Hosted by: Deyu Lu

Google has recently revealed its 72-qubit quantum computer, named Bristlecone. Earlier, Intel released a 49-qubit chip called Tangle Lake, and IBM had built a quantum computer with 50 qubits. D-Wave also boasts about their quantum annealing systems with more than 2000 qubits. What's all the fuss about? Quantum computation is a novel way of information processing that allows, for certain classes of problems, exponential speedup over classical computation. Various models of quantum computation exist, such as the adiabatic, circuit, and measurement-based models, but operate very differently and may suit different physical realizations. I will give a pedagogical introduction to quantum computation. I will give you an idea why quantum computers seem powerful and yet it is not easy to design quantum algorithms that outperform classical ones. Such quantum algorithms do exist. But quantum computers can be used to simulate other quantum systems. I will also mention several recent examples of experiments on quantum simulations. This potentially opens up many potential applications of quantum computers, in addition to other quantum algorithmic pursuits. I will also discuss the idea of quantum error correction in order for the quantum computer to retain its coherence and resist errors. One of the characteristic trait of quantum mechanics is entanglement, and during the execution of a quantum algorithm, entanglement is generated. Entanglement itself can also enable tasks that are otherwise impossible. If time permits I will briefly discuss my own research on how to exploit entanglement as a resource for quantum computation. This talk does not assume much background and should be accessible to physicists, mathematician, chemists, computer scientists and engineers.

Hosted by: Mircea Cotlet

My research group exploits fluorescence imaging, in particular single molecule imaging, to study chemical and biological processes at the molecular (or nano-) and cellular levels with unprecedented spatiotemporal resolution and sensitivity. In this presentation I will discuss our recent findings towards studying DNA-based nanomaterials. Starting from fundamental photophysical and photochemical studies towards achieving fluorophore photostability.1 I will next describe how improvements on fluorophore photostability have paved the way to single molecule studies on the assembly, structure, morphology and robustness of DNA nanotubes.2 Emphasis will be placed on the enormous opportunities that single molecule imaging provides to interrogate and study supramolecular materials at the molecular level.