Yue
@QuantumYue
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Happy to contribute quantum S&T in the 21 st century.
Joined June 2019
Glad to see it published in JHEP👏👏👏.
New paper in #JHEP. We investigate the role of quantum scrambling in quantum batteries and its effects on optimal power and charging times within the SYK model. @icmm_csic @NquireC @QuantumYue @jonzen_Physics and Sebastian.
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RT @xichen_STA: Welcome to our group @icmm_csic JAEINT25_EX_1362.Quantum Neural Networks for Density Functional Theory Simulations in 2D Ma….
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RT @PhysRevResearch: Quantum approximated cloning-assisted density matrix exponentiation, Pablo Rodriguez-Grasa, Ruben Ibarrondo, Javier Go….
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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 .
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RT @qmisanz: The validated test accuracies attain 85% and 88% with 2 & 3 features, respectively, and 8 qubits. As expected the accuracy mon….
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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.
New preprint discusses improving adiabatic and variational quantum algorithms for molecular simulations by counterdiabatic driving. More details refer to Collaboration with Julián Ferreiro, @tecnalia Iñaki Iriarte @NquireC @QuantumYue @icmm_csic
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RT @xichen_bilbao: New preprint on quantum active learning, which reduces labeling costs by selecting key samples for practical #QML applic….
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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) - @xichen_bilbao @uc3m @tecnalia.
journals.aps.org
The Su-Schrieffer-Heeger (SSH) chain, which serves as a paradigmatic model for comprehending topological phases and their associated edge states, plays an essential role in advancing our understand...
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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 .and our theoretical work on this topic.Phys. Rev. Lett. 109, 206602 (2012).
journals.aps.org
Schemes for shortcuts to adiabaticity are demonstrated in gate-defined quantum dots based on transitionless quantum driving.
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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
Quantum and classical machine learning have been naturally connected through kernel methods, which have also served as proof-of-concept for quantum advantage. Quantum embeddings encode classical...
🚨 New preprint today on the training of embedding quantum kernels with data re-uploading quantum neural networks for classification ( 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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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 🌹.
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RT @qmisanz: New preprint today on cloning-assisted density matrix exponentiation for #QML and #QuantumAlgorithms with @pablones8 @raist272….
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We have a new preprint on “Regressions on quantum neural networks at maximal expressivity”, analyzing the expressivity of a deep QNN. @JorgeCasanovaM2 @NquireC @uc3m
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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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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 .
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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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Our new design on “efficient broadband polarization retarder via shortcuts to adiabaticity”.@xichen_bilbao @tecnalia
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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
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We use a hybrid quantum-classical framework for solving real-world three-dimensional Bin Packing Problems, considering different realistic characteristics. @tecnalia @SciReports
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