Juan Felipe Huan Lew Yee
@felipelewyee.bsky.social
26 followers 16 following 2 posts
Quantum Chemist. Postdoc at the Donostia International Physics Center (DIPC). Proudly Ph.D. from Universidad Nacional Autónoma de México (UNAM).
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Reposted by Juan Felipe Huan Lew Yee
theochemehu.bsky.social
Eduard Matito and Mario Piris from our lab presenting their recent work at QVEST2025 at Schloss Ringberg
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Reposted by Juan Felipe Huan Lew Yee
Reposted by Juan Felipe Huan Lew Yee
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Big news for Julia users! Julia is now officially supported in Google Colab, making high-performance computing & #GPU acceleration more accessible than ever. juliahub.com/blog/julia-n... #JuliaLang #GoogleColab #DataScience #AI #CloudComputing #coding #colab
Julia Now Available on Google Colab
Julia is now officially available on Google Colab, enabling high-performance computing, GPU acceleration, and seamless cloud-based data science.
juliahub.com
Reposted by Juan Felipe Huan Lew Yee
theochemehu.bsky.social
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Now available as a Reviewed Preprint in @elife.bsky.social, our work on aromatic "stickers" in biomolecular phase separation
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doi.org/10.7554/eLif...
felipelewyee.bsky.social
✨ Excited to share our new paper: "Efficient Energy Measurement of Chemical Systems via One-Particle Reduced Density Matrix: A NOF-VQE Approach for Optimized Sampling" by Felipe Lew-Yee and Mario Piris

⚛️ Read the full paper here: pubs.acs.org/doi/10.1021/...
Efficient Energy Measurement of Chemical Systems via One-Particle Reduced Density Matrix: A NOF-VQE Approach for Optimized Sampling
In this work, we explore the use of the one-particle reduced density matrix (1RDM) to streamline energy measurements of chemical systems on quantum computers, particularly within the variational quantum eigensolver (VQE) framework. This approach leverages the existence of an exact energy functional of the 1RDM, enabling a reduction in both the number of expectation values to measure and the number of circuits to execute, thereby optimizing quantum resource usage. Specifically, sampling the 1RDM involves measuring only elements, which is significantly fewer than the required for the Hamiltonian’s expectation value ⟨Ĥ⟩. We demonstrate our approach by harnessing the well-established natural orbital functional (NOF) theory, using the natural orbitals and occupation numbers derived from the diagonalization of the 1RDM measured from the quantum computer. Starting with the H2 system, we validate the accuracy of our method by comparing the energy derived from NOF approximations applied to the exact wave function with the value obtained from ⟨Ĥ⟩. This is followed by an optimization of the gate parameters by minimizing the energy using the NOF approximations as the objective function. The analysis is extended to larger systems, such as LiH, Li2, OH–, FH, NeH+, and F2 using a wave function ansatz with single and double excitation gates. This NOF-based method reduces the scaling cost of circuit executions compared to standard VQE implementations, achieving around 90% savings in the systems used in this work. Overall, by using a well-performing NOF as the objective function, the proposed NOF-VQE demonstrates the viability of NOF approximations for obtaining accurate energies in the noisy intermediate-scale quantum era and underscores the potential for developing new functionals tailored to quantum computing applications.
pubs.acs.org