Journal articles: 'Computational physics|Physics|Condensed matter physics'

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Godwal, B. K. "Computational condensed matter physics." Bulletin of Materials Science 22, no. 5 (August 1999): 877–84. http://dx.doi.org/10.1007/bf02745548.

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Karney, Charles F. F. "Modern computational techniques in plasma physics." Physics of Plasmas 5, no. 5 (May 1998): 1632–35. http://dx.doi.org/10.1063/1.872831.

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McClintock, Peter V. E. "Experimental and Computational Techniques in Soft Condensed Matter Physics, edited by Jeffrey Olafsen." Contemporary Physics 52, no. 5 (September 2011): 486. http://dx.doi.org/10.1080/00107514.2011.580058.

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Smit, Berend. "Computational physics in petrochemical industry." Physica Scripta T66 (January 1, 1996): 80–84. http://dx.doi.org/10.1088/0031-8949/1996/t66/010.

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Schultz, D. R., P. S. Krstic, T. Minami, M. S. Pindzola, F. J. Robicheaux, J. P. Colgan, S. D. Loch, et al. "Computational atomic physics for plasma edge modeling." Contributions to Plasma Physics 44, no. 13 (April 2004): 247–51. http://dx.doi.org/10.1002/ctpp.200410036.

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BINDER, K. "LARGE-SCALE SIMULATIONS IN CONDENSED MATTER PHYSICS —THE NEED FOR A TERAFLOP COMPUTER." International Journal of Modern Physics C 03, no. 03 (June 1992): 565–81. http://dx.doi.org/10.1142/s0129183192000373.

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The introduction of vector processors {“supercomputers” with a performance in the range of 109 floating point operations (1 GFLOP) per second} has had an enormous impact on computational condensed matter physics. The possibility of a substantially enhanced performance by massively parallel processors (“teraflop” machines with 1012 floating point operations per second) will allow satisfactory treatment of a large range of important scientific problems which have to a great extent thus far escaped numerical resolution. The present paper describes only a few examples (out of a long list of interesting research problems!) for which the availability of “teraflops” will allow spectacular progress, i.e., the modelling of dense macromolecular systems and metallic alloys by molecular dynamics and Monte Carlo simulations.

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Probert, Matt. "Symmetry and Condensed Matter Physics – A Computational Approach, by M. El-Batanouny and F. Wooten." Contemporary Physics 51, no. 5 (September 2010): 457–58. http://dx.doi.org/10.1080/00107510903395937.

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Janatipour, Najmeh, Zabiollah Mahdavifar, Siamak Noorizadeh, and Fazel Shojaei. "Modifying the electronic and geometrical properties of mono/bi-layer graphite-like BC2N via alkali metal (Li, Na) adsorption and intercalation: computational approach." New Journal of Chemistry 43, no. 33 (2019): 13122–33. http://dx.doi.org/10.1039/c9nj02260k.

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Stephen, David T., Hendrik Poulsen Nautrup, Juani Bermejo-Vega, Jens Eisert, and Robert Raussendorf. "Subsystem symmetries, quantum cellular automata, and computational phases of quantum matter." Quantum 3 (May 20, 2019): 142. http://dx.doi.org/10.22331/q-2019-05-20-142.

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Quantum phases of matter are resources for notions of quantum computation. In this work, we establish a new link between concepts of quantum information theory and condensed matter physics by presenting a unified understanding of symmetry-protected topological (SPT) order protected by subsystem symmetries and its relation to measurement-based quantum computation (MBQC). The key unifying ingredient is the concept of quantum cellular automata (QCA) which we use to define subsystem symmetries acting on rigid lower-dimensional lines or fractals on a 2D lattice. Notably, both types of symmetries are treated equivalently in our framework. We show that states within a non-trivial SPT phase protected by these symmetries are indicated by the presence of the same QCA in a tensor network representation of the state, thereby characterizing the structure of entanglement that is uniformly present throughout these phases. By also formulating schemes of MBQC based on these QCA, we are able to prove that most of the phases we construct are computationally universal phases of matter, in which every state is a resource for universal MBQC. Interestingly, our approach allows us to construct computational phases which have practical advantages over previous examples, including a computational speedup. The significance of the approach stems from constructing novel computationally universal phases of matter and showcasing the power of tensor networks and quantum information theory in classifying subsystem SPT order.

