Volta
Modern Quantum Computing: Languages, Simulators, Architectures and Future Directions
Unknown authors
· 2025
hash_id: 537a6e840001715dd601a9c3ba942434a72bcb86aae8dbd2c5ff774db599dd7c
· DOI: 10.1109/acdsa65407.2025.11165857
This study examines the current technological components of quantum computing through a multi layered approach. It begins by comparing quantum and classical computers across fundamental aspects such as information representation, computational power, fault tolerance, and computational complexity, with the key differences summarized in a technical comparison table. Subsequently, the study analyzes the primary architectural approaches in quantum hardware, including superconducting qubits, trapped ion systems, and photonic platforms. On the software side, quantum programming languages such as Qiskit, Cirq, and PennyLane are evaluated in terms of their features, supported infrastructures, and learning curves. The significance of variational quantum algorithms tailored for the noisy intermediate-scale quantum (NISQ) era namely, the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA) along …