Academic literature on the topic 'Qubits simulation'

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Journal articles on the topic "Qubits simulation"

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Ivanyos, G., A. B. Nagy, and L. Ronyai. "Constructions for quantum computing with symmetrized gates." Quantum Information and Computation 8, no. 5 (May 2008): 411–29. http://dx.doi.org/10.26421/qic8.5-4.

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We investigate constructions for simulating quantum computers with a polynomial slowdown on ensembles composed of qubits on which symmetrized versions of one- and two-qubit gates can be performed. The simulation is based on taking Lie commutators of symmetrized Hamiltonians to extract Hamiltonians at desired local positions. During the simulation, only a part of the qubits can be used for storing information, the others are left unchanged by the commutators. We propose constructions for various symmetry groups where a pretty large fraction of the qubits can be used. As a few of the other qubits need to be set to one, our construction requires individual initialization of some of the qubits.
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Bluvstein, Dolev, Harry Levine, Giulia Semeghini, Tout T. Wang, Sepehr Ebadi, Marcin Kalinowski, Alexander Keesling, et al. "A quantum processor based on coherent transport of entangled atom arrays." Nature 604, no. 7906 (April 20, 2022): 451–56. http://dx.doi.org/10.1038/s41586-022-04592-6.

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AbstractThe ability to engineer parallel, programmable operations between desired qubits within a quantum processor is key for building scalable quantum information systems1,2. In most state-of-the-art approaches, qubits interact locally, constrained by the connectivity associated with their fixed spatial layout. Here we demonstrate a quantum processor with dynamic, non-local connectivity, in which entangled qubits are coherently transported in a highly parallel manner across two spatial dimensions, between layers of single- and two-qubit operations. Our approach makes use of neutral atom arrays trapped and transported by optical tweezers; hyperfine states are used for robust quantum information storage, and excitation into Rydberg states is used for entanglement generation3–5. We use this architecture to realize programmable generation of entangled graph states, such as cluster states and a seven-qubit Steane code state6,7. Furthermore, we shuttle entangled ancilla arrays to realize a surface code state with thirteen data and six ancillary qubits8 and a toric code state on a torus with sixteen data and eight ancillary qubits9. Finally, we use this architecture to realize a hybrid analogue–digital evolution2 and use it for measuring entanglement entropy in quantum simulations10–12, experimentally observing non-monotonic entanglement dynamics associated with quantum many-body scars13,14. Realizing a long-standing goal, these results provide a route towards scalable quantum processing and enable applications ranging from simulation to metrology.
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Essammouni, K., A. Chouikh, T. Said, and M. Bennai. "niSWAP and NTCP gates realized in a circuit QED system." International Journal of Geometric Methods in Modern Physics 14, no. 07 (March 7, 2017): 1750100. http://dx.doi.org/10.1142/s0219887817501006.

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Based on superconducting qubit coupled to a resonator driven by a strong microwave field, we propose a method to implement two quantum logic gates ([Formula: see text]SWAP and NTCP gates) of one qubit simultaneously controlling [Formula: see text] qubits selected from [Formula: see text] qubits in a circuit QED [Formula: see text] by introducing qubit–qubit interaction. The interaction between the qubits and the circuit QED can be achieved by tuning the gate voltage and the external flux. The operation times of the logic gates are much smaller than the decoherence time and dephasing time. Moreover, the numerical simulation under the influence of the gates operations shows that the scheme could be achieved efficiently with presently available techniques.
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Caraiman, Simona, and Vasile Manta. "Parallel Simulation of Quantum Search." International Journal of Computers Communications & Control 5, no. 5 (December 1, 2010): 634. http://dx.doi.org/10.15837/ijccc.2010.5.2219.

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Simulation of quantum computers using classical computers is a computationally hard problem, requiring a huge amount of operations and storage. Parallelization can alleviate this problem, allowing the simulation of more qubits at the same time or the same number of qubits to be simulated in less time. A promising approach is represented by executing these simulators in Grid systems that can provide access to high performance resources. In this paper we present a parallel implementation of the QC-lib quantum computer simulator deployed as a Grid service. Using a specific scheme for partitioning the terms describing quantum states and efficient parallelization of the general singe qubit operator and of the controlled operators, very good speed-ups were obtained for the simulation of the quantum search problem.
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Said, Taoufik, Abdelhaq Chouikh, Karima Essammouni, and Mohamed Bennai. "Realizing an N-two-qubit quantum logic gate in a cavity QED with nearest qubit--qubit interaction." Quantum Information and Computation 16, no. 5&6 (April 2016): 465–82. http://dx.doi.org/10.26421/qic16.5-6-4.