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Pursky, O. I., T. V. Dubovyk, V. O. Babenko, V. F. Gamaliy, R. A. Rasulov, and R. P. Romanenko. "Computational method for studying the thermal conductivity of molecular crystals in the course of condensed matter physics." Journal of Physics: Conference Series 1840, no. 1 (March 1, 2021): 012015. http://dx.doi.org/10.1088/1742-6596/1840/1/012015.

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Seoane, Luís F. "Fate of Duplicated Neural Structures." Entropy 22, no. 9 (August 25, 2020): 928. http://dx.doi.org/10.3390/e22090928.

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Statistical physics determines the abundance of different arrangements of matter depending on cost-benefit balances. Its formalism and phenomenology percolate throughout biological processes and set limits to effective computation. Under specific conditions, self-replicating and computationally complex patterns become favored, yielding life, cognition, and Darwinian evolution. Neurons and neural circuits sit at a crossroads between statistical physics, computation, and (through their role in cognition) natural selection. Can we establish a statistical physics of neural circuits? Such theory would tell what kinds of brains to expect under set energetic, evolutionary, and computational conditions. With this big picture in mind, we focus on the fate of duplicated neural circuits. We look at examples from central nervous systems, with stress on computational thresholds that might prompt this redundancy. We also study a naive cost-benefit balance for duplicated circuits implementing complex phenotypes. From this, we derive phase diagrams and (phase-like) transitions between single and duplicated circuits, which constrain evolutionary paths to complex cognition. Back to the big picture, similar phase diagrams and transitions might constrain I/O and internal connectivity patterns of neural circuits at large. The formalism of statistical physics seems to be a natural framework for this worthy line of research.

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Wang, Meng, Ali Mani, and Stanislav Gordeyev. "Physics and Computation of Aero-Optics." Annual Review of Fluid Mechanics 44, no. 1 (January 21, 2012): 299–321. http://dx.doi.org/10.1146/annurev-fluid-120710-101152.

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Eastwood, J. W. "Computing in Plasma Physics (Report on the Eighth Conference on Computational Physics, Eibsee, 13–16 May 1986)." Nuclear Fusion 27, no. 1 (January 1, 1987): 181–84. http://dx.doi.org/10.1088/0029-5515/27/1/019.

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SUGAR, R. L. "NUMERICAL STUDIES OF MANY ELECTRON SYSTEMS." International Journal of Modern Physics C 01, no. 02n03 (September 1990): 215–32. http://dx.doi.org/10.1142/s0129183190000128.

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The numerical simulation of many electron systems in condensed matter physics is described. Numerical algorithms are discussed in detail, and results are presented from simulations of the Hubbard model in two and three dimensions.

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Giruzzi, G., J. Garcia, J. F. Artaud, V. Basiuk, J. Decker, F. Imbeaux, Y. Peysson, and M. Schneider. "Advances on modelling of ITER scenarios: physics and computational challenges." Plasma Physics and Controlled Fusion 53, no. 12 (November 14, 2011): 124010. http://dx.doi.org/10.1088/0741-3335/53/12/124010.

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Hasnip, Philip J., Keith Refson, Matt I. J. Probert, Jonathan R. Yates, Stewart J. Clark, and Chris J. Pickard. "Density functional theory in the solid state." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2011 (March 13, 2014): 20130270. http://dx.doi.org/10.1098/rsta.2013.0270.

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Density functional theory (DFT) has been used in many fields of the physical sciences, but none so successfully as in the solid state. From its origins in condensed matter physics, it has expanded into materials science, high-pressure physics and mineralogy, solid-state chemistry and more, powering entire computational subdisciplines. Modern DFT simulation codes can calculate a vast range of structural, chemical, optical, spectroscopic, elastic, vibrational and thermodynamic phenomena. The ability to predict structure–property relationships has revolutionized experimental fields, such as vibrational and solid-state NMR spectroscopy, where it is the primary method to analyse and interpret experimental spectra. In semiconductor physics, great progress has been made in the electronic structure of bulk and defect states despite the severe challenges presented by the description of excited states. Studies are no longer restricted to known crystallographic structures. DFT is increasingly used as an exploratory tool for materials discovery and computational experiments, culminating in ex nihilo crystal structure prediction, which addresses the long-standing difficult problem of how to predict crystal structure polymorphs from nothing but a specified chemical composition. We present an overview of the capabilities of solid-state DFT simulations in all of these topics, illustrated with recent examples using the CASTEP computer program.

