Yue

92 posts

Yue

Yue

@QuantumYue

Happy to contribute quantum S&T in the 21 st century.

Katılım Haziran 2019
385 Takip Edilen427 Takipçiler
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Xi Chen
Xi Chen@xichen_STA·
Programa mediodía en RNE! Ahora una entrevista con Gloria Platero @icmm_csic
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Xi Chen
Xi Chen@xichen_STA·
Welcome to our group @icmm_csic JAEINT25_EX_1362
Quantum Neural Networks for Density Functional Theory Simulations in 2D Materials
BAN , YUE @QuantumYue JAEINT25_EX_0270
Physics-Informed Neural Networks for Quantum Optimal Control
CHEN , XI @xichen_STA
Instituto de Ciencia de Materiales Madrid - CSIC@icmm_csic

📌¿Estás estudiando y te interesa el mundo de la investigación? 👍¡Es tu oportunidad de probar! 💥Lanzamos oferta de 29 becas de introducción a la investigación #JAEIntro del @CSIC 📆Plazo hasta el 9 de mayo icmm.csic.es/en/actualidad-…

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Mikel Sanz
Mikel Sanz@qmisanz·
The validated test accuracies attain 85% and 88% with 2 & 3 features, respectively, and 8 qubits. As expected the accuracy monotonically grows with the number of qubits. Credits to the great @pablones8 and the collabs Robert Farzan-Rodriguez, Gabriele Novelli and @QuantumYue
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Yue@QuantumYue·
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.
Xi Chen@xichen_STA

New preprint discusses improving adiabatic and variational quantum algorithms for molecular simulations by counterdiabatic driving. More details refer to arxiv.org/abs/2407.20957. Collaboration with Julián Ferreiro, @tecnalia Iñaki Iriarte @NquireC @QuantumYue @icmm_csic

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Yue@QuantumYue·
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/abstract/1… and our theoretical work on this topic Phys. Rev. Lett. 109, 206602 (2012)
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Yue@QuantumYue·
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
Mikel Sanz@qmisanz

🚨 New preprint today on the training of embedding quantum kernels with data re-uploading quantum neural networks for classification (arxiv.org/abs/2401.04642) Congrats to @pablones8 for this great work and to @QuantumYue. We use a QNN with scalable training to build an EQK.

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Yue@QuantumYue·
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
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Yue@QuantumYue·
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
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Yue@QuantumYue·
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
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