New Publication: Quantum Machine Learning and Data Re-Uploading: Evaluation on Benchmark and Laboratory Medicine Data Sets 🚀

🔗https://pubmed.ncbi.nlm.nih.gov/41728802/

#ArtificialIntelligence #BiomedicalInformatics #MedSky #AISky #MedAI #QML #AIML #QuantumMachineLearning

@teknikeroficial.bsky.social presenta un innovador sistema para acelerar la #fabricación de una nueva generación de sensores #cuánticos

➡️ fedit.com/2026/03/tekn... 🔬

#CentrosTecnológicos #TransferenciaTecnológica #GeneraciónDeConocimiento #InnovaciónConImpacto #QuantumMachineLearning

May Your Qubits Be Merry and Bright And May All Your Quamputers Be... Crimsonite (like The Quantum Dragon)

The Quantum Dragon isn't the newsletter you need right now, but it's the newsletter you deserve.

bsiegelwax.substack.com/p/merry-chri...

#quantumcomputing #qubits #quantumcarousel #quantummachinelearning #quantumnoise @insidequantumtech.bsky.social

Quantum Computing's Potential: A Business Guide The Business Guide to Quantum Computing's Potential Let's get one thing straight. Quantum computing isn't science fiction anymore. It’s a rapidly advancing field that’s inching its way out of the…

Quantum Computing's Potential: A Business Guide #businessapplicationsofquantumcomputing #quantumadvantage #quantumalgorithmsforbusiness #quantumasaservice #preparingforquantum #NISQera #quantummachinelearning #qubittechnology #quantumcryptography #quantumtechnologyinvestment

What Quantum Machine Learning Means for the Future of AI

Open up AI's black box with Quantum Computing. This article explains how quantum kernels and QNLP enhance machine learning explainability and traceability. #quantummachinelearning

Promotional flyer for the ScaDS.AI Colloquium showing headshots of Edoardo Altamura and Choy Boy; event title "Colloquium Session"; date and time Thursday, 16 October 2025, 10:30 AM CEST; location TUD Dresden, Strehlener Straße 12/14, room 745; ScaDS.AI Dresden/Leipzig and TUD Dresden logos.

📅New #colloquium on October 16, 2025!
Organized by @dobrautz.bsky.social, Edoardo Altamura will discuss #QuantumMachineLearning for chemistry uses. 
Choy Boy will present on energy landscapes for variational quantum algorithms.
Join us @tudresden.bsky.social & online:
🔗https://tinyurl.com/43hhur49

The German saying goes "wer schön sein will muss leiden". My German is not so good, so I understood "wer schön sein will muss *nach* Leiden". Off to spend a couple months @unileiden.bsky.social, to start new projects on #QuantumMachineLearning

"Ever wondered how structured circuits can halve your quantum model training costs? Discover their impact on gradient estimation and how they make quantum computing more accessible! Have you tried them? Share your experiences! #QuantumComputing #QuantumMachineLearning #Innovation" LINK

New Study Reduces Quantum Model Parameters via Frequency Selection

Frequency‑selection cuts trainable parameters to 78 % of the best conventional method while retaining a median R² of ~0.95 across ten target functions. Read more: getnews.me/new-study-reduces-quantu... #quantummachinelearning #frequencyselection

Hybrid Quantum-Classical Model Boosts Anomaly Detection in ADS‑B Data

A hybrid quantum‑classical neural network (H‑FQNN) achieved 90.17%–94.05% accuracy on ADS‑B anomaly detection, matching a traditional FNN’s 91.50%–93.37%. Read more: getnews.me/hybrid-quantum-classical... #quantummachinelearning #adsb

Quantum Machine Learning Models Aim to Improve Weather Forecasts

The study tested five quantum machine‑learning models on ERA5 climate data; results were comparable to classical baselines, but the paper has been withdrawn. Read more: getnews.me/quantum-machine-learning... #quantummachinelearning #weatherforecasting

"Exciting research reveals a paradox in quantum machine learning: entanglement boosts expressivity but may hinder optimization. What could this mean for future quantum algorithms? 🤔 #QuantumMachineLearning #QuantumComputing #AIResearch" LINK

So excited to be speaking at the 6th #QuantumComputing Opportunities in #Energy Innovation #Workshop
🕑10:00-11:30am MDT at #IEEEQuantumWeek!