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Rajman, Najwa Huda, Zahir Hariz Zahanis, Siti Munirah Mohd, Fadzidah Mohd Idris, Kamarudin Shafinah, Nor Raihan Zulkefly, Nurhidaya Mohamad Jan, Hatika Kaco, and Mohamad Faiz Zainuddin. "Investigation with Gifted Students in Learning Physics Concept Based on Cognitive Structure." Journal of Computational and Theoretical Nanoscience 17, no. 2 (February 1, 2020): 1143–46. http://dx.doi.org/10.1166/jctn.2020.8778.

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Physics concept is an understanding of natural occurrence. Physics is one of the natural science subjects that involves the study of matter and motion through space and time, along with related concepts. The concepts of physics explained everything involving the environment and human relation that happened in our daily life. Physics is one of the toughest subjects. Many students have difficulty to understand the subject properly. The factor of difficulty in learning physics concept come from many aspects, which is subject matter, materials for learning, the environment in class, and teaching style. Therefore, this study aims at investigating the main factor affecting the understanding of student performance in physics subject. This study has been done by given question paper that is designed based on taxonomy bloom. The question paper consists of 10 questions divided into three stages of taxonomy bloom, which are C1 (remembering), C2 (understanding), and C3 (applying). The test has been conducted among 17 years old students in Kolej PERMATA Insan. The result of the test has been analyzed. Based on the test that has been held, the results showed that most students did not reach the minimum mark of for the three stages in taxonomy bloom mainly stage C3 questions that apply the physics concept in daily life. The results from the test showed that physic is a tough subject to be learned.

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SOMMA, ROLANDO, HOWARD BARNUM, EMANUEL KNILL, GERARDO ORTIZ, and LORENZO VIOLA. "GENERALIZED ENTANGLEMENT AND QUANTUM PHASE TRANSITIONS." International Journal of Modern Physics B 20, no. 19 (July 30, 2006): 2760–69. http://dx.doi.org/10.1142/s0217979206035266.

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Quantum phase transitions in matter are characterized by qualitative changes in some correlation functions of the system, which are ultimately related to entanglement. In this work, we study the second-order quantum phase transitions present in models of relevance to condensed-matter physics by exploiting the notion of generalized entanglement [Barnum et al., Phys. Rev. A 68, 032308 (2003)]. In particular, we focus on the illustrative case of a one-dimensional spin-1/2 Ising model in the presence of a transverse magnetic field. Our approach leads to tools useful for distinguishing between the ordered and disordered phases in the case of broken-symmetry quantum phase transitions. Possible extensions to the study of other kinds of phase transitions as well as of the relationship between generalized entanglement and computational efficiency are also discussed.

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HASEGAWA, H., J. Z. MA, and T. TAKAMI. "QUANTUM LEVEL STATISTICS USEFUL FOR MESOSCOPIC PHYSICS." Surface Review and Letters 03, no. 01 (February 1996): 13–17. http://dx.doi.org/10.1142/s0218625x9600005x.

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We report on two results from our computational studies in quantum level statistics as a contribution to mesoscopic physics: (i) parametric motion of complex quantum levels and its dynamic treatment of second-derivative distribution for neighboring pairs (the so-called curvature distribution); (ii) intermediate statistics for long-range level correlation which exhibits a fractional power law, i.e., another manifestation of the fractional-power dependence like Sβ (0<β<1) familiar to Brody’s distribution, in the number variance and the Δ-statistics of Dyson-Mehta.

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Zhang, Linan, Ziwang Guo, Liqun Wu, and Chao Chen. "Computational modeling of fabrication of nanoneedle based on multi-physics analysis." Ferroelectrics 554, no. 1 (January 2, 2020): 104–9. http://dx.doi.org/10.1080/00150193.2019.1684769.

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Cohen, Bruce I. "Perspectives on Research in Computational Plasma Physics With Applications to Experiments." IEEE Transactions on Plasma Science 48, no. 4 (April 2020): 757–67. http://dx.doi.org/10.1109/tps.2019.2944331.

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Kaur, Gurleen, and Anju Bala. "A survey of prediction-based resource scheduling techniques for physics-based scientific applications." Modern Physics Letters B 32, no. 25 (September 5, 2018): 1850295. http://dx.doi.org/10.1142/s0217984918502950.

