Quantum Computing Dissertation Titles
  • / Title

Quantum Computing Dissertation Titles

Info: 1557 words(1 pages) Quantum Computing Dissertation Titles
Published: 27th December 2025 in Quantum Computing Dissertation Titles

Share this:

Facebook
Twitter
Whatsapp
Linkedin

Related Services

Our academic writing and marking services can help you!

Introduction

Quantum computing is steeped in controversies, but at the same time, it’s getting rid of the myths and becoming a truly transformative technology with the power to change the whole process of optimisation, encryption, and large-scale computing. All the happenings in quantum hardware, algorithms, error correction, and hybrid quantum–classical models have created a significant increase in applications in finance, materials science, AI, and cybersecurity, but still, there are huge hurdles to overcome. Decay of qubits, use of very few qubits, and lack of stability remain the major problems for today’s NISQ devices, while important areas like quantum software validation, sustainability metrics, scalable error correction, verifiable quantum advantage, and quantum-secure financial systems are still without standardised frameworks and reliable methodologies. The below-mentioned dissertation titles throw light on these issues and suggest the way forward by indicating research directions to be taken that focus on improving the parameters of reliability, sustainability, scalability, verification, and security across the upcoming quantum technologies.

Quantum Computing Dissertation Titles

Proposed PhD Title 1: Strengthening the Practical Reliability of Quantum Software: A Framework for Performance Optimisation, Hardware-Level Validation, and Standardised Evaluation

The whole quantum software development flow looks quite promising, yet its real-world application is still constrained by insufficient testing on actually existing quantum hardware and the nonexistence of reliable performance-optimisation strategies. Desdentado, along with his team (2025), indicate that there is an abundant amount of literature on algorithm design, yet only a small part of it has been verified through empirical usage of quantum processors. Furthermore, the report states that the area of verification and validation is very poorly populated with publications, and that only 39% of primary research papers perform such assessments. The absence of standard evaluation methods for quantum software not only makes its reproducibility and comparability more difficult but also contributes to the splitting up of the field’s methodology.

Problem Statement:
The limited practical testing of quantum software, alongside the lack of standardised assessment criteria and poor validation techniques, blocks the way to the implementation of trustworthy, ready-for-hardware quantum solutions.

Research Gap:
The present study is devoid of exploration of the implementation of quantum hardware, either up to the point of testing performance or through the application of standardised frameworks for verification and validation.

Research question:
What is the maximum that hardware-integrated testing, performance-optimisation techniques, and standardised measurement metrics could be combined into a single framework that will fortify the trustworthiness and reproducibility of quantum software?

Outcome:
It is projected that the initiative will deliver an all-out quantum-software framework that comes with performance and validation features, including hardware-tested optimisation protocols, reproducible evaluation metrics, and a standard verification toolkit, thus making it possible for quantum software to be reliable in the real world.

Reference:

Desdentado, E., Calero, C., Moraga, M. Á., & García, F. (2025). Quantum computing software solutions, technologies, evaluation and limitations: a systematic mapping study. Computing, 107, 110. https://link.springer.com/article/10.1007/s00607-025-01459-2

Proposed PhD Title 2. Towards Sustainable Quantum Computing: Developing Energy-Efficient Quantum-Software Evaluation Frameworks to Address Scalability and Environmental Impact

Quantum computing is usually presented as a future-efficient substitute to classical computation, but Desdentado et al. (2025) have pointed out a very important and overlooked issue: the power consumption of quantum-software execution and quantum technologies. The authors of the study state that the term “energy consumption” has not been part of the evaluation criteria of existing research, although the energy footprint of ICT systems is increasing globally at a very fast pace. Quantum computers without the incorporation of sustainability metrics will then be in the same boat as classical infrastructures in terms of generating energy problems. Nevertheless, there are no frameworks that deal with energy-efficient quantum systems, thus the informed development, scalability assessments and environmentally-friendly quantum software practices are all hindered.

