12th QSC General Assembly in Leiden
We invite you to the 12th edition of the Quantum Software Consortium (QSC) General Assembly which will be held at Scheltema in Leiden on November 15, 2024. It will be organized by Jonas Helsen and Liubov Markovich. Jonas Haferkamp (Harvard University) will give a key note: Efficient Constructions of Random Quantum Circuits.
There will be several presentations, from mathematics over cryptography and quantum information to experimental quantum optics.
Jonas Haferkamp (School of Engineering and Applied Sciences, Harvard University)
Efficient Constructions of Random Quantum Circuits
Kshiti Sneh Rai (LION, Leiden University)
Certification and Optimization of the Spectral Gap for Enhanced Adiabatic State Preparation
Jan A. Krzywda (LIACS, Leiden University)
Anyway the Wind Blows: Online Bayesian Tracking and Feedback of Correlated Noise in Spin Qubit Devices
The venue is at Scheltema, Marktsteeg 1, 2312 CS Leiden.
https://www.scheltemaleiden.nl/contact/
Abstracts
Kshiti Sneh Rai (LION, Leiden University) - Certification and Optimization of the Spectral Gap for Enhanced
Adiabatic State Preparation
Abstract: Efficient quantum state preparation is a crucial component of many quantum algorithms. In this work, we focus on adiabatic state preparation, where the ground state is obtained by smoothly interpolating between a Hamiltonian with a trivial ground state and a target Hamiltonian. The success of this process hinges on the spectral
gap, but determining this gap beforehand, particularly in many-body systems, is computationally challenging. We propose rigorous methods to lower-bound the spectral gap using semidefinite programming.
Additionally, we compare our lower bounding method with existing ones based on finite-size criteria. Finally, we briefly explore how concavity properties of the spectral gap can be used to optimize Hamiltonian interpolation paths, giving better guarantees on ground state preparation using the adiabatic algorithm.
Jan A. Krzywda (LIACS, Leiden University)
Anyway the Wind Blows: Online Bayesian Tracking and Feedback of Correlated Noise in Spin Qubit Devices
Abstract: Processing quantum information using spins of individual electrons (or holes) offers compatibility with existing semiconductor technology but presents unique challenges at the nanometer scale [1]. One of these challenges involves the inevitable interaction with an uncontrolled environment, characterized by spatial and temporal correlations. While this may complicate error correction and mitigation protocols, it also provides an opportunity to employ data-driven approaches for real-time qubit control and calibration.
As a proof of principle, in this talk, I will discuss an experimental demonstration of Hadamard and phase gates driven by noise [2], and the potential for improvement through physics-informed [3] and reinforcement learning techniques [4]. This research paves the way towards more scalable quantum computers that use a data-driven approach to adapt to environmental noise.
[1] G. Burkard et al., Rev. Mod. Phys. 95, 025003 (2023).
[2] F. Berritta, T. Rasmussen, J. A. Krzywda, et al.. Nature Communications, 15(1), 1676 (2024).
[3] F. Berritta, J. A. Krzywda, Physical Review Applied, 22(1), 014033 (2024).
[4] J. Benestad, J. A. Krzywda et al, arXiv:2309.15014 (2023).