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The state-of-the-art physics alliances have augmented various opportunities to solve complex real-world problems. These problems require both multi-disciplinary expertise as well as large-scale computational experiments. Therefore, the physics community needs a flexible platform which can handle computational challenges such as volume of data, platform heterogeneity, application complexity, etc. Cloud computing provides an incredible amount of resources for scientific users on-demand, thus, it has become a potential platform for executing scientific applications. To manage the resources of Cloud efficiently, it is required to explore the resource prediction and scheduling techniques for scientific applications which can be deployed on Cloud. This paper discusses an extensive analysis of scientific applications, resource predictions and scheduling techniques for Cloud computing environment. Further, the trend of resource prediction-based scheduling and the existing techniques have also been studied. This paper would be helpful for the readers to explore the significance of resource prediction-based scheduling techniques for physics-based scientific applications along with the associated challenges.

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Phipps, Claude. "Laser Plasma Physics: Forces and the Nonlinearity Principle." Laser and Particle Beams 19, no. 2 (April 2001): 317. http://dx.doi.org/10.1017/s0263034601002221.

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This is a Landau/Lifschitz-class book. It is a critically important reference work for the whole field of high intensity and/or high plasma density laser-plasma interactions for years to come. It covers everything from single particles to dense fluids, from computational physics to the practical results in fusion, accelerators, you name it. It contains excellent and crystal-clear treatments of the theory of electrodynamics, laser-driven hydrodynamics, the Lorentz force, complex refractive index, and relativistic effects in plasmas. Although “the swamp of plasma physics” is mostly a classical place, Hora clearly indicates where quantum effects must be considered.

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Xu, Ziyang, Lijuan Gao, Pengyu Chen, and Li-Tang Yan. "Diffusive transport of nanoscale objects through cell membranes: a computational perspective." Soft Matter 16, no. 16 (2020): 3869–81. http://dx.doi.org/10.1039/c9sm02338k.

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Clarifying the diffusion dynamics of nanoscale objects with cell membrane is critical for revealing fundamental physics in biological systems. This perspective highlights the advances in computational and theoretical aspects of this emerging field.

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CAI, Q. D., and J. Z. WU. "UNIFORMLY HIGH-ORDER PDE SOLVERS BY RECOVERING THE LOST BOUNDARY PHYSICS." Modern Physics Letters B 19, no. 28n29 (December 20, 2005): 1467–70. http://dx.doi.org/10.1142/s0217984905009675.

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In numerically solving a physical problem governed by partial differential equations with proper boundary condition, central-kind difference schemes can yield high-order accuracy in the interior of the computational domain. But near the boundary the stencil structure is limited to only upwind-kind schemes. This has led to a reduction of the accuracy that in turn pollutes the entire interior solution as a long-standing critical obstacle in developing high-order accuracy numerical PDE solvers. The root of this difficulty lies in the ignorance of the use of (discrete) PDE at boundary, which is essentially an ignorance of the key role of the boundary physics in the determination of the solution. In this paper we recover the boundary physics by applying the original PDE all the way to the boundary along with the original boundary condition, which can yield uniformly high-order discretisation.

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Zhou, Sisi, Zi-Wen Liu, and Liang Jiang. "New perspectives on covariant quantum error correction." Quantum 5 (August 9, 2021): 521. http://dx.doi.org/10.22331/q-2021-08-09-521.

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Covariant codes are quantum codes such that a symmetry transformation on the logical system could be realized by a symmetry transformation on the physical system, usually with limited capability of performing quantum error correction (an important case being the Eastin–Knill theorem). The need for understanding the limits of covariant quantum error correction arises in various realms of physics including fault-tolerant quantum computation, condensed matter physics and quantum gravity. Here, we explore covariant quantum error correction with respect to continuous symmetries from the perspectives of quantum metrology and quantum resource theory, establishing solid connections between these formerly disparate fields. We prove new and powerful lower bounds on the infidelity of covariant quantum error correction, which not only extend the scope of previous no-go results but also provide a substantial improvement over existing bounds. Explicit lower bounds are derived for both erasure and depolarizing noises. We also present a type of covariant codes which nearly saturates these lower bounds.

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Plotnitsky, Arkady. "“Dark Materials to Create More Worlds“: On Causality in Classical Physics, Quantum Physics, and Nanophysics." Journal of Computational and Theoretical Nanoscience 8, no. 6 (June 1, 2011): 983–97. http://dx.doi.org/10.1166/jctn.2011.1778.

