Tensor network based quantum software framework for the NISQ era
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Updated
Oct 22, 2025 - Python
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
Variational Quantum Algorithms for Unsupervised Image Segmentation
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
For simulating fermionic quantum systems
QVoice: Quantum Variational Optimization with In-Constraint Energy
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)
Official code for the Hopf ansatz: universal real and complex pure-state coordinates, explicit inverse maps, diagonal metrics, gradient access, and reproducible tests.
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.
WISER Quantum and AI Program 2026
Reproducibility package for “Exploiting More Than Symmetry in Variational Quantum Machine Learning” (QCE26).
A training-free, channel-level audit that tests whether a noisy quantum neural network still respects an intended symmetry once the ideal circuit is composed with hardware noise.
A Quantum Method for Constrained Vehicle Dynamics and Green-Wave Optimization
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