quantum-software-architecture

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

1. State Preparation: Initialize quantum states (|0⟩, superposition, entangled)
2. Single-Qubit Gates: H, X, Y, Z, R_x, R_y, R_z, S, T
3. Two-Qubit Gates: CNOT, CZ, SWAP, iSWAP
4. Multi-Qubit Gates: Toffoli, Fredkin, multi-controlled gates
5. Measurement: Computational basis, Pauli basis, POVM
6. Error Correction: Syndrome extraction, logical encoding
7. Ansatz Circuits: Hardware-efficient, unitary coupled cluster
8. Parameterized Circuits: Variational quantum eigensolver (VQE) patterns

Classical Integration Components

9. Data Encoding: Classical-to-quantum data loading
10. Result Decoding: Quantum-to-classical measurement processing
11. Optimization Loops: Classical optimizer driving quantum circuit parameters
12. Preprocessing: Data normalization, feature selection, dimensionality reduction
13. Postprocessing: Statistical analysis, error mitigation, result validation

System Architecture Components

14. Orchestration Layer: Manages quantum-classical task scheduling
15. Resource Manager: Qubit allocation, job queuing, hardware selection
16. Communication Bus: Data transfer between classical and quantum subsystems
17. Monitoring Dashboard: Circuit execution tracking, hardware health
18. Version Control: Circuit versioning, parameter snapshots

Architectural Design Process

Step 1: Problem Decomposition

• Identify quantum-suitable subproblems (optimization, simulation, ML)