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Pandit, Sapna, Ram Jiwari, Karan Bedi, and Mehmet Emir Koksal. "Haar wavelets operational matrix based algorithm for computational modelling of hyperbolic type wave equations." Engineering Computations 34, no. 8 (November 6, 2017): 2793–814. http://dx.doi.org/10.1108/ec-10-2016-0364.

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Purpose The purpose of this study is to develop an algorithm for approximate solutions of nonlinear hyperbolic partial differential equations. Design/methodology/approach In this paper, an algorithm based on the Haar wavelets operational matrix for computational modelling of nonlinear hyperbolic type wave equations has been developed. These types of equations describe a variety of physical models in nonlinear optics, relativistic quantum mechanics, solitons and condensed matter physics, interaction of solitons in collision-less plasma and solid-state physics, etc. The algorithm reduces the equations into a system of algebraic equations and then the system is solved by the Gauss-elimination procedure. Some well-known hyperbolic-type wave problems are considered as numerical problems to check the accuracy and efficiency of the proposed algorithm. The numerical results are shown in figures and Linf, RMS and L2 error forms. Findings The developed algorithm is used to find the computational modelling of nonlinear hyperbolic-type wave equations. The algorithm is well suited for some well-known wave equations. Originality/value This paper extends the idea of one dimensional Haar wavelets algorithms (Jiwari, 2015, 2012; Pandit et al., 2015; Kumar and Pandit, 2014, 2015) for two-dimensional hyperbolic problems and the idea of this algorithm is quite different from the idea for elliptic problems (Lepik, 2011; Shi et al., 2012). Second, the algorithm and error analysis are new for two-dimensional hyperbolic-type problems.

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Dykman, M. I., and P. M. Platzman. "Quantum computing with electrons floating on liquid helium." Quantum Information and Computation 1, Special (December 2001): 102–7. http://dx.doi.org/10.26421/qic1.s-10.

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Electrons on a helium surface form a quasi two-dimensional system which displays the highest mobility reached in condensed matter physics. We propose to use this system as a set of interacting quantum bits. We will briefly describe the system and discuss how the qubits can be addressed and manipulated. The working frequency of the proposed quantum computer is ~ 1GHz. Careful analysis shows that the relaxation rate can be at least 5 orders of magnitude smaller, for low temperatures.

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Levko, Dmitry, Rochan R. Upadhyay, Anand Karpatne, Douglas Breden, Kenta Suzuki, Victor Topalian, Chandrasekhar Shukla, and Laxminarayan L. Raja. "VizGrain: a new computational tool for particle simulations of reactive plasma discharges and rarefied flow physics." Plasma Sources Science and Technology 30, no. 5 (May 1, 2021): 055012. http://dx.doi.org/10.1088/1361-6595/abf47b.

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RODRIGUES, B. O., L. A. C. P. DA MOTA, and L. G. S. DUARTE. "NUMERICAL CALCULATION WITH ARBITRARY PRECISION." International Journal of Modern Physics E 16, no. 09 (October 2007): 3045–48. http://dx.doi.org/10.1142/s0218301307009014.

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The vast use of computers on scientific numerical computation makes the awareness of the limited precision that these machines are able to provide us an essential matter. A limited and insufficient precision allied to the truncation and rounding errors may induce the user to incorrect interpretation of his or her answer. In this work, we have developed a computational package to minimize this kind of error by offering arbitrary precision numbers and calculation. This is very important in Physics where we can work with numbers too small and too big simultaneously.

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Morimae, Tomoyuki, Vedran Dunjko, and Elham Kashefi. "Ground state blind quantum computation on AKLT state." Quantum Information and Computation 15, no. 3&4 (March 2015): 200–234. http://dx.doi.org/10.26421/qic15.3-4-2.

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The blind quantum computing protocols (BQC) enable a classical client with limited quantum technology to delegate a computation to the quantum server(s) in such a way that the privacy of the computation is preserved. Here we present a new scheme for BQC that uses the concept of the measurement based quantum computing with the novel resource state of Affleck-Kennedy-Lieb-Tasaki (AKLT) chains leading to more robust computation. AKLT states are physically motivated resource as they are gapped ground states of a physically natural Hamiltonian in condensed matter physics. Our BQC protocol can enjoy the advantages of AKLT resource states (in a multiserver setup), such as the cooling preparation of the resource state, the energy-gap protection of the quantum computation. It also provides a simple and efficient preparation of the resource state in linear optics with biphotons.