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We propose an effective way for realizing a three quantum logic gates (NTCP gate, NTCP-NOT gate and NTQ-NOT gate) of one qubit simultaneously controlling N target qubits based on the qubit-qubit interaction. We use the superconducting qubits in a cavity QED driven by a strong microwave field. In our scheme, the operation time of these gates is independent of the number N of qubits involved in the gate operation. These gates are insensitive to the initial state of the cavity QED and can be used to produce an analogous CNOT gate simultaneously acting on N qubits. The quantum phase gate can be realized in a time (nanosecond-scale) much smaller than decoherence time and dephasing time (microsecond-scale) in cavity QED. Numerical simulation under the influence of the gate operations shows that the scheme could be achieved efficiently within current state-of-the-art technology.
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Said, T., A. Chouikh, K. Essammouni, and M. Bennai. "Implementing N-quantum phase gate via circuit QED with qubit–qubit interaction." Modern Physics Letters B 30, no. 05 (February 20, 2016): 1650050. http://dx.doi.org/10.1142/s0217984916500500.

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We propose a method for realizing a quantum phase gate of one qubit simultaneously controlling [Formula: see text] target qubits based on the qubit–qubit interaction. We show how to implement the proposed gate with one transmon qubit simultaneously controlling [Formula: see text] transmon qubits in a circuit QED driven by a strong microwave field. In our scheme, the operation time of this phase gate is independent of the number [Formula: see text] of qubits. On the other hand, this gate can be realized in a time of nanosecond-scale much smaller than the decoherence time and dephasing time both being the time of microsecond-scale. Numerical simulation of the occupation probabilities of the second excited lever shows that the scheme could be achieved efficiently within current technology.
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Yan, Zhiguang, Yu-Ran Zhang, Ming Gong, Yulin Wu, Yarui Zheng, Shaowei Li, Can Wang, et al. "Strongly correlated quantum walks with a 12-qubit superconducting processor." Science 364, no. 6442 (May 2, 2019): 753–56. http://dx.doi.org/10.1126/science.aaw1611.

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Quantum walks are the quantum analogs of classical random walks, which allow for the simulation of large-scale quantum many-body systems and the realization of universal quantum computation without time-dependent control. We experimentally demonstrate quantum walks of one and two strongly correlated microwave photons in a one-dimensional array of 12 superconducting qubits with short-range interactions. First, in one-photon quantum walks, we observed the propagation of the density and correlation of the quasiparticle excitation of the superconducting qubit and quantum entanglement between qubit pairs. Second, when implementing two-photon quantum walks by exciting two superconducting qubits, we observed the fermionization of strongly interacting photons from the measured time-dependent long-range anticorrelations, representing the antibunching of photons with attractive interactions. The demonstration of quantum walks on a quantum processor, using superconducting qubits as artificial atoms and tomographic readout, paves the way to quantum simulation of many-body phenomena and universal quantum computation.
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Bashkirov, Evgeny K. "Entanglement of two superconducting qubits induced by a thermal noise of a cavity with Kerr medium taking into account the atomic coherence." Physics of Wave Processes and Radio Systems 25, no. 1 (March 29, 2022): 7–15. http://dx.doi.org/10.18469/1810-3189.2022.25.1.7-15.

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The system consisting of two identical artificial atoms (qubits), resonantly interacting with the mode of quantum field of an ideal microwave cavity in the presence of Kerr nonlinearity, is considered. For the considered model, an exact solution of the quantum Liouville equation for the full density matrix of the system two qubits + resonator field mode is obtained. To solve the quantum equation of evolution, the representation of dressed states, that is, the eigenfunctions of the Hamiltonian, was used. A complete set of dressed states of the considered model is found. With its help, the solution of the evolution equation was initially found for coherent initial states of qubits and Fock states of the field, that is, states with a certain number of photons in the resonator mode. Then, the above solution was generalized to the case of the thermal state of the resonator field. A reduced density matrix of two qubits is found by averaging over the field variables. The two-qubit density matrix is used to calculate the parameter of qubit entanglement in the analytical form. Concurrence was chosen as a quantitative criterion for qubit entanglement. A numerical simulation of the time dependence of the consistency of qubits for various parameters of the model and the initial states of qubits was carried out. The most interesting result seems to be that taking into account the initial coherence of qubits in the model with Kerr nonlinearity leads to a significant increase in the maximum degree of entanglement of qubits induced by the thermal field, even in the case of high intensities of the resonator field.
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Huang, Xing Kui. "The Construction and Simulation Analysis of Three-Qubit Hxx Chain Refrigerator Based on Quantum Entangled States." Applied Mechanics and Materials 380-384 (August 2013): 4849–55. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4849.

