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Showing 1 to 20 of 98 for “"Quantum Simulation"”.
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Phase Stabilised Superlattices for Quantum Simulation
… details the construction and operation of a new quantum simulation experiment for studying bosonic (and in the future fermionic) atoms in interesting triangular superlattice structures. We show that this machine can reliably and stably produce samples of ultracold potassium and rubidium in the …
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Quantum simulation of many-body dynamics
Quantum computers and simulators have the potential to improve our understanding of physics, material science, chemistry, and biology by providing a window into the dynamics of quantum many-body systems that appear in these fields. In addition to growing our knowledge of fundamental science, an …
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Quantum simulation in strongly correlated optical lattices
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-07-20T15:57:21Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 3 thesis.bib: 93320 bytes, checksum: cc18186d831e1c8c8f0b0d694dddb2fe (MD5) thesis.tex: 978906 bytes, checksum: …
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Quantum simulation with an optical kagome lattice
… and operation of an ultracold atom- based quantum simulator for studying the kagome lattice and the associated flat band. Despite a copious amount of theoretical effort to elucidate the physics of the kagome lattice, experimental kagome physics is still in its infancy. In the case of …
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Hamiltonian engineering for quantum sensing and quantum simulation
Quantum sensing and quantum simulation are emerging areas in quantum science and technology with broad applications. In this thesis, we explore Hamiltonian engineering techniques to build better quantum sensors and quantum simulators. In quantum sensing, advanced control techniques are required to …
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Algorithms for quantum simulation: design, analysis, implementation, and application
Simulating the Hamiltonian dynamics of quantum systems is one of the most promising applications of digital quantum computers. In this dissertation, we develop an understanding of quantum simulation algorithms concerning their design, analysis, implementation, and application. We implement three …
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Variational Algorithms and Resources for Near-Term Quantum Simulation
The difficultly of efficiently simulating quantum many-body systems was one of the first motivations for developing quantum computers and may also be one of the first applications to find practical computational advantage on real quantum hardware. With the relatively recent advent of publicly …
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Quantum Simulation of Many-body Systems with Superconducting Qubits
The study of interacting many-body quantum systems is central to the understanding of wide a range of physical phenomena in condensed-matter systems, quantum gravity, and quantum circuits. However, quantum systems are often hard to study analytically, and the classical computing resources required …
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Towards Error-Resilience in Quantum Simulation of Lattice Gauge Theories
Digital quantum simulators may provide a powerful platform for addressing salient questions in a wide variety of fields including particle and condense-matter physics. A particularly rewarding target is given by lattice gauge theories. The fundamental principle of gauge-invariance imposes local …
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Dihedral non-Abelian Lattice Gauge Theories: Physics and Quantum Simulation
… Model, and their Hamiltonian reformulation on a quantum simulator offers a promising route to regimes---real-time dynamics, finite baryon density---that lie beyond the reach of Euclidean Monte Carlo methods. With the ultimate goal of overcoming these shortcomings, over the last decade, quantum …
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Nonlinear Optics Quantum Computation and Quantum Simulation with Circuit-QED
Superconducting quantum circuits are a promising approach for realizations of large scale quantum information processing and quantum simulations. The Josephson junction, which forms the basis of superconducting circuits, is the only known nonlinear non-dissipative circuit element, and its inherent …
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QUANTUM SIMULATION OF BOSONIC SYSTEM AND APPLICATION OF MACHINE LEARNING
… we incorporate machine learning techniques in quantum information. We use machine learning to classify rational two-dimensional conformal field theories (CFTs). We first use the energy spectra of these minimal models to train a supervised learning algorithm. In contrast to conventional methods …
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Sensitivity to Imperfections of Analog Quantum Simulation on Atomic Qudits
As uncorrected quantum processors grow in sophistication, many are being used for analog quantum simulation (AQS) of novel physics beyond the capabilities of classical devices. However, without the guarantee of bounded errors achieved by digitizing the computation, we do not know when and how much …
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Machine Learning for Physics: from Symbolic Regression to Quantum Simulation
… to existing techniques in physics: 1) fast simulation, and 2) discovering new physics. To illustrate the potential of ML to advance physics by solving these problems, we develop a physics-optimized ML model for each of the problems identified above, respectively: 1) Q-Flow, a technique for …
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Designing Adaptive Ansätze in Quantum Simulation and Geometric Entangling Gates
Quantum Computation has attracted massive interest because of the recent technological advancement in both hardware and software suggesting the potential of quantum advantage. On the software side, hybrid classical-quantum algorithms are extensively studied as they can be implemented on the current …
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Quantum Simulation of Spin-1 Physics with Bosons in Optical Lattice
… many-body physics. A topic at the frontier of quantum simulation with Mott insulators is the study of quantum spin models, which are intimately connected to other modern research topics such as the study of quantum phase transitions and quantum thermalization. While quantum spin models are also …
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Adiabatic processes, noise, and stochastic algorithms for quantum computing and quantum simulation
… provide promising platforms for realising quantum computation and quantum simulation. This, in turn, opens new possibilities for developing useful quantum algorithms and explaining complex many-body physics. The advantages of quantum computation have been demonstrated in a small range of …
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Towards scalable solid-state spin qubits and quantum simulation of thermal states
… an astounding level of progress in the field of quantum computing. Rapidly-improving techniques for fabricating and controlling devices, increasingly refined theoretical models, and innovative quantum computing algorithms have allowed us to pass a number of important milestones on the path …
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Quantum simulation and out-of-equilibrium dynamics of quantum gases in optical cavities
… for the study of out-of-equilibrium dynamics and quantum simulation of many- body systems. In this thesis, we explore these two possibilities, motivated by current state-of-the-art atom-cavity experiments, uncovering novel phenomena and opening up new theoretical and experimental avenues into the …
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Unitary transformations on temporal modes using dispersive optics for Boson Sampling and quantum simulation
… significant practical advantages for linear quantum optics and Boson Sampling experiments. Passing identical, consecutively heralded photons through time-independent dispersion and measuring the output time of the photons is equivalent to a Boson Sampling experiment for which no efficient …
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