Beyond Qubit Count: A Comparative Review of Quantum Chip Architectures, Error Correction, and the Path to Fault-Tolerant Computing

Quantum processors are often compared by the number of physical qubits they contain. That number, however, does not by itself indicate whether a processor can execute a useful computation reliably. Qubit coherence, gate and measurement fidelity, connectivity, control infrastructure, fabrication yield, and the overhead of quantum error correction all influence practical capability. This paper presents a structured comparative review of six major quantum-computing modalities: superconducting circuits, trapped ions, photonic systems, silicon-spin qubits, neutral atoms, and topological approaches. It examines their physical implementations, operational strengths, engineering constraints, and prospects for scaling. Particular attention is given to surface-code error correction and the 105-qubit Willow processor result reported by Google Quantum AI, which demonstrated below-threshold surface-code memory and a logical-error suppression factor of 2.14 ± 0.02 when code distance increased by two. The paper also considers cryogenic control, wiring, modular interconnects, fabrication variability, real-time decoding, and the Indian National Quantum Mission. The review finds that progress towards fault tolerance is best assessed through logical performance and system-level engineering rather than physical-qubit count alone. No modality currently removes the need to address scaling overhead, reliable operations, and application-level advantage

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2026-11-11
DOI
https://doi.org/10.22214/ijraset.2026.85627
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Beyond Qubit Count: A Comparative Review of Quantum Chip Architectures, Error Correction, and the Path to Fault-Tolerant Computing

Mr. Sairaj Dalvi, Mr. Tanmay Patil, Prof. Mrs. Ravina Khachane, Mr. Suyog Salvi
International Journal for Research in Applied Science and Engineering Technology
Quantum Computing Algorithms and Architecture
article

Beyond Qubit Count: A Comparative Review of Quantum Chip Architectures, Error Correction, and the Path to Fault-Tolerant Computing

Mr. Sairaj Dalvi, Mr. Tanmay Patil, Prof. Mrs. Ravina Khachane, Mr. Suyog Salvi
article en

Abstract

Quantum processors are often compared by the number of physical qubits they contain. That number, however, does not by itself indicate whether a processor can execute a useful computation reliably. Qubit coherence, gate and measurement fidelity, connectivity, control infrastructure, fabrication yield, and the overhead of quantum error correction all influence practical capability. This paper presents a structured comparative review of six major quantum-computing modalities: superconducting circuits, trapped ions, photonic systems, silicon-spin qubits, neutral atoms, and topological approaches. It examines their physical implementations, operational strengths, engineering constraints, and prospects for scaling. Particular attention is given to surface-code error correction and the 105-qubit Willow processor result reported by Google Quantum AI, which demonstrated below-threshold surface-code memory and a logical-error suppression factor of 2.14 ± 0.02 when code distance increased by two. The paper also considers cryogenic control, wiring, modular interconnects, fabrication variability, real-time decoding, and the Indian National Quantum Mission. The review finds that progress towards fault tolerance is best assessed through logical performance and system-level engineering rather than physical-qubit count alone. No modality currently removes the need to address scaling overhead, reliable operations, and application-level advantage

International Journal for Research in Applied Science and Engineering TechnologyVol. 14(11)
Quantum Computing Algorithms and Architecture
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