QRAM-Simulator
Sparse-state quantum circuit simulator with native QRAM support and Register Level Programming
QRAM-Simulator
arXiv:2503.13832Efficient Simulation of Quantum Random Access Memory
- QRAM circuit simulation (Qutrit & Qubit)
- Register Level Programming paradigm
- Sparse state optimization (64+ qubits)
- Noise models & error filtration
SparQ
arXiv:2503.15118A Sparse Quantum Circuit Simulator with Register-Level Abstraction
- General-purpose sparse-state simulator
- QFT, Grover, QDA, QCNN, Hamiltonian sim
- PySparQ Python API (
pip install pysparq) - CUDA GPU acceleration
Python Documentation
Sphinx-generated Python API reference, user guide, and code examples.
Read docs →C++ API Documentation
Doxygen-generated C++ API for SparQ core, quantum gates, arithmetic operators, and QRAM circuits.
Browse docs →Operators Reference
Detailed documentation for quantum arithmetic operators and unitary guarantees.
View reference →GitHub Repository
Source code, issues, CI pipelines, and contribution guidelines.
View repo →PySparQ on PyPI
Python bindings via pybind11. Install with pip install pysparq.
Register Level Programming
Direct register operations with uint64_t storage instead of gate-by-gate circuit construction.
Sparse State Simulation
Only non-zero amplitudes are stored, enabling simulation of 64+ qubits for structured algorithms.
Native QRAM
Qutrit-based and qubit-based QRAM circuit implementations with noise model support.
GPU Acceleration
Optional CUDA backend for parallel sparse state operations.