Su Yeon Chang

Huge thanks to my co-authors @MartinLaroo and @MvsCerezo ! If you're attending the APS Global Physics Summit, we’d be happy to see you at our talk: 🗓️ Tuesday, March 17 ⏰ 9:12 AM 📍Mile High Ballroom 1D

This work introduces a practical classical simulation framework for permutation-equivariant quantum circuits with runtime scaling O(n⁴), improving upon previous methods. To demonstrate its practicality, we simulate circuits with up to 512 qubits, running in under 2 minutes.

🚀 New paper out! Happy to share our latest work: “A Practical Framework for Simulating Permutation-Equivariant Quantum Circuits.” arxiv.org/abs/2603.13072

Have you ever wondered how much work can be offloaded from quantum computers when simulating an expectation landscape of a parametrized quantum circuit🤔? In our new work “Efficient quantum-enhanced classical simulation for patches of quantum landscapes” we tackle this question.

#QTML2025 Announced for Singapore!

"Quantum Boltzmann machine learning of ground-state energies" now available: arxiv.org/abs/2410.12935 Our paper solves a problem that has been open in the theory of quantum Boltzmann machines since they were originally proposed eight years ago in arxiv.org/abs/1601.02036. 1/2

Thrilled to announce that our paper has been finally published! A big thank you to all our collaborators!

The impact of hardware noise on the capabilities of equivariant quantum neural networks is explored, and strategies for mitigation are addressed. @cenk_tuysuz @SyChang97 @maria_demidik @GrosQmichi @desy_cqta @CERNquantum go.aps.org/3y0gTou

🚨🚨Some colleagues recently posted a report about potential applications of quantum computers at LANL arxiv.org/abs/2406.06625 We are asking the QIS community’s feedback and critiques on the report and would appreciate your input 🙏. Please send any feedback to cjc@lanl.gov

Overall, our work highlights LaSt-QGAN's potential for practical image generation through empirical experiments and theoretical analysis, paving the way for future applications on larger datasets.

✅ We address the barren plateau problem by showing that a polynomially deep generator circuit can be trained with a small angle initialization, providing a practical solution. We also provide a scaling of the initialization range w.r.t the number of qubits to mitigate BP.

Are you interested in generating images using quantum computing? Check out our new approach: LaSt-QGAN! arxiv.org/abs/2406.02668 @GrosQmichi @s_thanasilp @blesa_ux #MachineLearning #QuantumComputing #GenerativeModeling #GenerativeAdversarialNetworks

The #QTML2023 conference, hosted for the 1st time @CERN, has now officially come to a close. Thank you, everyone, for being with us this year! It has been fantastic to host you! #CERNqti #quantumtechnologies #machinelearning

Equivariant Quantum Machine Learning on the (force) field ⚛️ arxiv.org/abs/2311.11362 We have recently learned, from seminal works in the QML literature, that quantum learning models can very naturally embed group symmetric structures. (1/6)

🚨Applications are now open for the 2024 Los Alamos Quantum Computing Summer School! ⚛️Our school focuses on theory, applications, and programming of quantum computers. Apply here: …school-programs.portals.zenginehq.com/program/quantu…

@MvsCerezo Do you know how to enhance #Quantum Neural Networks' performance on #imageclassification? @SyChang97 of #CERNqti will tell you all about it in her upcoming presentation at #QTML2023. 🔗webcast.web.cern.ch/event/i1288979

[Press Release] CERN inaugurates Science Gateway, its new outreach centre for science education Find out more: home.cern/news/news/cern…

@IBMResearch Hi, I'm interested in applying for the Quantum Research Scientist. However, I couldn't find the application page which is listed in the link above. Have these positions already closed? Thanks a lot! careers.ibm.com/job-not-found/…

Applications are now open to intern with IBM Quantum for summer of 2024! Interns have the opportunity to work directly with researchers, developers, and business experts to advance the field of quantum computing. Learn more and apply today: ibm.co/46llEoA