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Quantum entangled state theory is combined with quantum thermodynamics theory to build quantum entangled state heat engine. The basic nature of three-qubit Hxx chain, and all parameters of the orbit are analyzed. Energy model of quantum entangled state refrigerator in working process is taken as as a theoretical basis to construct three qubits Hxx chain refrigerator based on quantum entangled states. The working nature of the new quantum entangled state refrigerator under different field strength is studied. Compaired with two-qubit Hxxx chain refrigerator based on quantum entangled states and mapping analysis, the working efficiency of three qubits Hxx chain refrigerator based on quantum entangled states is much higher when the field strength is not zero and its working state is more stable.
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Bertoni, A., P. Bordone, R. Brunetti, C. Jacoboni, and S. Reggiani. "Numerical Simulation of Quantum Logic Gates Based on Quantum Wires." VLSI Design 13, no. 1-4 (January 1, 2001): 97–102. http://dx.doi.org/10.1155/2001/86126.

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A system based on frontier mesoscopic semiconductor technology, able to perform the basic quantum operations needed for quantum computation, is proposed. The elementary quantum bit (qubit) is defined as the state of an electron running along a couple of quantum wires coupled through a potential barrier with variable height and/ or width. A proper design of the system, together with the action of Coulomb interaction of two electrons representing two different qubits, allows the implementation of basic one-qubit and two-qubit quantum logic gates. Numerical simulations confirm the correctness of the hypothesis.
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Dissertations / Theses on the topic "Qubits simulation"

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CIRILLO, GIOVANNI AMEDEO. "Engineering quantum computing technologies: from compact modelling to applications." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2971119.

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Urbani, Camilla. "Stabilizer Codes for Quantum Error Correction and Synchronization." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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This thesis project aims to deepen the basic concepts of quantum mechanics with particular reference to quantum information theory and quantum error correction codes, fundamental for a correct reception of information. The relations between these codes and classical ones have been investigated, based upon their representation in terms of stabilizers and then developing a possible error detection code. It has also been examined a classical problem in communication systems, namely frame synchronization, discussing it in quantum communication systems.
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Janacek, Hugh Alexander. "Optical Bloch equations for simulating trapped-ion qubits." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:5f1ba38f-66e2-44d7-a6ab-8066c0cab094.

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This thesis describes work on numerical modelling of the 43Ca+ ion in a Paul trap using the optical Bloch equations. This is a challenging system to study, with many states involved in the internal dynamics. A major outcome is the development of a cooling scheme for the 146.09 gauss atomic clock transitions which makes use of a dark resonance. It is much more effective than methods that avoid coherent effects. The scheme is realised in experiment. Complicated fluorescence data is modelled very well, and predictions for the ion's motional temperature show good agreement with measured values. Data and fits for an ion that has been Doppler cooled below the Doppler limit are presented. I describe GLOBES, a set of routines that simulates an arbitrary ion in the presence of an arbitrary system of laser beams using the optical Bloch equations. Techniques used to efficiently calculate the steady state, analyse fluorescence scans and solve time-dependent problems for small and large times are discussed. A new routine SILVER IMPER that leapfrogs over the initial dynamics to model the approach to the steady state is introduced. Doppler cooling in 40Ca+ is analysed and two extensions made to the basic theory. The 'excursion method' of calculation takes account of the non-linear variation with velocity of the scattering rate. The 'dynamic method' allows for the fact that the ion may not be in equilibrium with the incident radiation during its oscillations, a necessity as the timescale of the external motion is of order the characteristic timescale of the internal motion for standard secular frequencies. This 'dynamic effect' is a general property of trapped ion systems and is also observed in a two-state system. A two-variable fluorescence scan taken from a four-laser, five-level system in 40Ca+ is analysed. Techniques to fit large data sets and automatically resolve resonant features are demonstrated. A general treatment of resonant behaviour in three, four and five level pump/probe systems is used to describe the data. This is verified by a second, tailor-made set of scans.
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Shary, Stephen. "Java Simulator of Qubits and Quantum-Mechanical Gates Using the Bloch Sphere Representation." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1298044339.

