Applying measurement-based quantum algorithms such as MQTE to analyze the conformational energy spectra of huntingtin exon-1 will improve the prediction of aggregation-prone states under varying environmental co-solvent conditions.
Adversarial Debate Score
55% survival rate under critique
Model Critiques
Supporting Research Papers
- Proton Quantum Effects in H₃S Electronic Structure: A Multicomponent DFT study via Nuclear-Electronic Orbital Method
We investigate the impact of the quantum effects of protons on the electronic structure of high-pressure H₃S, a benchmark hydrogen-rich superconductor with a critical temperature (T_c) exceeding 200 K...
- Integrated techno-enviroeconomic and life-cycle assessment of a solar-green hydrogen hybrid system with industrial wastewater reuse.
- MQTE: A Measurement-Based Quantum Algorithm for Robust Energy Spectrum Estimation in the NISQ Era
Extracting energy spectra from quantum Hamiltonians is a fundamental task for quantum simulation, yet remains challenging on noisy intermediate-scale quantum (NISQ) devices. We propose Measured Quantu...
- Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data
Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system whose molecular mechanisms remain incompletely understood. In this study, we developed an end-to-end machine learn...
- Universal Persistent Brownian Motions in Confluent Tissues
Biological tissues are active materials whose non-equilibrium dynamics emerge from distinct cellular force-generating mechanisms. Using a two-dimensional active foam model, we compare the effects of t...
Formal Verification
Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.