SimoneGasperini

SimoneGasperini's Stars

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1313661.5k

• qutip/qutip

  QuTiP: Quantum Toolbox in Python

  Language:Python1.7k80955639

• SimonBlanke/Gradient-Free-Optimizers

  Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

  Language:Python1.2k214784

• aesara-devs/aesara

  Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

  Language:Python1.2k19692153

• NVIDIA/cuda-quantum

  C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

  Language:C++56122738191

• QuEST-Kit/QuEST

  A multithreaded, distributed, GPU-accelerated simulator of quantum computers

  Language:C++40221211138

• pymc-devs/pytensor

  PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

  Language:Python36714419109

• patrick-kidger/sympy2jax

  Turn SymPy expressions into trainable JAX expressions.

  Language:Python3229413

• qiboteam/qibo

  A full-stack framework for quantum computing.

  Language:Python2973153661

• qiskit-community/qiskit-optimization

  Quantum Optimization

  Language:Python23210138141

• intel/intel-qs

  High-performance simulator of quantum circuits

  Language:C++226182271

• qiskit-community/ibm-quantum-challenge-2024

  For IBM Quantum Challenge 2024 (5-14 June 2024)

  Language:Jupyter Notebook1701021238

• SRI-International/QC-App-Oriented-Benchmarks

  QED-C: The Quantum Economic Development Consortium provides these computer programs and software for use in the fields of quantum science and engineering.

  Language:Jupyter Notebook14363379

• delphes/delphes

  A framework for fast simulation of a generic collider experiment

  Language:Tcl106141224

• nasa/hybridq

  HybridQ is a highly extensible platform designed to provide a common framework to integrate multiple state-of-the-art techniques to simulate large scale quantum circuits on a variety of hardware. HybridQ provides tools to manipulate, develop, and extend noiseless and noisy circuits for different hardware architectures. HybridQ also supports large-scale high-performance computing (HPC) simulations, automatically balancing workload among different processor nodes and enabling the use of multiple backends to maximize parallel efficiency. Everything is then glued together by a simple and expressive language that allows seamless switching from one technique to another as well as from one hardware to the next, without the need to write lengthy translations, thus greatly simplifying the development of new hybrid algorithms and techniques.

  Language:Python5854514

• pasqal-io/pyqtorch

  PyTorch-based state vector simulator

  Language:Python45911615

• qiskit-community/qiskit-ionq

  Qiskit provider for IonQ backends

  Language:Python43103724

• derlin/hepqpr-qallse

  The HEPQPR.Qallse project encodes the HEP (ATLAS) pattern recognition problem into a QUBO and solves it using a D-Wave or other classical QUBO libraries (qbsolv, neal). Master's project (2019).

  Language:Jupyter Notebook258119

• pyRiemann/pyRiemann-qiskit

  A library for machine learning and quantum programming based on pyRiemann and Qiskit projects

  Language:Python2347310

• Quantum4HEP/QUnfold

  Quantum Annealing for distribution unfolding in experimental High-Energy Physics

  Language:Python236183

• rrmeister/pyQuEST

  Python interface for the Quantum Exact Simulation Toolkit (QuEST)

  173106

• rdisipio/gpt-q

  Quantum-enhanced GPT-2

  Language:Jupyter Notebook16205

• ericmetodiev/OmniFold

  Universally unfolding collider data with machine learning-based reweighting.

  Language:Jupyter Notebook148113

• supreethmv/BILP-Q

  This repository contains the code to reproduce the results presented in the paper BILP-Q: Quantum Coalition Structure Generation

  Language:Jupyter Notebook9200

• Quantum4HEP/QdAEnoiser

  Machine Learning for Quantum Error Mitigation on gate-based NISQ devices

  Language:Python30

• ViniciusMikuni/omnifold

  Language:Jupyter Notebook31

• JustWhit3/PyXSec

  Python framework to measure differential cross-sections of particle physics processes using classical- and quantum-computing based unfolding techniques.

  Language:Python2300

• qiskit-advocate/qamp-spring-24

  Qiskit advocate mentorship program (QAMP) Spring 24 cohort (May - August 2023)

  2411

• supreethmv/LEO-satellites-coalition

  Language:Jupyter Notebook20

• Quantum4HEP/ttbar_unfolding

  Apply a quantum-based unfolding algorithm in entangled ttbar data analysis using the QUnfold package

  Language:Python10