Excited to share this news that "Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications" is now officially published on Quantum (finally!).🥳 via @quantumjournal.

RT @SherryLixueC: 🥳excited to see our, Orbformer, a wavefunction foundation model trained on the 2nd row elements, is released. By using pr….

RT @SherryLixueC: 🎉Excited to see NERD is published on @JChemPhys .Appreciate all the suggestions from reviewers a….

RT @SherryLixueC: 🥳Happy to share our work on extracting extremely accurate electron densities (and many related properties) from wavefunct….

RT @SherryLixueC: 🥳Excited to announce that our work on using a double adaptive-region BO (DARBO) [a modified ver of TuRBO] to opt QAOA is….

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.😊.

RT @YuanqiD: (1/3) I am thrilled to announce that @AI_for_Science workshop is back with #NeurIPS2023! This year we put together several new….

🖥️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:

🥳We're happy to announce MathTranslate w/ GUI 📖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.

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.

1/2 🥳Excited to share our new work 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.

RT @SherryLixueC: This work is published on JCTC @JCIM_JCTC now: Welcome everyone's comments and hope our softwar….

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.

🥳Excited to share our new published paper on @PhysRevB on transport & noise of hot e in GaAs! 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.

RT @SherryLixueC: #aiforedu #aiforsci.Introducing "AI4Sci Education" org!.Just started this as a platform for better edu for next-gen AI4Sc….

RT @SherryLixueC: 😊My 1st work on ML4QuantumComputing! Plz check out our new paper on boosting param. opt. efficiency for VQAs (QAOA here)….

RT @SherryLixueC: 🥳Introducing TenCirChem, a Quantum Computing for Quantum Chemistry package! Just released this week to boost quantum chem….

#APSMarchMeeting Welcome to my presentation on 12:06-12:18 pm, Mar 9 RM226/227! 🥳

RT @quantumjournal: Accepted and published in Quantum: TensorCircuit: a Quantum Software Framework for the NISQ Era by Shi-Xin Zhang, Jonat….

4/4 🌟.🤖written w/ @TensorFlow @PyTorch & Jax backends.⚒️compatible w/ ML: Auto differentiation + VMAP + JIT + GPU speedup!.😶‍🌫️capable to bridge w/ cloud quantum hardware w/ error mitigation & post-processing. If u r interested, plz have a try!😉.