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Yang, Ping [Verfasser], and Ustinov A. [Akademischer Betreuer] V. "Analog quantum simulator for the Tavis-Cummings model with superconducting qubits / Ping Yang ; Betreuer: A. V. Ustinov." Karlsruhe : KIT-Bibliothek, 2018. http://d-nb.info/1172351783/34.

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Weiss, Stephan. "Nonequilibrium quantum transport and confinement effects in interacting nanoscale conductors." Aachen Shaker, 2008. http://d-nb.info/990088294/04.

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Karanjai, Angela. "Statistical Modelling of Quantum Data." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/22134.

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The work presented in this thesis considers statistical models of quantum statistics. It sets up a framework to analyse experimental data, which is independent of any particular theory, being careful to eliminate any bias towards the theory of quantum mechanics. This framework allows us to separate the discussion of quantum statistics, which are the predictions of quantum theory, from the theory of quantum mechanics enabling an evaluation of alternative models in reproducing the same statistics. The framework allows one to evaluate the non-classicality of a process or phenomenon, without relying on their definitions in quantum mechanics. The two main non-classical phenomenon analysed in this thesis are contextuality and the weak value. We provide completely statistical definitions for both, which is completely independent of quantum mechanics. The two are defined as statistical properties of experimental data. The presence of contextuality in the data for a set of experiments is shown to pose certain obstructions to the statistical modelling of the data, specifically it is shown to require the state of the system to be updated in a non-Markovian way. A statistical model of this type is presented as proof of existence of statistical models for contextual data. The construction of this model is used to o_er insight into the mechanisms required to construct statistical models for contextual data. Additionally an explicit connection is established between contextuality and classical simulability for any sub-theory of quantum mechanics. This connection is used to evaluate the contextuality found in the qubit-stabilizer sub-theory to calculate a lower bound for the minimum number of classical bits a model would require to simulate the statistics. The weak value was previously thought of an a quintessentially quantum phenomenon. We analyse the dynamics of the process that leads to the weak value using classical Hamiltonian mechanics. A statistical analysis of the experiment explains the physical objects associated with the real and imaginary parts of the weak value and its emergence as a result of post-selection. The weak value calculated using classical Hamiltonian dynamics matches the quantum predictions.
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Candoli, Davide. "Simulation of NMR/NQR observables and spin control for applications in Quantum Science." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Il mio progetto di tesi consiste nello sviluppo di un programma per la simulazione numerica di esperimenti di risonanza magnetica/di quadrupolo nucleare (NMR/NQR), con l’obiettivo di realizzare una connessione tra la teoria e le evidenze sperimentali: dopo aver ricostruito la dinamica degli spin nucleari prevista in base alla teoria, il software simula a partire da questa i risultati delle misure, presentandoli in una forma confrontabile con i dati ottenuti in laboratorio. L’intero lavoro è fondato su uno studio completo e approfondito della descrizione quantistica dei fenomeni di interesse, la quale è servita come modello su cui plasmare la struttura del programma. Le simulazioni eseguite sondano buona parte della fenomenologia studiata nei laboratori NMR, abbracciando un ampio spettro di configurazioni che comprende NMR ed NQR pure e reciprocamente perturbate. Il software è stato impiegato anche per la riproduzione delle tecniche sperimentali finalizzate all’implementazione di qubit e quantum gates in sistemi NQR, dimostrandosi uno strumento utile per la ricerca nell’ambito del controllo quantistico ed elaborazione dell’informazione quantistica. Questo lavoro di tesi è stato realizzato nell'ambito di un progetto di cooperazione internazionale dell'Università di Bologna in collaborazione con la Brown University, Providence (USA).
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Mershin, Andreas. "Tubulin in vitro, in vivo and in silico." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/1635.

