Quantum Computation with Quantum Dots: Advances in Optimal Control
By Sunny Xin Wang
City University of Hong Kong
Quantum computation, leveraging the principles of quantum mechanics, holds the potential for exponential speedup in solving complex problems. Among the various physical platforms, semiconductor quantum dots have emerged as a promising candidate for scalable quantum computing due to their long coherence times, compatibility with existing semiconductor technology, and ability to host spin qubits. We start this talk by introducing different types of spin qubits, including the Loss-DiVincenzo qubit, singlet-triplet qubit, exchange-only qubit, etc., emphasizing their operational challenges and recent advancements in gate control precision and noise resilience.
A critical challenge in quantum computation is the impact of environmental noise on gate fidelity. While dynamically corrected gates, particularly composite pulse sequences, have traditionally been designed under the assumption of static noise, many quantum systems experience time-dependent fluctuations. To address this, we introduce a geometric framework for designing composite pulses that mitigate both static and dynamic noise. Our approach recovers existing composite sequences while introducing shorter and more robust pulses, demonstrating improved fidelity under complex noise conditions, including 1/f noise.
Zoom link: https://espci.zoom.us/j/89990348414?pwd=z0jZxWfjRRQoV5cHNqQJl58vWcbRUb.1
ID: 899 9034 8414Passcode: FelixBloch