How to Embed Matters: Evaluation of EO Embedding Design Choices
- Luis Gilch
- Isabelle Wittmann
- et al.
- 2026
- CVPR 2026
Workshop paper
Publications
100 results for Quantum Machine Learning
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
- Jun Qi
- Chao-han Huck Yang
- et al.
- 2026
- ICASSP 2026
Conference paperUnsupervised Cycle Detection in Agentic Applications
- Felix George
- Divya Pathak
- et al.
- 2026
- ICPE 2026
Short paperTowards quantum extreme learning and reservoir computing on utility-scale digital quantum processors
- Timothée Dao
- Ege Yilmaz
- et al.
- 2026
- APS Global Physics Summit 2026
TalkPolynomial-time tolerant testing stabilizer states
- Srinivasan Arunachalam
- Arkopal Dutt
- 2026
- QIP 2026
TalkEfficiently learning depth-3 circuits via quantum agnostic boosting
- Srinivasan Arunachalam
- Arkopal Dutt
- et al.
- 2026
- QIP 2026
TalkMitigating exponential concentration in covariant quantum kernels for subspace and real-world data
- Gabriele Agliardi
- Giorgio Cortiana
- et al.
- 2025
- npj Quantum Information
PaperShallow entangled circuits for quantum time series prediction on IBM devices
- Mostafizur Rahaman Laskar
- Richa Goel
- 2025
- Nature Scientific Reports
PaperQuantum Doubly Stochastic Transformers
- Jannis Born
- Filip Skogh
- et al.
- 2025
- NeurIPS 2025
Conference paperEffect of Hybrid Model Structure on Reinforcement Learning Performance
- Saad Amir
- Anton Dekusar
- et al.
- 2025
- QTML 2025
Short paper