Problem Statement:
The non-existing sustainability metrics and energy-consuming evaluation from quantum-software research have left one in a situation where an incorrect judgment of the actual environmental and scalability impacts of quantum computing is the only option.

Research gap:
There is not yet a proper way that provide the means to assess, compare, or improve the energy usage of the quantum algorithms, quantum circuits, or quantum software tools at any point in time.

Research Question:
Which energy-consumption indicators, their measuring methods, and the eco-friendly evaluation frameworks based on the sustainability criteria could be created to estimate and lessen the environmental impact of quantum software?

Outcome:
This study is the first sustainability-focused quantum-software assessment framework that will include energy-measurement processes, performance standards, and optimisation instructions, thus making it possible to create quantum applications that consume less energy and are more scalable.

Reference:

Desdentado, E., Calero, C., Moraga, M. Á., & García, F. (2025). Quantum computing software solutions, technologies, evaluation and limitations: a systematic mapping study. Computing, 107, 110. https://link.springer.com/article/10.1007/s00607-025-01459-2

Proposed PhD Title 3. From NISQ to FASQ: A Scalable Framework for Transitioning from Quantum Error Mitigation to Fault-Tolerant Quantum Computation

Eisert and Preskill, in their perspective article, take a strong position when they say that today’s noisy intermediate-scale quantum (NISQ) devices are still greatly dependent on error mitigation, which cannot secure quantum information for long computations. They point out that transitioning to fault-tolerant, application-scale quantum (FASQ) technology will demand not only but also the use of active error detection, powerful error-correcting codes, and large hardware systems that can support logical qubits. On the contrary, the current research is a collection of fragmented solutions, rather than a unified route, covering mitigation and early error correction through to scalable fault tolerance. This gap is the main reason why a coherent framework to aid the NISQ→FASQ transition is so desperately needed.

Problem Statement:
Quantum devices belonging to the NISQ era at the moment still depend on error-mitigation methods with limited capabilities, and these methods cannot protect quantum information beyond the physical qubits’ natural decoherence limits. The possibilities of the early demonstrations of error correction are, however, not scalable; rather, there is no pathway for transitioning from the rudimentary error-correcting schemes to fully fault-tolerant architectures that would be able to run practical algorithms. The existence of this gap in the region of error correction is the main reason for the slowdown in the development of quantum computing technology that is going to be useful in a wide range of applications.

Research Gap:

The present-day literature fails to deliver a coherent structure that relates error reduction, active error finding, scalable quantum codes, and hardware-aware resource estimation together. The majority of the proposals tackle only single pieces of the puzzle—like qubit scaling or code design—without coming up with a common, simulation-backed way of making the NISQ–FASQ shift.

Research Question:
What is the method for integrating quantum error mitigation, early-stage error correction, and scalable fault-tolerant protocols into a unified transition framework that allows for a practical, hardware-constrained evolution from NISQ to FASQ quantum systems?

Outcome:
A multi-layered framework will be constructed by the study, which consists of (a) hybrid mitigation–correction strategies, (b) scalable logical-qubit architectures, and (c) resource-efficient fault-tolerance pathways confirmed through simulation. The project is intended to deliver a practical roadmap to the experimental groups whose goal is application-scale quantum machines.

Reference:

Eisert, J., & Preskill, J. (n.d.). Mind the gaps: The fraught road to quantum advantage. https://arxiv.org/abs/2510.19928

Proposed PhD Title 4. Towards Practical Quantum Advantage: Developing Verifiable Algorithms and Hardness Benchmarks for Quantum Simulation and Computation

Eisert and Preskill contend that the verifications of advantage in the case of the present quantum algorithms—especially the variational and heuristic methods—are nonexistent, as classical algorithms typically match or outperform current quantum simulations. They suggest that the field requires stringent benchmarks and validation tools that could demonstrate a particular problem is quantumly easy, classically hard, and practically relevant at the same time. Advances in classical computing will be a major obstacle for the development of new reliable benchmarks and verification protocols that will address this gap between proofs of quantum advantage and the standard requirements.

