Attacking Quantum Models with AI: When Can Truncated Neural Networks Deliver Results?

Submitted by bedfordb on

Physicists are exploring the opportunities that arise when the power of machine learning—a widely used approach in AI research—is brought to bear on quantum physics. Quantum physics often needs a description that approximately describes many interacting quantum particles. Two researchers at JQI presented new mathematical tools that will help researchers use machine learning to get such approximations and have identified new opportunities in quantum research where machine learning can be applied.

Controlling quantum ergodicity in molecules large and small: From C60 to ultracold alkali dimers

Submitted by mbritton on

Quantum ergodicity refers to the remarkable ability of quantum systems to explore their entire state space allowed by symmetry. Mechanisms for violating ergodicity are of fundamental interest in statistical and molecular physics and can offer novel insights into decoherence phenomena in complex molecular qubits.  I will discuss the recent experimental observation of ergodicity breaking in rapidly rotating C60 fullerene molecules as a function of rotational angular momentum [1].

QCVV: Making Quantum Computers Less Broken

Submitted by mbritton on

Abstract: Quantum computing hardware capabilities have grown tremendously over the past decade, as evidenced by demonstrations of both quantum advantage and error-corrected logical qubits.  These breakthroughs have been driven, in part, by advances in quantum characterization, verification, and validation (QCVV).  I will discuss how QCVV provides a hardware-agnostic framework for assessing the performance of quantum computers; I will describe in detail how specific QCVV protocols (such as gate set tomography and robust phase estimation) have been used to characterize and sig

Quantum Circuits for Chiral Topological Order

Submitted by mbritton on

Quantum simulation stands as an important application of quantum computing, offering insights into quantum many-body systems that are beyond the reach of classical computational methods. For many quantum simulation applications, accurate initial state preparation is typically the first step for subsequent computational processes. This dissertation specifically focuses on state preparation procedures for quantum states with chiral topological order, states that are notable for their robust edge modes and topological properties.

Electron-Photon Exchange-Correlation Functional in the Weak and Strong Light–Matter Coupling Regimes

Submitted by mbritton on

The intersection of quantum electrodynamics (QED) and density-functional theory (DFT) has opened up exciting opportunities in controlling quantum matter through light-matter coupling. This frontier, however, is beset with computational challenges, especially in the weak and strong coupling regimes. Building upon previous research, we present the results of nonperturbative QED functional in the long-wavelength limit, centered solely on the matter Hilbert space.

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