PhD & Postdoc@Caltech, Chan group. Previous: Minnich, Miller group. Quant Chem & Quant Comp. Husband of @SherryLixueC WeChat official: bbmm_s_cat

Pasadena, California
Joined August 2016
Jiace Sun retweeted
arxiv.org/pdf/2602.17158 Excited to share my husband @sunjiace’s recent work on stochastic tensor contraction CC. A real revolutionary work on classical electronic structure. On an order of improvements of DLPNO CC in terms of accuracy & costs, nearly the same cost of wB97!
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🥳excited to see our, Orbformer, a wavefunction foundation model trained on the 2nd row elements, is released. By using pretaining-finetuning, one can compute multiref systems fast & accurately. Please check out the series of posts from Adam 😊
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🎉Excited to see NERD is published on @JChemPhys doi.org/10.1063/5.0236919 Appreciate all the suggestions from reviewers and the supports from @MSFTResearch leaders and JCP editor office!
🥳Happy to share our work on extracting extremely accurate electron densities (and many related properties) from wavefunctions. Feel honored to work with all these talented colleagues in @MSFTResearch AI for Science Lab
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🥳Happy to share our work on extracting extremely accurate electron densities (and many related properties) from wavefunctions. Feel honored to work with all these talented colleagues in @MSFTResearch AI for Science Lab
Introducing Neural Electron Real-space Density (NERD) models! 🧠 You’ve solved the electronic Schrödinger equation using PauliNet or Psiformer - what next? Important properties come from the 1-electron density (the marginal #MachineLearning) arxiv.org/abs/2409.01306
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🥳Excited to announce that our work on using a double adaptive-region BO (DARBO) [a modified ver of TuRBO] to opt QAOA is published on @CommsPhys. Robust on real Quantum devices w/ noises! 📰Paper: nature.com/articles/s42005-0… 👩‍💻Code: github.com/sherrylixuecheng/…
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We really appreciate the suggestions from reviewers and the help from editors. Hope our work would be helpful for quantum computing for quantum chemistry field.😊
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Jiace Sun retweeted
(1/3) I am thrilled to announce that @AI_for_Science workshop is back with #NeurIPS2023! This year we put together several new programs with a new theme "from theory to practice", including a panel discussion to align the expectation between academia and funding agencies.
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🥳We're happy to announce MathTranslate w/ GUI github.com/SUSYUSTC/MathTran…. 📖A free latex-based open-source github project to translate arxiv papers to any other languages with perfect treatments of equations, references, figures... 📄With mathpix, you can also translate any pdf.
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🖥️An easy-to-use GUI with support of Windows, MacOS and Linux. No GPT is needed and 100% free. 🧑‍🔬👩‍🔬Terrific for non-native speakers to read papers in other languages. 📺Please checkout our user guide video: youtube.com/watch?v=s5N4bcUK…
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1/2 🥳Excited to share our new work arxiv.org/abs/2306.12053. Present a Clifford-based Hamiltonian engineering algorithm (CHEM) to achieve chemical accuracy with shallow quantum circuits for VQE. Demonstrated on systems as large as 12 qubits w/ fewer than 30 2-qubit gates.
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2/2 We design the Clifford-based Hamiltonian transformation that (1) ensures the initial state is the Hartree–Fock state (2) maximizes the initial energy gradients (3) imposes negligible classical processing cost.
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This work is published on JCTC @JCIM_JCTC now: pubs.acs.org/doi/abs/10.1021…. Welcome everyone's comments and hope our software can contribute the field of Quantum Computing for Quantum Chemistry.
🥳Introducing TenCirChem, a Quantum Computing for Quantum Chemistry package! Just released this week to boost quantum chemistry studies! 📃WhitePaper: arxiv.org/abs/2303.10825 👩‍💻Github: github.com/tencent-quantum-l… 💾Different commonly used ansatze 💡Flexible to cook a new ansatz
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🥳Excited to share our new published paper on @PhysRevB on transport & noise of hot e in GaAs! rb.gy/u1158 It introduces a semi-analytical model for e transport in GaAs to describe e-ph interactions, allowing the prior approx used in the ab-initio calcs to be lifted.
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However, qualitative discrepancy for the electronic noise is not improved with the semi-analytical model. Our work suggests that the exp noise behavior mostly likely arises from space charge domain formation rather than intervalley scattering, as has been assumed for many decades
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#aiforedu #aiforsci Introducing "AI4Sci Education" org! Just started this as a platform for better edu for next-gen AI4Sci researchers (college/high school students) Website: ai4sciedu.github.io/ Github: github.com/AI4SciEdu Plz contribute & join to guide more students!
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😊My 1st work on ML4QuantumComputing! Plz check out our new paper on boosting param. opt. efficiency for VQAs (QAOA here) by a newly designed double adaptive-region BO. Combine w/ error mitigation, run exps on real hardware & get good results! arxiv.org/abs/2303.14877
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🥳Introducing TenCirChem, a Quantum Computing for Quantum Chemistry package! Just released this week to boost quantum chemistry studies! 📃WhitePaper: arxiv.org/abs/2303.10825 👩‍💻Github: github.com/tencent-quantum-l… 💾Different commonly used ansatze 💡Flexible to cook a new ansatz
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#APSMarchMeeting Welcome to my presentation on 12:06-12:18 pm, Mar 9 RM226/227! 🥳
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Accepted and published in Quantum: TensorCircuit: a Quantum Software Framework for the NISQ Era by Shi-Xin Zhang, Jonathan Allcock, Zhou-Quan Wan, Shuo Liu, Jiace Sun, Hao Yu, Xing-Han Yang, Jiezhong Qiu, Zhaofeng Ye, Yu-Qin Chen, Chee-Kong ... doi.org/10.22331/q-2023-02-0…
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