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Relevant bibliographies by topics / Threshold circuits, quantum many-valued gates

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Academic literature on the topic 'Threshold circuits, quantum many-valued gates'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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Journal articles on the topic "Threshold circuits, quantum many-valued gates"

1

Jagadeesan, Neeraja, B. Saman, M. Lingalugari, P. Gogna, and F. Jain. "Sequential Logic Circuits Using Spatial Wavefunction Switched (SWS) FETs." International Journal of High Speed Electronics and Systems 24, no. 03n04 (2015): 1550011. http://dx.doi.org/10.1142/s0129156415500111.

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The spatial wavefunction-switched field-effect transistor (SWSFET) is one of the promising quantum well devices that transfers electrons from one quantum well channel to the other channel based on the applied gate voltage. This eliminates the use of more transistors as we have coupled channels in the same device operating at different threshold voltages. This feature can be exploited in many digital integrated circuits thus reducing the count of transistors which translates to less die area. The simulations of basic sequential circuits like SR latch, D latch and flip flop are presented here us

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Dalzell, Alexander M., Aram W. Harrow, Dax Enshan Koh, and Rolando L. La Placa. "How many qubits are needed for quantum computational supremacy?" Quantum 4 (May 11, 2020): 264. http://dx.doi.org/10.22331/q-2020-05-11-264.

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Quantum computational supremacy arguments, which describe a way for a quantum computer to perform a task that cannot also be done by a classical computer, typically require some sort of computational assumption related to the limitations of classical computation. One common assumption is that the polynomial hierarchy (PH) does not collapse, a stronger version of the statement that P≠NP, which leads to the conclusion that any classical simulation of certain families of quantum circuits requires time scaling worse than any polynomial in the size of the circuits. However, the asymptotic nature of

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3

Jain, F., R. H. Gudlavalleti, R. Mays, et al. "Integration of Quantum Dot Gate (QDG) in SWS-FETs for Multi-Bit Logic and QD-NVRAMs for Distributed In-Memory Computing." International Journal of High Speed Electronics and Systems 28, no. 03n04 (2019): 1940018. http://dx.doi.org/10.1142/s0129156419400184.

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Compared to multi-valued logic (MVL) with conventional 2-state FETs with a single threshold, MVL computing architectures, based on 4-state SWS (Spatial wavefunction switched) and QDG (quantum dot gate)-FETs having multiple thresholds, results in reduced device count, higher clock (CLK) speed, and lower power consumption. We have experimentally shown multi-state characteristics in SWS-FETs as well as QDG-FETs. This paper presents a novel QDG-SWS-FET that: (1) functions as a multi-bit FET for efficient low-power logic, (2) can be configured as a quantum dot (QD) nonvolatile random access memory

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Parthasarathy, K. R., and Ritabrata Sengupta. "From particle counting to Gaussian tomography." Infinite Dimensional Analysis, Quantum Probability and Related Topics 18, no. 04 (2015): 1550023. http://dx.doi.org/10.1142/s021902571550023x.

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The momentum and position observables in an [Formula: see text]-mode boson Fock space [Formula: see text] have the whole real line [Formula: see text] as their spectrum. But the total number operator [Formula: see text] has a discrete spectrum [Formula: see text]. An [Formula: see text]-mode Gaussian state in [Formula: see text] is completely determined by the mean values of momentum and position observables and their covariance matrix which together constitute a family of [Formula: see text] real parameters. Starting with [Formula: see text] and its unitary conjugates by the Weyl displacement

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5

Bu, Kaifeng, Dax Enshan Koh, Lu Li, Qingxian Luo, and Yaobo Zhang. "Effects of quantum resources and noise on the statistical complexity of quantum circuits." Quantum Science and Technology, January 23, 2023. http://dx.doi.org/10.1088/2058-9565/acb56a.

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Abstract We investigate how the addition of quantum resources changes the statistical complexity of quantum circuits by utilizing the framework of quantum resource theories. Measures of statistical complexity that we consider include the Rademacher complexity and the Gaussian complexity, which are well-known measures in computational learning theory that quantify the richness of classes of real-valued functions. We derive bounds for the statistical complexities of quantum circuits that have limited access to certain resources and apply our results to two special cases: (1) stabilizer circuits

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6

Wang Ning, Wang Bao-Chuan, and Guo Guo-Ping. "New progress in silicon-based semiconductor quantum computation." Acta Physica Sinica, 2022, 0. http://dx.doi.org/10.7498/aps.71.20221900.

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Spin qubits in silicon-based semiconductor quantum dots have become one of the prominent candidates for realizing fault-tolerant quantum computing due to their long coherence time, good controllability, and compatibility with modern advanced integrated circuit manufacturing processes. In recent years, thanks to the remarkable progress made in silicon-based materials, structure of quantum dot and its fabrication process, and qubit manipulation technology, high-fidelity state preparation and readout, single- and two-qubit gates have been demonstrated for silicon spin qubits. The control fideliti

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Dissertations / Theses on the topic "Threshold circuits, quantum many-valued gates"

1

LEPORATI, ALBERTO OTTAVIO. "Threshold Circuits and Quantum Gates." Doctoral thesis, Università degli Studi di Milano, 2003. http://hdl.handle.net/10281/43616.

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2

Fiszer, Robert Adrian. "Synthesis of Irreversible Incompletely Specified Multi-Output Functions to Reversible EOSOPS Circuits with PSE Gates." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/2109.

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As quantum computers edge closer to viability, it becomes necessary to create logic synthesis and minimization algorithms that take into account the particular aspects of quantum computers that differentiate them from classical computers. Since quantum computers can be functionally described as reversible computers with superposition and entanglement, both advances in reversible synthesis and increased utilization of superposition and entanglement in quantum algorithms will increase the power of quantum computing. One necessary component of any practical quantum computer is the computation of

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