Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Noisy Intermediate-Scale Quantum (NISQ)"”.
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Combinatorial optimization using quantum computing
This thesis explores quantum computing for combinatorial optimization through the Traveling Salesman Problem (TSP), which aims to find a minimum-cost Hamiltonian cycle visiting each city exactly once. Using Qiskit, we implement the Quantum Approximate Optimization Algorithm (QAOA) on both …
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EFFICIENT APPROACHES FOR QUBIT MAPPING ON NISQ COMPUTERS
<p>—Quantum computing is gaining momentum in revolutionizing the way we approach complex problem-solving. However, the practical implementation of quantum algorithms remains a significant challenge due to the error-prone and hardware limits of near-term quantum devices. For instance, physical qubit …
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Beyond qubits: Quantum optimization and lattice gauge theories in a qudit framework
Quantum computing holds the promise of tackling problems that are intractable for classical machines, yet the path from current noisy intermediate-scale quantum (NISQ) devices to fault-tolerant processors demands both better algorithms and a deeper understanding of how to exploit the full structure …
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Graph-based quantum neural networks for satellite image classification
… une nouvelle approche, bien que les dispositifs Noisy Intermediate-Scale Quantum (NISQ) actuels exigent une conception de circuits efficace et adaptée au matériel. Ce mémoire utilise des QNN pour la classification binaire d’images satellites multispec trales. Ces images capturent la réflectance …
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A FULL-STACK SOFTWARE ARCHITECTURE FOR THE CONTROL AND CALIBRATION OF QUANTUM HARDWARE
… the last 20 years, thanks to the development of quantum technologies, it has been possible to deploy quantum algorithms and applications that before were only accessible through simulation on real quantum hardware. The current devices available are often referred to as noisy intermediate-scale …
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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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Novel Ansätze for Stochastic Coupled Cluster
… to build upon a Configuration Interaction Quantum Monte Carlo (CIQMC) reference wavefunction for more rapid convergence. Two approximations to the mr-CCMC method are also defined by allowing partial relaxation of the reference wavefunction in the presence of contributions from the external …
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Exploring quantum geometry and quantum sensing with spin defects in diamond
… have witnessed rapid development in the field of quantum information science. Quantum technologies are promising to revolutionize many fields, ranging from fast computation and simulation to precise sensing and secure communication. While the performance of quantum devices in the current noisy …
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From TPU to QPU: Bridging Fidelity Gaps Across Next-Generation Computing Systems
… such as Tensor Processing Units (TPUs) and quantum computing systems utilizing Quantum Processing Units (QPUs) stand out as trans-formative technologies. Despite their potential, these systems share significant challenges related to hardware infidelity, manifested as error-induced …
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Evaluating Hybrid Quantum-Classical Models for Image Classification in the NISQ Era
… presents a systematic empirical evaluation of quantum machine learning performance under noisy intermediate-scale quantum (NISQ) era constraints. Through 670 controlled experiments, it evaluated quantum kernel support vector machines and variational quantum classifiers against classical …
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Quantum computational chemistry methods for early-stage quantum computers
One of the first practical applications of quantum computers is expected to be molecular modelling. Performing this task would profoundly affect areas such as chemistry, materials science and drug synthesis. Modelling of molecules, which are classically intractable, can be achieved with just over …