SPIN

Call for Papers

Guest Editors:
Chi Lin (Dalian University of Technology, China)
Chang Wu Yu (Chung Hua University, Taiwan)
Ning Wang (Rowan University, USA)

Tentative timeline:
Submission Deadline: June 2025
Authors Notification: September 2025
Final Decision Notification: February 2026

Introduction:
The recent breakthrough of quantum supremacy has changed our lives with steady improvement and performance. Classical computers processes data as 0's and 1's instead of that quantum computing combining properties of quantum physics stores data and perform computations based on the probability of an object's state. It also harnesses the phenomena of quantum mechanics to resolve mathematical problems. It also creates a multidimensional space to represent significant problems and also finds solutions by using algorithms that employ quantum wave interference. Entanglement and superposition in quantum physics enable quantum computers to handle and execute operations at speed higher than typical computer that too with less energy consumption.

Quantum algorithm runs on realistic quantum computation models with instructional set called quantum gates along with subset called qubits. The most important feature about a quantum computer is that it leverages quantum mechanics concepts to process extensive and repetitive algorithms, usually linear algebra producing results in milliseconds. Quantum computers accurately weighs conflicting possibilities and proving better forecasting models allowing data to move quickly It could also help to solve complex optimization problems related to tasks like optimization, fraud detection and portfolio risk. However, the need for error correction arises while storing and processing quantum information. Again, there is a significant hurdle in scaling up small-scale quantum computers for dealing operational errors. So, a quantum computing model with fault tolerance checks faulty gates and storage errors. Hence, even for moderate error rates quantum computing without fault tolerance and error correction is impossible. Quantum error correction offers best solutions against noise-induced by environmental interactions and imperfect control of the system. In addition to it, Fault tolerance in computing system enables continuous operations without any service interruption, even when there is a failure on any one part. All these things are achieved in quantum systems by anticipating exceptional conditions and building computing system to cope with it.

Apart from this, quantum algorithms that exploit quantum entanglement to solve specific and complex problems more efficiently. Because quantum entanglement allows qubits to behave randomly and perfectly correlate with each other. So, quantum computing performs extremely complicated calculations easily, simulate quantum systems and also processes data a thousand times faster. In general, fault tolerance in quantum computing strives towards an error-free state in data computation. In short to address the current and future challenges of complex data processing this special issue researches current and future prospects of Fault tolerant quantum computing in augmenting a better future. Researchers and practitioners working in this background are requested to submit their novel and innovative contributions that fall within the scope.

Topics include, but are not limited to:

• Implementing fault tolerant quantum computation for long-range correlated noise
• Quantum computations by symmetrisation for stabilized fault tolerant system
• Probabilistic logic and the synthesis of reliable algorithms for quantum computing
• Fault tolerance and error-detection-based quantum algorithms to reduce noise
• Implementing quantum memory hierarchies for efficient designs in quantum computing
• Quantum error-correcting systems for fault tolerant self-correcting memories
• Quantum error correction and efficient computational encodings for Fault tolerant system
• Preserving fault tolerance in quantum computation model by quantum bits
• Implementing higher-dimensional systems in quantum computing for fault tolerance
• Fault-tolerant quantum computation models for constant error reduction
• Fault tolerant error-correcting subsystems in quantum memories.