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Tubulin, microtubules and associated proteins were studied theoretically, computationally and experimentally in vitro and in vivo in order to elucidate the possible role these play in cellular information processing and storage. Use of the electric dipole moment of tubulin as the basis for binary switches (biobits) in nanofabricated circuits was explored with surface plasmon resonance, refractometry and dielectric spectroscopy. The effects of burdening the microtubular cytoskeleton of olfactory associative memory neurons with excess microtubule associated protein TAU in Drosophila fruitflies were determined. To investigate whether tubulin may be used as the substrate for quantum computation as a bioqubit, suggestions for experimental detection of quantum coherence and entanglement among tubulin electric dipole moment states were developed.
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Yeh, Yen-Chen, and 葉彥辰. "Simulating Phase Qubit by Non-Hermitian Quantum Mechanics." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/07535124720857051744.

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碩士
國立交通大學
物理研究所
103
This study aims to demonstrate dephasing phenomenon in phase qubit which is perturbed by magnetic field . We model the phase qubit system with a cubic potential in Schr#westeur055#dinger equation and solve it by Non-Hermitian quantum mechanics (NHQM). Non-Hermitian quantum mechanics incorporate the physical meaning of metastable state. By using NHQM , we can simulate the physics of phase qubit thoroughly. At last , we reproduced dephasing phenomenon by adding 1/f noise as interaction term.
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Book chapters on the topic "Qubits simulation"

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Abramova, Olga P., and Andrii V. Abramov. "Qubits and Fractal Structures with Elements of the Cylindrical Type." In 13th Chaotic Modeling and Simulation International Conference, 15–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70795-8_2.

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Chen, Xiao-yu. "Simulating BB84 Protocol in Dephasing Qubit Channel." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 242–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11731-2_29.

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Abramova, Olga P., and Andrii V. Abramov. "Memory Cell Based on Qubit States and Its Control in a Model Fractal Coupled Structure." In 14th Chaotic Modeling and Simulation International Conference, 17–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96964-6_2.

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Benedetti, Claudia, Simone Cialdi, Matteo A. C. Rossi, Bassano Vacchini, Dario Tamascelli, Stefano Olivares, and Matteo G. A. Paris. "Quantum Simulation of Non-Markovian Qubit Dynamics by an All-Optical Setup." In Toward a Science Campus in Milan, 37–46. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01629-6_4.

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Criger, Ben, Daniel Park, and Jonathan Baugh. "Few-Qubit Magnetic Resonance Quantum Information Processors: Simulating Chemistry and Physics." In Advances in Chemical Physics, 193–228. Hoboken, New Jersey: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118742631.ch08.

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Debernardi, Alberto, and Marco Fanciulli. "A Robust and Fast Method to Compute Shallow States without Adjustable Parameters: Simulations for a Silicon-Based Qubit." In Topics in Applied Physics, 221–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-79365-6_11.

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Torrens, Francisco, and Gloria Castellano. "EPR Paradox, Quantum Decoherence, Qubits, Goals, and Opportunities in Quantum Simulation." In Theoretical Models and Experimental Approaches in Physical Chemistry, 319–36. Apple Academic Press, 2018. http://dx.doi.org/10.1201/b22324-15.

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Kurizki, Gershon, and Goren Gordon. "The Dawn of Quantum Information." In The Quantum Matrix, 258–70. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198787464.003.0015.

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Henry and Eve have finally tested their quantum computer (QC) with resounding success! It may enable much faster and better modelling of complex pharmaceutical designs, long-term weather forecasts or brain process simulations than classical computers. A 1,000-qubit QC can process in a single step 21000 possible superposition states: its speedup is exponential in the number of qubits. Yet this wondrous promise requires overcoming the enormous hurdle of decoherence, which is why progress towards a large-scale QC has been painstakingly slow. To their dismay, their QC is “expropriated for the quantum revolution” in order to share quantum information among all mankind and thus impose a collective entangled state of mind. They set out to foil this totalitarian plan and restore individuality by decohering the quantum information channel. The appendix to this chapter provide a flavor of QC capabilities through a quantum algorithm that can solve problems exponentially faster than classical computers.
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Garine, Harsha Vardhan, Atul Mishra, and Anubhav Agrawal. "Simulation of Bloch Sphere for a Single Qubit." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 117–31. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9183-3.ch008.

