Thanks to @sebastian.bsky.social for the great interview for the @newquantumera.com We talked about #GQE and #VQE and #QML #quantummachinelearning #quantum #compchemsky
New episode posted! Great conversation with @aspuru.bsky.social about his generative quantum eigensolver technique! share.transistor.fm/s/a9258b99
Generative Quantum Eigensolver with Alán Aspuru-Guzik | The New Quantum Era | Episode 42
share.transistor.fm
January 21, 2025 at 2:20 AM
Thanks to @sebastian.bsky.social for the great interview for the @newquantumera.com We talked about #GQE and #VQE and #QML #quantummachinelearning #quantum #compchemsky
Single-shot quantum machine learning
journals.aps.org/pra/abstract...
This work brings together notions of #quantummachinelearning with those of #quantummetrology.
journals.aps.org/pra/abstract...
This work brings together notions of #quantummachinelearning with those of #quantummetrology.
April 16, 2025 at 6:51 AM
Single-shot quantum machine learning
journals.aps.org/pra/abstract...
This work brings together notions of #quantummachinelearning with those of #quantummetrology.
journals.aps.org/pra/abstract...
This work brings together notions of #quantummachinelearning with those of #quantummetrology.
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.
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.
November 26, 2024 at 3:39 AM
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.
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.
Preprint alert!
We show that representations based on one-electron integrals, eg the kinetic energy matrix, can effectively predict materials properties.
Preprint chemrxiv.org/doi/full/10....
Code github.com/grynova-ccc/...
#AIforMaterials #QuantumMachineLearning #ChemicalAI
We show that representations based on one-electron integrals, eg the kinetic energy matrix, can effectively predict materials properties.
Preprint chemrxiv.org/doi/full/10....
Code github.com/grynova-ccc/...
#AIforMaterials #QuantumMachineLearning #ChemicalAI
March 18, 2026 at 5:22 PM
Preprint alert!
We show that representations based on one-electron integrals, eg the kinetic energy matrix, can effectively predict materials properties.
Preprint chemrxiv.org/doi/full/10....
Code github.com/grynova-ccc/...
#AIforMaterials #QuantumMachineLearning #ChemicalAI
We show that representations based on one-electron integrals, eg the kinetic energy matrix, can effectively predict materials properties.
Preprint chemrxiv.org/doi/full/10....
Code github.com/grynova-ccc/...
#AIforMaterials #QuantumMachineLearning #ChemicalAI
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.
quantum-journal.org/papers/q-202...
Here, we rigorously explore the extent to which quantum machine models can be dequantized with random Fourier features.
February 21, 2025 at 7:22 AM
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.
quantum-journal.org/papers/q-202...
Here, we rigorously explore the extent to which quantum machine models can be dequantized with random Fourier features.
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
October 7, 2025 at 8:13 AM
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
QuantumNet presented quantum convolutional neural networks for detecting road surface anomalies like cracks and potholes, advancing quantum machine learning applications in infrastructure monitoring.
#QuantumMachineLearning #InfrastructureMonitoring #News
#QuantumMachineLearning #InfrastructureMonitoring #News
QuantumNet Applies Quantum Convolutional Neural Networks to Road Infrastructure Monitoring
iq.fp2.dev
September 25, 2026 at 6:56 PM
QuantumNet presented quantum convolutional neural networks for detecting road surface anomalies like cracks and potholes, advancing quantum machine learning applications in infrastructure monitoring.
#QuantumMachineLearning #InfrastructureMonitoring #News
#QuantumMachineLearning #InfrastructureMonitoring #News
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
#QML #QuantumMachineLearning #Workshop
February 19, 2025 at 2:33 PM
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
#QML #QuantumMachineLearning #Workshop
Hybrid quantum-classical federated learning achieves 87.57% accuracy using only 12 trainable parameters versus 1,002+ for classical alternatives, enabling privacy-preserving multi-party ML without centralizing raw data.
#QuantumMachineLearning #FederatedLearning #Research
#QuantumMachineLearning #FederatedLearning #Research
Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach
iq.fp2.dev
September 23, 2026 at 2:33 PM
Hybrid quantum-classical federated learning achieves 87.57% accuracy using only 12 trainable parameters versus 1,002+ for classical alternatives, enabling privacy-preserving multi-party ML without centralizing raw data.
