23 skills found
sequence-toolbox / SeQUeNCeSimulator of QUantum Network Communication (SeQUeNCe) is an open-source tool that allows the modeling of quantum networks including photonic network components, control protocols, and applications.
tqsd / QuNetSimA quantum network simulation framework.
PennyLaneAI / Pennylane LightningThe Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.
SoftwareQuTech / SimulaQronQuantum Network Simulator for Application Programming
sfc-aqua / QuispOpen source implementation of quantum internet simulation package
s-mandra / QflexFlexible Quantum Circuit Simulator (qFlex) implements an efficient tensor network, CPU-based simulator of large quantum circuits.
JoeyT1994 / TensorNetworkQuantumSimulator.jlPackage built on top of ITensors.jl and NamedGraphs.jl for quantum simulation with tensor networks (TNs) of near-arbitrary geometry
QuantumSavory / QuantumSavory.jlA full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.
QNLab-USTC / SimQNA discrete time scheduler designed for Quantum Network
ccicconetti / NetsquidWork-in-progress experiments on Quantum Networking (esp. routing) with NetSquid https://netsquid.org/
scottmckuen / QoordTiny, rough-and-ready quantum circuit simulator for exploring quantum networking and computing.
cyclops-community / KoalaA quantum system simulator using PEPS tensor network
ChitambarLab / QNetVOSimulate and optimize quantum communication networks using quantum computers.
drpeterrohde / QuNetA scalable quantum network simulator based on cost vector analysis implemented in Julia.
The-Singularity-Research / Quimb TutorialsTutorials using Quimb, a quantum circuit simulator that uses tensor networks
sss441803 / QTensorAIA hybrid quantum-classical neural network simulation platform. Quantum simulation uses QTensor, a state-of-the-art tensor network-based simulator that usually has linear complexity in the number of qubits for shallow circuits, instead of exponential complexity. This opens up the possibility to simulate large hybrid models with many qubits. The hybrid model is a PyTorch model, batch-parallelized, GPU compatible and fully differentiable.
cqs-thu / Qns 3A Quantum Network Simulator Based on ns-3
MelkoCollective / SourKRAUTQuantum Simulator using Unitary Tensor Networks
tqsd / EQSN PythonEffective Quantum Simulator for Networks (EQSN) implementation in python
Veriqloud / Ubqc SquidasmA simulator compiling Qiskit circuits into Universal Blind Quantum Computation protocols using the quantum network simulation software SquidASM.
