubits instead of binary bits since they can be in multiple states at once because of superposition and entanglement. This creates the ability to perform various calculations simultaneously thus introducing exponential increases in the processing capability hence the efficiency of quantum computers. The applicability of the findings to electronics is extensive since it can be applied in cryptography, artificial intelligence, and analysis of other complex data. Also, it is necessary to point out the potential for improving efficiency in the use of energy in computing systems due to progress in the area of quantum computing and the possible extension of prospects for miniaturization and the search for new materials. Though there are serious problems that are still unsolved, including qubit stability and error correction, continuous research and development works have the potential to solve those issues, and thus bring about a revolutionary change in the electronics of the future. In this paper, an evaluation of quantum computing in electronics is presented, with a focus on the effects that will be brought about and the relevant fields. This paper aims at giving an evaluation of quantum computing in electronics the effects that will be realized and the fields that will be impacted.

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41

Northrop, D. C. "Book Review: Quantum Electronics (3rd Ed.)." International Journal of Electrical Engineering & Education 27, no. 1 (January 1990): 12. http://dx.doi.org/10.1177/002072099002700102.

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Krokhin, Oleg N. "The early years of quantum electronics." Physics-Uspekhi 47, no. 10 (October 31, 2004): 1045–48. http://dx.doi.org/10.1070/pu2004v047n10abeh001907.

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Seideman, Tamar. "Current-driven dynamics in quantum electronics." Journal of Modern Optics 50, no. 15-17 (October 2003): 2393–410. http://dx.doi.org/10.1080/09500340308233571.

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Manenkov, A. A. "EPR and development of quantum electronics." Journal of Physics: Conference Series 324 (October 21, 2011): 012001. http://dx.doi.org/10.1088/1742-6596/324/1/012001.

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Krokhin, Oleg N. "The early years of quantum electronics." Uspekhi Fizicheskih Nauk 174, no. 10 (2004): 1117. http://dx.doi.org/10.3367/ufnr.0174.200410h.1117.

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Nimtz, Gu¨nter, and Winfried Heitmann. "Superluminal photonic tunneling and quantum electronics." Progress in Quantum Electronics 21, no. 2 (January 1997): 81–108. http://dx.doi.org/10.1016/s0079-6727(97)84686-1.

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Grimes, Dale M. "Quantum theory and classical, nonlinear electronics." Physica D: Nonlinear Phenomena 20, no. 2-3 (June 1986): 285–302. http://dx.doi.org/10.1016/0167-2789(86)90034-5.

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Woerdman, J. P. "EQEC: 2nd European Quantum Electronics Conference." Europhysics News 20, no. 11-12 (1989): 170. http://dx.doi.org/10.1051/epn/19892011170.

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Zapol'skiĭ, A. K. "What is new in quantum electronics?" Soviet Journal of Quantum Electronics 22, no. 7 (July 31, 1992): 675–76. http://dx.doi.org/10.1070/qe1992v022n07abeh003569.

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