Yue

Glad to see it published in JHEP👏👏👏

Flying spin qubits in quantum dot arrays driven by spin-orbit interaction. New publication in Quantum under the collaboration with David @TheDavtax and Gloria. @icmm_csic quantum-journal.org/papers/q…

This work presents a stride in quantum chemistry for calculating the molecular ground state by integrating shortcuts-to-adiabaticity techniques into VQA. The designed adiabatic gauge ansatz exhibits reduced number of parameters and circuit depth, adapted to the NISQ era.

Our paper is published! This analog-digital transfer protocol establishes an optimized and robust framework for edge state transfer in an SSH chain. Phys. Rev. Applied 21, 034033 (2024) - journals.aps.org/prapplied/a… @xichen_bilbao @uc3m @tecnalia

I recommend this experimental work for 1st time using STA in QDs Phys. Rev. Lett. 132, 027002 (2024) Accelerated Adiabatic Passage of a Single Electron Spin Qubit in Quantum Dots journals.aps.org/prl/abstrac… and our theoretical work on this topic Phys. Rev. Lett. 109, 206602 (2012)

I'm glad to introduce our work on building a new embedding quantum kernels for classification. This method requires constructing the kernel matrix only once, offering improved efficiency. arxiv.org/abs/2401.04642

Our new preprint ‘Simultaneous Quantum Information Transfer and Quantum Operations in Quantum Dot Arrays Mediated by Spin-Orbit Interaction’ under the collaboration with @TheDavtax and Gloria 🌹 arxiv.org/abs/2312.04631

We have a new preprint on “Regressions on quantum neural networks at maximal expressivity”, analyzing the expressivity of a deep QNN. arxiv.org/abs/2311.06090 @JorgeCasanovaM2 @NquireC @uc3m

Our paper published in @PhysRevA explores the Goos-Hänchen shift and the Imbert-Fedorov shift by applying both current conservation and total angular momentum conservation, revealing intriguing parallel to the spin Hall effect. @xichen_bilbao @NquireC @tecnalia

Glad to introduce our preprint on optimizing edge state transfer in a SSH chain via hybrid digital-analog strategies. Thanks to all the collaborators Sebastián, @xichen_bilbao, Gloria for the nice work. @tecnalia @NquireC arxiv.org/abs/2310.12179

Algorithm-oriented qubit mapping optimizes quantum algorithms for near-term devices. It reduces depth by up to 82.1% and increases success probability by 138% on average vs. Qiskit, Tket & SWAP networks. Thanks to all collaborators @yanjunsj @xichen_bilbao @tecnalia

Our new design on “efficient broadband polarization retarder via shortcuts to adiabaticity” doi.org/10.1364/OL.499058 @xichen_bilbao @tecnalia

Our new understanding on Goos-Hanchen shift and Imbert-Fedorov shift of relativistic electrons from the Dirac current and total angular momentum conservation. @xichen_bilbao @tecnalia

We use a hybrid quantum-classical framework for solving real-world three-dimensional Bin Packing Problems, considering different realistic characteristics. @tecnalia @SciReports

Our work “Quantum neural networks with multi-qubit potentials” is published today by Scientific Reports. Thanks to my collaborators Erik Torrontegui and @JorgeCasanovaM2 🌹@tecnalia nature.com/articles/s41598-0…

I am very glad to give a talk on “optimizing quantum algorithms: from academia to industry” showing what we are doing in the international workshop “Quantum Computation in Superconducting Circuits” and communicate with many experts there.@tecnalia @OpenSuperQPlus

I am happy to attend the conference Quantum Matter 2023 and present our work of the advantage on the combination of quantum sensing and neural network. @QuantumConf @tecnalia @JorgeCasanovaM2 @RPu3bla

Our experimental results illustrate the benefits to integrate neural networks into general quantum sensing tasks to decipher the information contained in the sensor responses 🌹@tecnalia

Neural networks faithfully reproduce the dynamics of quantum many-body sensors, thus allowing for an efficient Bayesian analysis. This indicates machine learning can improve the study of quantum physics🌹@tecnalia