59 skills found · Page 1 of 2
primme / PrimmePReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems
NVIDIA / Eigensolver GpuGPU Eigensolver for symmetric/hermitian matrices.
The-Eigensolvers / TEQSWelcome to The Eigensolver Quantum School, a quantum computing crash course designed by students for students.
buwantaiji / DominantSparseEigenADReverse-mode AD of dominant sparse eigensolver using Pytorch.
marekandreas / ElpaA scalable eigensolver for dense, symmetric (hermitian) matrices (fork of https://gitlab.mpcdf.mpg.de/elpa/elpa.git)
givgramacho / CERN Quantum Computing CourseQuantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, including those that can be implemented with a few qubits (BB84, quantum teleportation, superdense coding...) as well as those that require multi-qubit systems (Deutsch-Jozsa, Grover, Shor..). We will also cover some of the most recent applications of quantum computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (for instance, through the use of quantum support vector machines and quantum variational classifiers). We will also give examples of how these techniques can be used in chemistry simulations and high energy physics problems. The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point of view, only a good command of basic linear algebra is assumed. Some familiarity with the python programming language would be helpful, but is not required either.
qiskit-community / Prototype Entanglement ForgingA module for simulating chemical and physical systems using a Variational Quantum Eigensolver (VQE) enhanced by Entanglement Forging.
JordanovSJ / VQEA python module and example scripts to perform molecular simulationts with the variational quantum eigensolver (VQE)
asl / SvdInterface to Lanczos SVD and eigensolvers from R
Qiskit / Qiskit Addon Dice SolverAn eigensolver used to scale up SQD chemistry workflows past 30 orbitals
jewettaij / Jacobi Pda short, simple public-domain header-only C++ eigensolver library for real symmetric matrices
stfnmangini / VQE From ScratchTutorial on Variational Quantum Eigensolver (VQE). Originally created for QOSF Mentorship Screening Task Submission (Task 4, batch 2020).
a-nasikun / FastSpectrumWe approximate the lowest part of the eigenvalues and eigenfunctions of Laplace-Beltrami operator, to have faster speed, less storage, and quicker mapping to world coordinates. This program requires Eigen, LibIGL, and an eigensolver (either CUDA's cuSOLVER or Matlab's eigs function).
GiggleLiu / QuantumMPSVariational Quantum Eigensolver with Fewer Qubits
eiscor / Eiscoreigensolvers based on unitary core transformations
kattemolle / HVQEUser-friendly but high-performance code for simulating Variational Quantum Eigensolvers for the Heisenberg model on any lattice. It is designed to support a computer-cluster workflow.
QuCO-CSAM / Solving Combinatorial Optimisation Problems Using Quantum AlgorithmsApplication of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Problem (TSP) and the Quadratic Assignment Problem (QAP) using Qiskit on IBM's quantum devices.
ChASE-library / ChASEThis repository mirrors the principal Gitlab repository of the Chebyshev Accelerated Subspace iteration Eigensolver. If you want to contribute as developer to this project please contact e.di.napoli@fz-juelich.de.
NLESC-JCER / Fortran DavidsonDavidson eigensolver implemented in Fortran
rfeinman / Torch ARPACKFast extremal eigensolvers for PyTorch.