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Ivanov, M. S., and S. F. Gimelshein. "COMPUTATIONAL HYPERSONIC RAREFIED FLOWS." Annual Review of Fluid Mechanics 30, no. 1 (January 1998): 469–505. http://dx.doi.org/10.1146/annurev.fluid.30.1.469.

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VELARDE, MANUEL G. "PHYSICS EDUCATION: A SURVEY OF PROBLEMS AND POSSIBLE SOLUTIONS." International Journal of Modern Physics C 04, no. 02 (April 1993): 435–43. http://dx.doi.org/10.1142/s0129183193000471.

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TSUCHIYA, Taku. "Ab Initio Computation Study for Earth and Planetary Physics." Review of High Pressure Science and Technology 23, no. 2 (2013): 103–12. http://dx.doi.org/10.4131/jshpreview.23.103.

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TAO, JIANMIN, JOHN P. PERDEW, and ADRIENN RUZSINSZKY. "LONG-RANGE VAN DER WAALS INTERACTION." International Journal of Modern Physics B 27, no. 18 (July 10, 2013): 1330011. http://dx.doi.org/10.1142/s0217979213300119.

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Van der Waals interaction is an elusive many-body effect arising from instantaneous charge fluctuations. Fundamental understanding of this effect plays an important role in computational chemistry, physics and materials science. In this article, recent advances in the evaluation of van der Waals coefficients, in particular the higher-order ones, are reviewed.

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DEHGHAN, MEHDI, JALIL MANAFIAN, and ABBAS SAADATMANDI. "ANALYTICAL TREATMENT OF SOME PARTIAL DIFFERENTIAL EQUATIONS ARISING IN MATHEMATICAL PHYSICS BY USING THEExp-FUNCTION METHOD." International Journal of Modern Physics B 25, no. 22 (September 10, 2011): 2965–81. http://dx.doi.org/10.1142/s021797921110148x.

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The Exp -function method with the aid of symbolic computational system can be used to obtain the generalized solitary solutions and periodic solutions for nonlinear evolution equations arising in mathematical physics. In this paper, we study the analytic treatment of the Zakharov–Kuznetsov (ZK) equation, the modified ZK equation, and the generalized forms of these equations. Exact solutions with solitons and periodic structures are obtained.

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Montessori, A., A. Tiribocchi, F. Bonaccorso, M. Lauricella, and S. Succi. "Lattice Boltzmann simulations capture the multiscale physics of soft flowing crystals." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2175 (June 22, 2020): 20190406. http://dx.doi.org/10.1098/rsta.2019.0406.

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The study of the underlying physics of soft flowing materials depends heavily on numerical simulations, due to the complex structure of the governing equations reflecting the competition of concurrent mechanisms acting at widely disparate scales in space and time. A full-scale computational modelling remains a formidable challenge since it amounts to simultaneously handling six or more spatial decades in space and twice as many in time. Coarse-grained methods often provide a viable strategy to significantly mitigate this issue, through the implementation of mesoscale supramolecular forces designed to capture the essential physics at a fraction of the computational cost of a full-detail description. Here, we review some recent advances in the design of a lattice Boltzmann mesoscale approach for soft flowing materials, inclusive of near-contact interactions (NCIs) between dynamic interfaces, as they occur in high packing-fraction soft flowing crystals. The method proves capable of capturing several aspects of the rheology of soft flowing crystals, namely, (i) a 3/2 power-law dependence of the dispersed phase flow rate on the applied pressure gradient, (ii) the structural transition between an ex-two and ex-one (bamboo) configurations with the associated drop of the flow rate, (iii) the onset of interfacial waves once NCI is sufficiently intense. This article is part of the theme issue ‘Fluid dynamics, soft matter and complex systems: recent results and new methods’.

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METWALLY, NASSER, M. ABDEL-ATY, and M. SEBAWE ABDALLA. "CONTROLLING THE QUANTUM COMPUTATIONAL SPEED." International Journal of Modern Physics B 22, no. 24 (September 30, 2008): 4143–51. http://dx.doi.org/10.1142/s0217979208049029.

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The speed of quantum computation is investigated through the time evolution of the speed of the orthogonality. The external field components for classical treatment besides the detuning and the coupling parameters for quantum treatment play important roles on the computational speed. It has been shown that the number of photons has no significant effect on the speed of computation. However, it is very sensitive to the variation in both detuning and the interaction coupling parameters.

