45 results for “topic:nisq”
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
An open-source Python framework for hybrid quantum-classical machine learning.
A fast stabilizer circuit library.
Fast C++ and Python library for state-vector simulation of quantum circuits.
Variational Quantum Circuit Simulator for Quantum Computation Research
Tensor network based quantum software framework for the NISQ era
Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
Quantum computational chemistry based on TensorCircuit
The next-gen AI-native tensor-network-based quantum software framework
Software for exploring, developing, and evaluating quantum error-correction protocols.
Tutorial notebooks and example scripts made with Tangelo. Any Tangelo user can suggest content and showcase their work, either by pushing on this repo or linking their work / project :)
Algorithms for optimization tasks (operations research)
quantum chemistry
CFD solve on a current quantum computer
Quantum Circuit Simulator for browser and Node.js, powered by WebAssembly
Materials and lectures for quantum computing introduction
Quantum computational chemistry based on TensorCircuit
Some tests with QAOA, VQE, annealers and other procedures for NISQ quantum computers
Quantum Galton Board implementation for Monte Carlo simulation using quantum walks, featuring Gaussian, exponential, and hadamard distribution generation with NISQ noise mitigation.
Parameterized quantum circuits for machine learning
A repository containing my solution to the screening tasks for the second cohort of Quantum Open Source Foundation Mentorship program.
Trainable, scalable quantum embedding kernels with variational parameters
Analysis of noise effects on quantum circuits using simulations and real IBM quantum hardware.
The max-cut problem on a random graph with 7 nodes is solved using QAOA, ED, Monte-Carlo, and simulated annealing.
A production-ready library for measurement-error mitigation and circuit optimization in NISQ computing.
Hardware-Aware Variational Quantum Algorithms under Noise (VQE / QAOA Benchmarking Across IBM & IonQ)
Quantum-enhanced workflow scheduling optimizes multi-processor resource allocation using DAGs and a hybrid quantum-classical approach, visualized via advanced tools. QUBO problem formulation ensures efficiency.
GPU-accelerated quantum tensor network simulator with adaptive MPS
Master’s thesis research framework for noise-robust hybrid quantum–classical neural networks (HQNNs), evaluating reliability, architecture design, and deployment strategies on NISQ hardware.