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The Bloch sphere is a generalisation of the complex number z with |z|2 = 1 being represented in the complex plane as a point on the unit circle. The goal of the research is to create a simulation that can be used to visualise a Bloch sphere of a single quantum bit, also known as a Qbit. QISKIT (developed by IBM) is an open-source lab for education in the realm of quantum computing, and is used to test and validate this simulator. This study made use of both quantitative and qualitative methods of investigation.
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Matsui, Nobuyuki, Haruhiko Nishimura, and Teijiro Isokawa. "Qubit Neural Network." In Complex-Valued Neural Networks, 325–51. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-214-5.ch013.

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Recently, quantum neural networks have been explored as one of the candidates for improving the computational efficiency of neural networks. In this chapter, after giving a brief review of quantum computing, the authors introduce our qubit neural network, which is a multi-layered neural network composed of quantum bit neurons. In this description, it is indispensable to use the complex-valued representation, which is based on the concept of quantum bit (qubit). By means of the simulations in solving the parity check problems as a bench mark examination, we show that the computational power of the qubit neural network is superior to that of the conventional complex-valued and real-valued neural networks. Furthermore, the authors explore its applications such as image processing and pattern recognition. Thus they clarify that this model outperforms the conventional neural networks.
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Conference papers on the topic "Qubits simulation"

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Zhou, Xiao-Qi. "Experimental simulation of boson sampling with photonic qubits." In The 7th International Multidisciplinary Conference on Optofluidics 2017. Basel, Switzerland: MDPI, 2017. http://dx.doi.org/10.3390/optofluidics2017-04574.

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Xu, Qian, Harald Putterman, Joseph K. Iverson, Kyungjoo Noh, Oskar J. Painter, Fernando G. S. L. Brandao, and Liang Jiang. "Engineering Kerr-cat qubits for hardware efficient quantum error correction." In Quantum Computing, Communication, and Simulation II, edited by Philip R. Hemmer and Alan L. Migdall. SPIE, 2022. http://dx.doi.org/10.1117/12.2614832.

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Pan, Jian-Wei. "Experimental quantum information processing with atoms and photons." In Workshop on Entanglement and Quantum Decoherence. Washington, D.C.: Optica Publishing Group, 2008. http://dx.doi.org/10.1364/weqd.2008.aps2.

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Quantum information science and atom optics are among the most active fields in modem physics. In recent years, many theoretical efforts have been made to combine these two fields. Recent experimental progresses [1-3] have shown the in-principle possibility to perform scalable quantum information processing (QIP) with linear optics and atomic ensembles [4]. One of our main activities is to use atomic qubits as quantum memory and exploit photonic qubits for information transfer and processing to achieve efficient linear optics QIP. On the one hand, utilizing the interaction between laser pulses and atomic ensembles we experimentally investigate the potentials of atomic ensembles in the gas phase to build quantum repeaters for longdistance quantum communication [5], that is, to develop a new technological solution for quantum repeaters making use of the effective qubit-type entanglement of two cold atomic ensembles by a projective measurement of individual photons by spontaneous Raman processes. On the other hand, building on our long experience in research on multi-photon entanglement, we are also working on a number of experiments in the field of QIP with particular emphasis on fault-tolerant quantum computation [6], photon-loss-tolerant quantum computation [7] and cluster-state based quantum simulation [8]. In future, by combining the techniques developed in the above quantum memory and multi-photon interference experiments, we will experimentally investigate the possibility to achieve quantum teleportation between photonic and atomic qubits, quantum teleportation between remote atomic qubits and efficient entanglement generation via classical feed-forward. The techniques that are being developed will lay the basis for future large-scale realizations of linear optical QIP with atoms and photons.
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Owyed, Saud, A. Abdel-Aty, Mohamed Mabrok, and Nordin Zakaria. "Mathematical Modeling and Simulation of 3-Qubits Quantum Annealing Processor." In the 2019 2nd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3343485.3343491.

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Müller, Tina, Matthew Anderson, Jan Huwer, Joanna Skiba-Szymanska, Andrey B. Krysa, Mark Stevenson, Jon Heffernan, Dave A. Ritchie, and Andrew J. Shields. "GHz-clocked teleportation of time-bin qubits with a telecom C-band quantum dot." In Quantum Computing, Communication, and Simulation, edited by Philip R. Hemmer and Alan L. Migdall. SPIE, 2021. http://dx.doi.org/10.1117/12.2578558.