#QuantumMachineLearning #FederatedLearning #Research
#QuantumMachineLearning #FederatedLearning #Research
I truly enjoyed the excellent workshop at IPAM on #quantummachinelearning with a strong emphasis on mathsy methods, steering away from any hype, and the visit of friends and colleagues at Google AI in Santa Barbara last week. Lots of good discussions.
October 25, 2023 at 6:55 PM
I truly enjoyed the excellent workshop at IPAM on #quantummachinelearning with a strong emphasis on mathsy methods, steering away from any hype, and the visit of friends and colleagues at Google AI in Santa Barbara last week. Lots of good discussions.
Telecom Paris is seeking a highly qualified candidate for a 3-year tenure-track Associate Professor position in Quantum Machine Learning...
mlscientist.com/quantum-mach...
#QuantumMachineLearning #TenuretrackProfessor #TelecomParis
mlscientist.com/quantum-mach...
#QuantumMachineLearning #TenuretrackProfessor #TelecomParis
September 21, 2026 at 9:48 AM
Telecom Paris is seeking a highly qualified candidate for a 3-year tenure-track Associate Professor position in Quantum Machine Learning...
mlscientist.com/quantum-mach...
#QuantumMachineLearning #TenuretrackProfessor #TelecomParis
mlscientist.com/quantum-mach...
#QuantumMachineLearning #TenuretrackProfessor #TelecomParis
Demonstrates quantum reservoir computing on D-Wave's 4,500-qubit annealer, achieving chaotic time-series forecasting without expensive training loops. Proves many-body interactions essential for quantum memory in temporal processing.
#QuantumComputing #QuantumMachineLearning #Research
#QuantumComputing #QuantumMachineLearning #Research
Temporal Information Processing on a 4,500-Qubit Quantum Annealer
arxiv.org
September 18, 2026 at 10:56 AM
Demonstrates quantum reservoir computing on D-Wave's 4,500-qubit annealer, achieving chaotic time-series forecasting without expensive training loops. Proves many-body interactions essential for quantum memory in temporal processing.
#QuantumComputing #QuantumMachineLearning #Research
#QuantumComputing #QuantumMachineLearning #Research
El machine learning cuántico llega a Graná y os lo contamos en Canal Sur Radio (minuto 34.4). Con Daniel Manzano y Susana Escudero :)
www.canalsur.es/radio/progra...
@suescudero.bsky.social #SciComm #Divulgación #QuantumComputing #QuantumMachineLearning
www.canalsur.es/radio/progra...
@suescudero.bsky.social #SciComm #Divulgación #QuantumComputing #QuantumMachineLearning
September 14, 2023 at 7:47 AM
El machine learning cuántico llega a Graná y os lo contamos en Canal Sur Radio (minuto 34.4). Con Daniel Manzano y Susana Escudero :)
www.canalsur.es/radio/progra...
@suescudero.bsky.social #SciComm #Divulgación #QuantumComputing #QuantumMachineLearning
www.canalsur.es/radio/progra...
@suescudero.bsky.social #SciComm #Divulgación #QuantumComputing #QuantumMachineLearning
Quantum machine learning revolutionizes climate modeling! Leveraging quantum computing & AI to detect anomalies, predict trends & optimize solutions. Future of climate research looks bright! #QuantumMachineLearning #ClimateModeling #Sustainability
January 10, 2025 at 10:10 AM
Quantum machine learning revolutionizes climate modeling! Leveraging quantum computing & AI to detect anomalies, predict trends & optimize solutions. Future of climate research looks bright! #QuantumMachineLearning #ClimateModeling #Sustainability
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! 🤹♀️💃
🕑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! 🤹♀️💃
August 21, 2025 at 3:08 AM
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! 🤹♀️💃
🕑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! 🤹♀️💃
Last week we posted a super-exciting work, on #DoubleDescent in #QuantumMachineLearning, specifically for usual gradient-trained #ParametrizedQuantumCircuits:
arxiv.org/abs/2607.21409
The Germany-Netherlands Academia-Industry collaboration was spear-headed by Marie Kempkes, who is just great!
arxiv.org/abs/2607.21409
The Germany-Netherlands Academia-Industry collaboration was spear-headed by Marie Kempkes, who is just great!