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Montgomery, David C. "Paul M. Bellan (2006) Fundamentals of plasma physics." Theoretical and Computational Fluid Dynamics 21, no. 1 (October 5, 2006): 79–80. http://dx.doi.org/10.1007/s00162-006-0038-6.

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Pawar, Suraj, Omer San, Burak Aksoylu, Adil Rasheed, and Trond Kvamsdal. "Physics guided machine learning using simplified theories." Physics of Fluids 33, no. 1 (January 1, 2021): 011701. http://dx.doi.org/10.1063/5.0038929.

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Baker, A. J. "On mathematics of physics of fluids maturation." Physics of Fluids 33, no. 8 (August 2021): 081301. http://dx.doi.org/10.1063/5.0057306.

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Srivastava, Anurag. "Selected Peer-Reviewed Articles from International Workshop/Conference on Computational Condensed Matter Physics and Materials Science (IWCCMP-2014), Gwalior, India, 25–30 November, 2014." Advanced Science Letters 21, no. 9 (September 1, 2015): 2675–76. http://dx.doi.org/10.1166/asl.2015.6330.

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L�wdin, Per-Olov. "International journal of quantum chemistry?a journal devoted to quantum theory and computations in chemistry, condensed matter physics, and biology." International Journal of Quantum Chemistry 44, S19 (March 14, 1992): v—vi. http://dx.doi.org/10.1002/qua.560440702.

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Löwdin, Per-Olov. "International Journal of Quantum Chemistry-a journal devoted to Quantum theory and computations in chemistry, condensed matter physics, and biology." International Journal of Quantum Chemistry 56, no. 1 (October 5, 1995): 1–2. http://dx.doi.org/10.1002/qua.560560102.

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L�wdin, Per-Olov. "International Journal of Quantum Chemistry?a journal devoted to quantum theory and computations in chemistry, condensed matter physics, and biology." International Journal of Quantum Chemistry 58, no. 1 (1996): 1–2. http://dx.doi.org/10.1002/qua.560580102.

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Morley, P. D., and D. J. Buettner. "Dark matter in the local group of galaxies." International Journal of Modern Physics D 26, no. 07 (January 19, 2017): 1750069. http://dx.doi.org/10.1142/s0218271817500699.

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Abstract:

We describe the neutrino flavor ([Formula: see text], [Formula: see text], [Formula: see text]) masses as [Formula: see text] [Formula: see text] with [Formula: see text] and probably [Formula: see text]. The quantity [Formula: see text] is the degenerate neutrino mass. Because neutrino flavor is not a quantum number, this degenerate mass appears in the neutrino equation-of-state [P. D. Morley and D. J. Buettner, Int. J. Mod. Phys. D (2014), doi:10.1142/s0218271815500042.]. We apply a Monte Carlo computational physics technique to the Local Group (LG) of galaxies to determine an approximate location for a Dark Matter embedding Condensed Neutrino Object (CNO) [P. D. Morley and D. J. Buettner, Int. J. Mod. Phys. D (2016), doi:10.1142/s0218271816500899.]. The calculation is based on the rotational properties of the only spiral galaxies within the LG: M31, M33 and the Milky Way. CNOs could be the Dark Matter everyone is looking for and we estimate the CNO embedding the LG to have a mass 5.17[Formula: see text] M[Formula: see text] and a radius 1.316 Mpc, with the estimated value of [Formula: see text] eV[Formula: see text]/c2. The up-coming KATRIN experiment [https://www.katrin.kit.edu.] will either be the definitive result or eliminate condensed neutrinos as a Dark Matter candidate.

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Reardon, Jonathan, Joseph A. Schetz, and K. Todd Lowe. "Computational Modeling of Total-Temperature Probes." Journal of Thermophysics and Heat Transfer 31, no. 3 (July 2017): 609–20. http://dx.doi.org/10.2514/1.t4991.

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Boris, J. P. "New Directions in Computational Fluid Dynamics." Annual Review of Fluid Mechanics 21, no. 1 (January 1989): 345–85. http://dx.doi.org/10.1146/annurev.fl.21.010189.002021.

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Rubin, S. G., and J. C. Tannehill. "Parabolized/Reduced Navier-Stokes Computational Techniques." Annual Review of Fluid Mechanics 24, no. 1 (January 1992): 117–44. http://dx.doi.org/10.1146/annurev.fl.24.010192.001001.

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Journal articles on the topic 'Computational physics|Physics|Condensed matter physics'

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