variational-quantum-algorithms

Tensor network based quantum software framework for the NISQ era

C++ library with Python interface to train quantum circuits, quantum gate synthesis and state preparation.

Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS

Open-source Python library for quantum computing. Build quantum algorithms once, run them on simulators such as Qiskit Aer, PennyLane, CUDA-Q and Qulacs, and on IBM Quantum, IQM and Amazon Braket hardware.

Variational Quantum Algorithms for Unsupervised Image Segmentation

A backend-agnostic quantum machine learning library for SpinQit, Qiskit, Cirq and PyTorch. Exact gradients, composable ansatze, quantum kernels. Cross-validated against PennyLane.

QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games

Quantum algorithms to solve linear systems of equations.

Code for the Lie-Algebraic classical simulation of structured quantum circuits

QVoice: Quantum Variational Optimization with In-Constraint Energy

Everything you need for fermionic quantum simulation

A variational quantum algorithm for approximate counting based on the Jerrum-Valiant-Vazirani algorithm.

2-QNSCD optimization algorithm for learning from quantum data

Hardware-Aware Variational Quantum Algorithms under Noise (VQE / QAOA Benchmarking Across IBM & IonQ)

Preregistered simulator and IBM hardware pilot for Lambda-IC gradient-scale diagnostics in qMERA trainability.

Qiskit-compatible distributed quantum approximate optimization algorithm simulator for solving general quadratic unconstrained binary optimization problems.

In this paper we present a VQA for solving the TSP problem that requires only O(n log n) qubits and an Ansatz whose topology evolves via Simulated Annealing.

Official code for the Hopf ansatz: universal real and complex pure-state coordinates, explicit inverse maps, diagonal metrics, gradient access, and reproducible tests.

WISER Quantum and AI Program 2026

Reproducibility package for “Exploiting More Than Symmetry in Variational Quantum Machine Learning” (QCE26).