High-Fidelity Qutrit Entanglement in Superconducting Circuits
ORAL
Abstract
The workhorse qubit of modern superconducting systems – the transmon – has readily addressable higher states making it also a natural platform for qutrit operation. Provided high-fidelity multi-qutrit control, the larger, more connected computational space leveraged in a ternary approach to quantum computation can enable improvements to quantum simulation and error correction. Nonetheless, a significant impediment to realizing effective qutrit processing in a superconducting platform has been the ability to generate high-fidelity qutrit entangling gates. Recently, utilizing the Differential AC-Stark effect, we have demonstrated a dynamic cross-Kerr interaction between two fixed-frequency transmon qutrits and leveraged it to generate high-fidelity, maximally-entangling qutrit controlled-phase gates. Additionally, enabling coherent control over the full multi-qutrit Hilbert space allows one to compactly generate multi-controlled qubit entangling gates and achieve greater flexibility in generating two-qubit gates. In this talk, we present advanced control and characterization techniques in transmon qutrits that we leverage for high-fidelity qutrit entangling operations to improve both binary and ternary approaches to quantum computation.
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Publication: High-Fidelity Qutrit Entangling Gates for Superconducting Circuits https://arxiv.org/abs/2206.07216
Presenters
Noah Goss
University of California Berkeley
Authors
Noah Goss
University of California Berkeley
Long B Nguyen
Lawrence Berkeley National Laboratory
Ravi K Naik
Lawrence Berkeley National Laboratory
Alexis Morvan
Google Quantum AI
Brian Marinelli
University of California, Berkeley
Brad Mitchell
Lawrence Berkeley National Laboratory
John Mark Kreikebaum
Lawrence Berkeley National Laboratory
Larry Chen
University of California, Berkeley
Christian Jünger
Lawrence Berkeley National Laboratory, University of California, Berkeley
David I Santiago
Lawrence Berkeley National Laboratory
Irfan Siddiqi
University of California, Berkeley, Lawrence Berkeley National Laboratory