I will be discussing two projects I lead in this space on:

#QuantumMachineLearning for smart electrical grids 🔋🔌

and

#Nuclear modeling ⚛️

See you there! 🤹‍♀️💃

"Did you know that data encoding can dramatically boost quantum machine learning model performance? Discover how different methods impact classification accuracy! Share your thoughts on data encoding's role in AI. #QuantumMachineLearning #AIResearch #QuantumComputing" LINK

💻 ¿Qué puede aportar el #QuantumMachineLearning a la IA real?

Este lunes en el #CESGA, Alejandro Pozas-Kerstjens exploró desde algoritmos cuánticos tolerantes a fallos hasta técnicas cuántico-inspiradas que preservan la privacidad.

#Supercomputacion #QuantumComputing

Quandela and Mila unite to revolutionize quantum machine learning, enhancing model evaluation and promising breakthroughs that transform industries and daily life. How do you see hybrid tech shaping the future? 🤔✨ #QuantumMachineLearning #HybridTech #CanadaInnovation LINK

Symmetry-invariant quantum machine learning force fields - IOPscience Symmetry-invariant quantum machine learning force fields, Nha Minh Le, Isabel, Kiss, Oriel, Schuhmacher, Julian, Tavernelli, Ivano, Tacchino, Francesco

Explore this recent paper published in NJP:

Symmetry-invariant quantum machine learning force fields
iopscience.iop.org/article/10.1...

#QuantumMachineLearning #QuantumComputing #BarrenPlateaus

QSUN, SAQuTI & NITheCS Seminar: ‘Domain-Driven Applications of Quantum Machine Learning’ with Dr Nouhaila Innan (New York University, Abu Dhabi).
🗓️ Friday, 23 May 2025
🕑 14:00–15:00 SAST
🔗https://buff.ly/dLUOSz2
#QuantumComputing #QuantumMachineLearning #QML #IYQ2025

Single-shot quantum machine learning

journals.aps.org/pra/abstract...

This work brings together notions of #quantummachinelearning with those of #quantummetrology.

Quantum Machine Learning Cracks Complex Chemistry with Unmatched Accuracy A Cleveland Clinic research team demonstrated that quantum machine learning (QML) can outperform classical computing in predicting proton affinity, a key chemical property. Their study marks a major s...

Quantum Machine Learning Cracks Complex Chemistry with Unmatched Accuracy 🔬💡🧪 www.azoai.com/news/2025040... #QuantumComputing #MachineLearning #Chemistry #Protons #QuantumMachineLearning #Qubits #AI #Science #ComputationalChemistry

Quantum AI and NLP 2025 Conference Call for Papers, 6-8 August 2025, Indiana University in Bloomington

#QuantumMachineLearning

quantiki.org/conference/q...

5th edition of the Quantum Machine Learning Conference organized by QPoland and Quantum AI Foundation

#QuantumMachineLearning

www.quantiki.org/conference/5...

I was in Kaiserslautern, Germany for Quantum Machine Learning winter school #quantum #quantummachinelearning #qml #winterschool

Potential and limitations of random Fourier features for dequantizing #quantummachinelearning.

quantum-journal.org/papers/q-202...

Here, we rigorously explore the extent to which quantum machine models can be dequantized with random Fourier features.

People keeping asking me about #QuantumMachineLearning ( #QML ), and I hae read a few key papers but I really don't understand the key concepts and where the field is going. I'm gonna have to learn...

To whoever is reading this: I am super excited to announce our upcoming workshop, "Quantum Machine Learning: theory meets experiments" at @univie.ac.at ! Join us from April 23rd to 25th for some amazing invited talks from theorists and experimentalists alike.
#QML #QuantumMachineLearning #Workshop

Thanks to @sebastian.bsky.social for the great interview for the @newquantumera.com We talked about #GQE and #VQE and #QML #quantummachinelearning #quantum #compchemsky

Winter School on Quantum Machine Learning in Germany. #quantumcomputing #quantummachinelearning tuk-anmeldungen.procampus.de/de/registrat...

An unconditional distribution learning advantage with shallow quantum circuits

scirate.com/arxiv/2411.1...

We present a #quantummachinelearning advantage of families of constant depth local quantum circuits over reasonably constrained log-log-depth classical circuits.