| name | quantum-software-architecture |
| category | quantum-computing |
| description | Component-based Quantum Software Architecture Framework (QSAF) for designing hybrid quantum-classical systems. Provides 34 reusable quantum circuit patterns, architectural guidelines, and systematic transition from circuit-level to system-level design. |
| trigger_words | quantum software architecture, hybrid quantum-classical, quantum component, quantum system design, QSAF, quantum engineering |
| version | 1.0.0 |
| created | 2026-05-12T00:00:00.000Z |
| source | arXiv:2605.01800v1 |
| authors | Arvind W. Kiwelekar, Shweta Tembe, Uzma G. A. Munde, Siddhesh Jadhav, Manjushree D. Laddha, Harsha R. Gaikwad |
Quantum Software Architecture Framework (QSAF)
Core Methodology
QSAF transitions quantum software development from ad-hoc circuit design to systematic, component-based architecture. It provides a framework for designing hybrid quantum-classical systems with engineering rigor, scalability, and reusability.
Key Insight
Quantum software development has focused on algorithms but neglected software architecture. As systems move toward hybrid quantum-classical computing, this gap limits scalability. QSAF addresses this by defining reusable components and architectural patterns.
Component Library (34 Patterns Identified)
Quantum Circuit Components
- State Preparation: Initialize quantum states (|0⟩, superposition, entangled)
- Single-Qubit Gates: H, X, Y, Z, R_x, R_y, R_z, S, T
- Two-Qubit Gates: CNOT, CZ, SWAP, iSWAP
- Multi-Qubit Gates: Toffoli, Fredkin, multi-controlled gates
- Measurement: Computational basis, Pauli basis, POVM
- Error Correction: Syndrome extraction, logical encoding
- Ansatz Circuits: Hardware-efficient, unitary coupled cluster
- Parameterized Circuits: Variational quantum eigensolver (VQE) patterns
Classical Integration Components
- Data Encoding: Classical-to-quantum data loading
- Result Decoding: Quantum-to-classical measurement processing
- Optimization Loops: Classical optimizer driving quantum circuit parameters
- Preprocessing: Data normalization, feature selection, dimensionality reduction
- Postprocessing: Statistical analysis, error mitigation, result validation
System Architecture Components
- Orchestration Layer: Manages quantum-classical task scheduling
- Resource Manager: Qubit allocation, job queuing, hardware selection
- Communication Bus: Data transfer between classical and quantum subsystems
- Monitoring Dashboard: Circuit execution tracking, hardware health
- Version Control: Circuit versioning, parameter snapshots
Architectural Design Process
Step 1: Problem Decomposition
- Identify quantum-suitable subproblems (optimization, simulation, ML)
