Results 61 to 70 of about 189,782 (285)
First Principles Methods: A Perspective from Quantum Monte Carlo
Quantum Monte Carlo methods are among the most accurate algorithms for predicting properties of general quantum systems. We briefly introduce ground state, path integral at finite temperature and coupled electron-ion Monte Carlo methods, their merits and
Miguel A. Morales +3 more
doaj +1 more source
Quantum Monte Carlo for minimum energy structures
We present an efficient method to find minimum energy structures using energy estimates from accurate quantum Monte Carlo calculations. This method involves a stochastic process formed from the stochastic energy estimates from Monte Carlo that can be ...
Jeffrey C. Grossman +2 more
core +1 more source
Conjugated polymer–nanocrystal composites are investigated to develop fast, high‐yield green scintillators. The polymer F8BT enables efficient, ultrafast emission, while blends with non‐emitting HfO2 nanocrystals and luminescent CdZnS/ZnS quantum dots reveal distinct sensitization mechanisms.
Chenger Wang +13 more
wiley +1 more source
Formulation and Application of Quantum Monte Carlo Method to Fractional Quantum Hall Systems
Quantum Monte Carlo method is applied to fractional quantum Hall systems. The use of the linear programming method enables us to avoid the negative-sign problem in the Quantum Monte Carlo calculations. The formulation of this method and the technique for
Haldane +6 more
core +2 more sources
Quantum computing quantum Monte Carlo
Abstract Quantum computing and quantum Monte Carlo (QMC) are respectively the state-of-the-art quantum and classical computing methods for understanding many-body quantum systems. Here, we propose a hybrid quantum-classical algorithm that integrates these two methods, inheriting their distinct features in efficient representation and ...
Xiao Yuan +4 more
openaire +2 more sources
Beyond Earth: Resilience of Quasi‐2D Perovskite Solar Cells in Space
In the article (DOI: 10.1002/adma.202520433), Christoph Putz and co‐workers demonstrate rigid quasi‐2D perovskite solar cells operating in low Earth orbit, delivering stable power for more than 100 days under real‐space conditions. In‐orbit performance is correlated with extensive ground‐based thermal and proton‐irradiation studies on rigid and ...
Christoph Putz +17 more
wiley +1 more source
Off-diagonal Wave Function Monte Carlo Studies of Hubbard Model I
We propose a Monte Carlo method, which is a hybrid method of the quantum Monte Carlo method and variational Monte Carlo theory, to study the Hubbard model.
Anderson P. W. +24 more
core +1 more source
Diffusion quantum Monte Carlo study of three-dimensional Wigner crystals [PDF]
We report diffusion quantum Monte Carlo calculations of three-dimensional Wigner crystals in the density range r_s=100-150. We have tested different types of orbital for use in the approximate wave functions but none improve upon the simple Gaussian form.
C. Yannouleas +29 more
core +2 more sources
Monte Carlo simulation of quantum computation [PDF]
The many-body dynamics of a quantum computer can be reduced to the time evolution of non-interacting quantum bits in auxiliary fields by use of the Hubbard-Stratonovich representation of two-bit quantum gates in terms of one-bit gates. This makes it possible to perform the stochastic simulation of a quantum algorithm, based on the Monte Carlo ...
Cerf, Nicolas, Koonin, S. E.
openaire +2 more sources
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source

