IQUIST Seminar: John Chiaverini, Lincoln Laboratory, Massachusetts Institute of Technology
- When:
- Tuesday, April 12, 2022 11:00 am - 11:50 am
- Where:
- Virtual
- Speaker:
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John Chiaverini, Lincoln Laboratory, Massachusetts Institute of Technology
John Chiaverini’s research is in the area of trapped-ion quantum information processing, focusing on overcoming challenges to practical quantum computing and sensing through utilization of integrated technologies and novel techniques and encodings. He earned a BS degree from Case Western Reserve University and a PhD degree from Stanford University, both in physics. He did postdoctoral work at the National Institute of Standards and Technology (NIST) in Boulder, CO, where he implemented quantum algorithms in systems of trapped ions, while also developing a novel surface-ion-trap technology. He then took a staff position in the Physics Division at Los Alamos National Laboratory, where he further explored ion-trap integration technologies. Since moving to Lincoln Laboratory, he leads the trapped-ion team and is a Principal Investigator in MIT’s Research Laboratory for Electronics via the MIT Center for Quantum Engineering. - Description:
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Title: Techniques and Technologies for Robust Control of Trapped-Ion Quantum Systems
Abstract: Individual atomic ions manipulated using electromagnetic fields hold promise for practical quantum information processing due to the long coherence times achievable in these natural qubits and the demonstrated capability for high-fidelity quantum logic in multi-ion systems. Trapped ions have been used to perform basic quantum algorithms, but challenges remain in working with arrays of ion qubits while maintaining high fidelity. Among these challenges are the difficulty of robustly addressing many ions using free-space optics and standard electronics. Additionally, photons emitted from ions provide a pathway for remote entanglement generation via the interference of these photons, a method that may be leveraged in future quantum information processors if entanglement can be robustly and quickly established across distributed architectures. Using microfabricated ion-trap chips as a platform for integration, we are developing technologies to potentially overcome these obstacles and enable new scientific and technological explorations.