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Huber, Florian, Jesse Amato-Grill, Alexei Bylinskii, Sergio H. Cantu, Ming-Guang Hu, Donggyu Kim, Alexander Lukin, Nate Gemelke, and Alexander Keesling. "Cloud-Accessible, Programmable Quantum Simulator Based on Two-Dimensional Neutral Atom Arrays." In Quantum 2.0. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/quantum.2022.qw3a.2.

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Neutral atom arrays recently emerged as one the leading platforms for large-scale quantum computing and simulations [1, 2]. These systems offer a variety of possible qubit encodings with long coherence times along with exceptional programmability and reconfigurability of the array geometry and qubit connectivity. In addition, strong, highly coherent coupling between the qubits can be achieved using Rydberg states of the atoms. QuEra provides a cloud-accessible, programmable 256-qubit quantum simulator based on a two-dimensional array of Rubidium-87 atoms in reconfigurable optical tweezers.
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Sansoni, Linda, Fabio Sciarrino, Paolo Mataloni, Andrea Crespi, Roberta Ramponi, and Roberto Osellame. "Integrated devices for quantum information and quantum simulation with polarization encoded qubits." In SPIE Photonics Europe, edited by Thomas Durt and Victor N. Zadkov. SPIE, 2012. http://dx.doi.org/10.1117/12.924811.

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8

Kaiser, Florian. "Nano-integrated color centers in SiC with robust spin-photon interfaces and access to nuclear spin qubits." In Quantum Computing, Communication, and Simulation II, edited by Philip R. Hemmer and Alan L. Migdall. SPIE, 2022. http://dx.doi.org/10.1117/12.2613744.

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Lu, Chao, Zhao Hu, Bei Xie, and Ning Zhang. "Quantum CFD Simulations for Heat Transfer Applications." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23915.

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Abstract In this paper, computational heat transfer (CHT) equations were solved using the state-of-art quantum computing (QC) technology. The CHT equations can be discretized into a linear equation set, which can be possibly solved by a QC system. The linear system can be characterized by Ax = b. The A matrix in this linear system is a Hermitian matrix. The linear system is then solved by using the HHL algorithm, which is a quantum algorithm to solve a linear system. The quantum circuit requires an Ancilla qubit, clock qubits, qubits for b and a classical bit to record the result. The process of the HHL algorithm can be described as follows. Firstly, the qubit for b is initialized into the phase as desire. Secondly, the quantum phase estimation (QPE) is used to determine the eigenvalues of A and the eigenvalues are stored in clock qubits. Thirdly, a Rotation gate is used to rotate the inversion of eigenvalues and information is passed to the Ancilla bit to do Pauli Y-rotation operation. Fourthly, revert the whole processes to untangle qubits and measure all of the qubits to output the final results for x. From the existing literature, a few 2 × 2 matrices were successfully solved with QC technology, proving the possibility of QC on linear systems [1]. In this paper, a quantum circuit is designed to solve a CHT problem. A simple 2 by 2 linear equation is modeled for the CHT problem and is solved by using the quantum computing. The result is compared with the analytical result. This result could initiate future studies on determining the quantum phase parameters for more complicated QC linear systems for CHT applications.
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Blokhina, Elena, Federico Bizzarri, Panagiotis Giounanlis, Dirk Leipold, and Angelo Brambilla. "Noisy Intermediate Scale Quantum Computers: on the Co-Simulation of Qubits and Control Electronics." In 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2020. http://dx.doi.org/10.1109/icecs49266.2020.9294837.

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Reports on the topic "Qubits simulation"

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Farhi, Edward, and Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, December 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.

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We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network’s predictor of the binary label of the input state. We show through classical simulation that parameters can be found that allow the QNN to learn to correctly distinguish the two data sets. We then discuss presenting the data as quantum superpositions of computational basis states corresponding to different label values. Here we show through simulation that learning is possible. We consider using our QNN to learn the label of a general quantum state. By example we show that this can be done. Our work is exploratory and relies on the classical simulation of small quantum systems. The QNN proposed here was designed with near-term quantum processors in mind. Therefore it will be possible to run this QNN on a near term gate model quantum computer where its power can be explored beyond what can be explored with simulation.
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