Quantum simulators have the potential to bring unprecedented capabilities in areas such as the discovery of new materials and drugs. Engineering precise and programmable interaction graphs between qubits or spins forms the backbone of simulator applications. The trapped ion system is unique in that the interaction graph between qubits can be programmed, in principle arbitrarily. In the context of quantum many-body physics simulation, a programmable interaction graph will allow us to investigate a wide range of spin models relevant to condensed matter systems and high energy physics. In this project we investigate the feasibility of creating an arbitrary qubit-qubit interaction graph and experimentally characterize the interactions. The robustness of such graphs, including errors from experimental parameters, will be analyzed in collaboration with Roger Melko’s group. We will combine theoretical ideas from quantum information processing and many-body physics, numerical optimization and machine learning techniques, and experimental optical and atomic physics techniques.
This project will enhance the capability of trapped ion quantum simulators significantly beyond the state-of-the-art and will identify a set of concrete many-body physics problems that can be realistically simulated. Altogether these contributions will form an enabling step towards the scalability of a quantum processor.
Quantum Simulations of Fundamental Interactions
Summary To address questions in modern physics such as “what is the structure of matter inside neutron stars?” we need better computational methods to evaluate the interplay of fundamental forces between elementary particles. To-date the response to such questions rests on numerical computer simulations that are inherently limited. In this project, we develop new theoretical […]
April 18, 2019
Quantum Computational Resources in the Presence of Symmetry
Summary Fault-tolerance is essential to the performance of quantum technologies, but known schemes are extremely resource intensive. Thus, improving existing schemes or inventing new schemes is of central importance. This joint project is based on the realization that fault-tolerance schemes make use of symmetries in fundamental ways, and that studying the problem of fault tolerance […]
March 13, 2019
Zero-Dimensional Quantum Materials for the Next Generation of Highly-Selective Chemical Sensors
Summary Heavy metals are a major public health concern and their on-site detection in water supplies is not well served by existing lab techniques. We develop a new multi-modal platform comprising functionalized quantum dots of two-dimensional materials (2D-QDs) for the sensing of four highly-toxic heavy metal pollutants (arsenic, cadmium, lead and mercury). The zero-dimensional […]
March 11, 2019
Tuning Spin-Exchange Interactions in Low-Dimensional Metal Halide Perovskites: A New Class of Semiconductor Quantum Materials
Summary Leakage current in electronic components is one of the limiting factors for the performance of conventional computers which use charges and currents as physical information carriers. Spintronics offers an alternative by using electron spin for information transfer, processing and storage, enabling the design of non-volatile computer memory and more energy-efficient electronic devices. In this […]
October 1, 2019