Daniel Sank的动态

Excited to share that my recent paper on quantum error mitigation for photonic systems was accepted for a talk at the conference Quantum Computing Theory in Practise, this year in Edinburgh #QCTiP24 The paper, “Quantum error cancellation in photonic systems - undoing photon losses”, applies the probabilistic error cancellation framework to mitigate against photon losses and was written in collaboration with Gabriele Bressanini, Hyukjoon Kwon (???) and my supervisor Myungshik Kim. In it, we analytically derived the (non-physical) inverse photon loss channel and found a representation in terms of a sum over physically realisable channels. We then showed that the impact of losses on expectation values can be made arbitrarily small by employing our mitigation scheme. You can find the preprint at https://lnkd.in/edEmQGj5. My talk on day 3 of QCTiP (18/04/24) at 11am; if anyone else is attending QCTiP or Quantum Week 2024 in Scotland, let me know!

Have you ever encountered the unexpected CPW resonator frequency shifts, even with correctly set substrate properties and strict convergence criteria? Or have you experienced significantly large errors in cross-Kerr shift calculations? If so, my recent work (https://lnkd.in/gnYvq2uB) may offer insights into these phenomena ?? In this paper, our research group shows that the superconducting material properties really "matter", particularly when films are dirty or ultra-thin. To address this challenge, we propose a novel circuit quantization method that incorporates superconducting material properties and we demonstrate significantly improved accuracy in predicting Hamiltonian parameters of 2-Q and 8-Q devices. The full paper will be updated soon! so stay tuned to the updates ?

Our new paper (SCI-Expanded Q2) has been published. Density functional theory was performed using VASP CODE #optoelectronic #photovoltaic #solarcell

New preprint of some experimental results! It's about long-time benchmarking measurements of our tunable qubits. https://lnkd.in/gHGT2g-e

Logic Gates currently operate on binary, +1 and zero. Well my research is on Ternary, negative number - 1 and even imaginary number i. If +1 represents positive voltage or DC High. Then - 1 represents negative voltage or DC low. 0 represents off or neutral signal. And what does i represent? Well i represents AC current! How? Read my research paper through the link provided below for more: https://lnkd.in/dJ2n5mH8

How to implement non-contact wireless power transfer? This paper analyzes a possible solution. Excited to share that our paper entitled "Analysis and experimental validation of the WPT efficiency of the both-sides retrodirective system" is published in Elsevier through KeAi Publishing. You can download the paper here: https://lnkd.in/gHpiXi39 This paper discusses how we modeled the both-sides retrodirective system and showed that it can naturally achieve maximum WPT efficiency available to the channel at steady state. We also discuss here the experiment design we used to validate the theoretical analysis. Although we validated it through a wired channel, we can simulate different wireless channel conditions using the board we designed. Theoretical prediction and experiment results match within 10% of each other. Further improvements can be made to the experiment and reduce the error. Thank you very much to Prof. Shinichi Nakasuka, Prof. Naoki Shinohara, and Prof. Bo Yang for their guidance on the completion of this experiment. Excited to take this concept further, hopefully into the market.

This video showcases the direct simulation of mass transfer in gravity-driven bubble swarms within a vertical pipe. This simulation was performed on the supercomputer MareNostrum IV, utilizing 960 CPU cores. Direct simulations of bubbly flows generate data to develop correlations for the drag force coefficient, interfacial area, and Sherwood number in bubbles in a vertical pipe. === For further technical details, check out our recent paper, which is open access in the Chemical Engineering Journal: Numerical study of the drag force, interfacial area, and mass transfer in bubbles in a vertical pipe. Chemical Engineering Journal. DOI: https://lnkd.in/eW5EhkcJ

Pleased to share another one of our recent papers titled "Rank Is All You Need: Estimating the Trace of Powers of Density Matrices." This work is a collaboration with MyeongJin Shin and Seungwoo Lee. Paper link: https://lnkd.in/gPyKhHEi In this paper, we introduce an algorithm that significantly reduces the number of qubits and gates needed to estimate the trace of powers of density matrices. Our approach, inspired by the Newton-Girard method, is more suited for near-term quantum devices and has broad applications in quantum state calculations, Gibbs state preparation, and error mitigation.

Density Functional Theory (DFT) is a popular method to investigate the electronic structure in atoms, molecules and the condensed phases. Thanks ACS for providing this opportunity to learn.

Exciting news! Check out this new blog post on "A Fast Convergence Algorithm for Iterative Adaptation of Feedforward Controller Parameters" on arXiv. The post presents an algorithm utilizing Pattern Search and Adaptive Coordinate Descent methods to significantly improve the convergence speed of feedforward controllers. It also explores the simulated results on a well-known control problem in electromechanics. Enhance your understanding of feedforward control and optimization by reading the full post here: https://bit.ly/3xsv70q.