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1
Analog Quantum Machine Learning Models on Near-Term Devices.
Analog Quantum Machine Learning Models on Near-Term Devices.
Araiza Bravo, Oscar Rodrigo.Physics. | Harvard University. | 2024
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2
Out-of-Equilibrium Many-Body Dynamics in Atomic, Molecular and Optical Systems.
Out-of-Equilibrium Many-Body Dynamics in Atomic, Molecular and Optical Systems.
Ye, Bingtian.Physics. | Harvard University. | 2024
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3
On Low-Dimensional Black Holes in String Theory.
On Low-Dimensional Black Holes in String Theory.
Agia, Nicholas.Physics. | Harvard University. | 2024
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4
Exploring Topological Phases in Quantum Many-Body Physics.
Exploring Topological Phases in Quantum Many-Body Physics.
Teng, Yanting.Physics. | Harvard University. | 2024
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5
Dynamics of Entanglement With Applications to Quantum Metrology.
Dynamics of Entanglement With Applications to Quantum Metrology.
Block, Maxwell.Physics. | Harvard University. | 2024
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6
Nonlinear Frequency Generation in Periodically Poled Thin Film Lithium Niobate.
Nonlinear Frequency Generation in Periodically Poled Thin Film Lithium Niobate.
Ghosh, Soumya Shankar.Physics. | Harvard University. | 2024
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7
A New Spin on the Origin of Biological Homochirality.
A New Spin on the Origin of Biological Homochirality.
Ozturk, Sukru Furkan.Physics. | Harvard University. | 2024
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8
Quantum Criticality and Superconductivity in Systems Without Quasiparticles.
Quantum Criticality and Superconductivity in Systems Without Quasiparticles.
Li, Chenyuan.Physics. | Harvard University. | 2024
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9
Quantum Phases in Fermi Hubbard Systems With Tunable Frustration.
Quantum Phases in Fermi Hubbard Systems With Tunable Frustration.
Xu, Muqing.Physics. | Harvard University. | 2024
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10
Strong Lensing, Dark Perturbers, and Machine Learning.
Strong Lensing, Dark Perturbers, and Machine Learning.
Tsang, Arthur Leonard.Physics. | Harvard University. | 2024
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