Cautious optimism for deep parameterized quantum circuits
A central challenge in quantum machine learning is understanding the scaling behavior of parameterized quantum circuits (PQCs). In particular, it remains unclear how their performance on unseen data c...
arxiv.org
July 30, 2026 at 7:31 AM
Last week we posted a super-exciting work, on #DoubleDescent in #QuantumMachineLearning, specifically for usual gradient-trained #ParametrizedQuantumCircuits:
arxiv.org/abs/2607.21409
The Germany-Netherlands Academia-Industry collaboration was spear-headed by Marie Kempkes, who is just great!
arxiv.org/abs/2607.21409
The Germany-Netherlands Academia-Industry collaboration was spear-headed by Marie Kempkes, who is just great!
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
🔗https://pubmed.ncbi.nlm.nih.gov/41728802/
#ArtificialIntelligence #BiomedicalInformatics #MedSky #AISky #MedAI #QML #AIML #QuantumMachineLearning
March 4, 2026 at 4:12 PM
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
🔗https://pubmed.ncbi.nlm.nih.gov/41728802/
#ArtificialIntelligence #BiomedicalInformatics #MedSky #AISky #MedAI #QML #AIML #QuantumMachineLearning
Hybrid quantum-classical architecture achieves 99.31% parameter reduction for object detection while maintaining equivalent performance through topology-controlled entanglement and Hilbert space partitioning on an 8-qubit system.
#QuantumMachineLearning #QuantumComputing #Research
#QuantumMachineLearning #QuantumComputing #Research
Quantum Transfer Learning for Object Detection Using Topology-Controlled Entanglement
arxiv.org
September 15, 2026 at 9:42 PM
Hybrid quantum-classical architecture achieves 99.31% parameter reduction for object detection while maintaining equivalent performance through topology-controlled entanglement and Hilbert space partitioning on an 8-qubit system.
#QuantumMachineLearning #QuantumComputing #Research
#QuantumMachineLearning #QuantumComputing #Research
Winter School on Quantum Machine Learning in Germany. #quantumcomputing #quantummachinelearning tuk-anmeldungen.procampus.de/de/registrat...
RPTU Anmeldungen
tuk-anmeldungen.procampus.de
December 22, 2024 at 8:58 PM
Winter School on Quantum Machine Learning in Germany. #quantumcomputing #quantummachinelearning tuk-anmeldungen.procampus.de/de/registrat...
Exploring the potential of combining quantum computing & machine learning! 🤯 Early results show promise for speedups in complex models. #QuantumMachineLearning #QML #ICML #NIPS #UAI
June 12, 2025 at 11:21 AM
Exploring the potential of combining quantum computing & machine learning! 🤯 Early results show promise for speedups in complex models. #QuantumMachineLearning #QML #ICML #NIPS #UAI
Quantum machine learning revolutionizing climate modeling! Efficiently processing large datasets, identifying complex patterns, and improving predictions. Exciting times for climate science! #QuantumMachineLearning #ClimateModeling #Sustainability
January 22, 2025 at 10:10 AM
Quantum machine learning revolutionizing climate modeling! Efficiently processing large datasets, identifying complex patterns, and improving predictions. Exciting times for climate science! #QuantumMachineLearning #ClimateModeling #Sustainability
Hello, many worlds.
We’re Cascade Quantum.
Our goal is to make it effortless to create elegant quantum applications. Here's what we're building:
#QuantumComputing #QuantumMachineLearning #QuantumAI #LifeSciences #DeepTech
We’re Cascade Quantum.
Our goal is to make it effortless to create elegant quantum applications. Here's what we're building:
#QuantumComputing #QuantumMachineLearning #QuantumAI #LifeSciences #DeepTech
August 20, 2026 at 4:26 PM
Hello, many worlds.
We’re Cascade Quantum.
Our goal is to make it effortless to create elegant quantum applications. Here's what we're building:
#QuantumComputing #QuantumMachineLearning #QuantumAI #LifeSciences #DeepTech
We’re Cascade Quantum.
Our goal is to make it effortless to create elegant quantum applications. Here's what we're building:
#QuantumComputing #QuantumMachineLearning #QuantumAI #LifeSciences #DeepTech
💻 ¿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
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
July 15, 2025 at 7:48 AM
💻 ¿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
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
"Exploring quantum machine learning just got a boost. 2023 saw quantum computing & AI intersect to revolutionize fields like image recognition, NL processing & chemistry. Time to unlock new possibilities & drive innovation in this exciting field #QuantumMachineLearning #QML"
December 20, 2024 at 10:10 AM
"Exploring quantum machine learning just got a boost. 2023 saw quantum computing & AI intersect to revolutionize fields like image recognition, NL processing & chemistry. Time to unlock new possibilities & drive innovation in this exciting field #QuantumMachineLearning #QML"