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ESE Fall Seminar – “Quantum error correction: Where we are and where we are heading”

December 8 at 11:00 AM - 12:00 PM

Quantum computers based on superconducting qubits have made tremendous strides in device performance, from improved coherences to lowered single- and two-qubit gate errors, and now feature high-fidelity mid-circuit measurements with feedforward. In this talk, I will introduce our fleet of devices that we have developed and deployed at IBM and discuss our work studying quantum error correction on these devices. I will describe some of the encoding, syndrome extraction, and decoding operations that can be tailored to the heavy-hexagon topology, an arrangement that reduces lattice connectivity, in order to mitigate cross-talk between fixed-frequency transmon qubits. Beyond logical memory demonstration on d=2 and 3 codes, I will also discuss our recent results on encoding a magic state with beyond break-even fidelity. Finally, I will briefly introduce our latest finding that enables high-threshold fault-tolerant quantum memory with far fewer qubits compared to a more common surface code architecture.

Maika Takita

Principal Research Scientist, IBM Quantum

Maika Takita is a Principal Research Scientist at IBM Quantum. She joined IBM in 2015 after completing her Ph.D in Electrical Engineering from Princeton University where she studied transport properties of electrons on helium. At IBM, she has worked with both hardware and software teams, specializing in the control, characterization, and benchmarking of superconducting qubits. She previously led a team towards implementing fault tolerant quantum error correction codes as a co-PI of IARPA’s LogiQ program. Currently she is focusing on large device demonstrations leveraging new capabilities of dynamic circuits, and continues to work with various teams across the full quantum stack.


December 8
11:00 AM - 12:00 PM
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Electrical and Systems Engineering
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Berger Auditorium (Room 13), Skirkanich Hall
210 South 33rd Street
Philadelphia, PA 19104 United States
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