Exploiting Locality in Full Configuration Interaction Quantum Monte Carlo for Fast Excitation Generation. [PDF]
Weser O, Alavi A, Manni GL.
europepmc +1 more source
Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation
This research introduces a novel quantum-enhanced intelligent system tailored for personalized adaptive radiotherapy dose estimation. The system efficiently models radiation transport and predicts patient-specific dose distributions by integrating ...
Radhey Lal +3 more
doaj +1 more source
Machine Learning to Simulate Quantum Computing System Errors from Physical Observations
In the context of quantum computing, error correction remains a pivotal challenge, primarily due to imperfect gate operations and environmental interactions.
Jie Feng +3 more
doaj +1 more source
Efficient world-line-based quantum Monte Carlo method without Hubbard-Stratonovich transformation. [PDF]
Wang J, Pan W, Sun DY.
europepmc +1 more source
Double Excitation Energies from Quantum Monte Carlo Using State-Specific Energy Optimization. [PDF]
Shepard S +4 more
europepmc +1 more source
On the potentially transformative role of auxiliary-field quantum Monte Carlo in quantum chemistry: A highly accurate method for transition metals and beyond. [PDF]
Shee J +4 more
europepmc +1 more source
ABSTRACT This study examines light‐matter interactions in CsFAPb(Br, I)3 perovskite thin films by analyzing their absorption, reflection, and emission properties using Fresnel‐based OPAL2 simulations. The optical spectra show sharp absorption edges at 1.55 – 1.60 eV for CH3NH3PbI3 and triple‐cation perovskites, which blue‐shift to ∼1.8 eV with ...
Miller Shatsala +3 more
wiley +1 more source
The Sign Problem in Density Matrix Quantum Monte Carlo. [PDF]
Petras HR +3 more
europepmc +1 more source
Carbon‐14 Perovskite Betavoltaics Reach Record 10.79% Efficiency
A perovskite‐based betavoltaic cell incorporating carbon‐14 nanoparticles and formamidinium lead iodide achieves a record energy conversion efficiency of 10.79%. The device design enhances charge generation through an electron avalanche multiplication mechanism.
Hong Soo Kim +6 more
wiley +1 more source
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain +3 more
wiley +1 more source