Problem Statement:
Today’s quantum algorithms—variational quantum algorithms (VQAs) and heuristic methods in particular—remain without valid performance guarantees. Most of the quantum simulations asserted can actually be done better or at least equally well by the improved classical algorithms. This uncertainty makes it impossible to prove a genuine quantum advantage in the areas of great physical and computational interest.

Research gap:

The state of the art has not moved sufficiently to make it easier for quantum methods to be an option. The current quantum simulators do not offer approved approaches that would certify an advantage over the best classical simulation methods.

Research Question:
Which algorithmic benchmarks and verification protocols can be devised to assert credible superiority in quantum simulation and computation, at the same time, ensuring that the problems of interest are hard for classical computers and easy for quantum ones?

Outcome:
This proposed plan will unveil a benchmark collection for real physical Hamiltonians, derive metrics for the verification of mixed and completely quantum algorithms, and set up complexity-based conditions for useful quantum advantage. This structure will encourage the formation of advanced, verifiable, and applicable to industry quantum algorithms.

Reference:

Eisert, J., & Preskill, J. (n.d.). Mind the gaps: The fraught road to quantum advantage. https://arxiv.org/abs/2510.19928

Proposed PhD Title 5. Toward Quantum-Resilient Financial Infrastructure: A Framework for Secure Blockchain, Cryptography, and System Integration in the Era of Quantum Computing

Naik et al. (2025), in their published systematic review for Financial Innovation, showcase the scenario where, on one hand, quantum computing is developing very rapidly, while on the other hand, its implications for financial systems, particularly in the areas of blockchain security, quantum-resistant cryptography, and fintech infrastructure, remain largely unstudied. The authors claim that the banking industry is not ready for the quantum attacks and the ensuing chaos, and they will not be able to employ the quantum technology on a large scale for financial operations. Although there are still a number of hurdles to overcome in the areas of creating quantum-secure consensus mechanisms, scalable blockchain architectures, privacy-preserving systems, and cryptographic protocols that can withstand quantum assaults, the situation appears to have come to a standstill. These issues raise questions, the answers to which would require linking the power of quantum computers with the security and operational needs of modern finance through extensive research.

Problem Statement:
The interest in quantum technologies is increasing; nevertheless, no framework for directing the development of quantum-proof financial infrastructure has been established yet. Unavailability of the quantum-secure consensus protocols, scalable blockchain models, and privacy-preserving financial systems and the integration strategies that are compatible with those mentioned above, are the reasons behind leaving the current fintech ecosystems exposed to quantum threats. The current studies are treating these problems in isolation, which results in the emergence of fragmented solutions that do not provide systemic, future-ready security to the global financial markets.

Research gap:

The previous research has not yet achieved providing (a) acceptable models for quantum-resistant blockchain techniques, (b) endorsed quantum-secure cryptographic protocols that are applicable in financial scenarios, (c) blueprints for the integration of quantum with traditional financial technologies, and (d) post-quantum system architectures for banking, trading, and cryptocurrency operations that are privacy-preserving. The absence of solutions of this kind hampers financial institutions in being able to prepare adequately against post-quantum risks and, at the same time, prevents them from benefiting from quantum speed increases safely.

Research Question:
What would be the steps to develop a holistic framework that guarantees a financial infrastructure that is secure, scalable, and privacy-preserving, resistant to quantum attacks, and also compatible with new quantum technologies?

Outcome:
The study will lead to the creation of an integrative framework that consists of consensus algorithms that resist quantum attacks, post-quantum cryptographic models that are security-validated, pathways for hybrid integration that connect classical and quantum financial systems, and architected post-quantum financial systems that preserve privacy. This research is targeted at providing a tactical roadmap for the development of quantum-secure financial ecosystems that will be able to support global economic activities of the future.

Reference:

Naik, A. S., Yeniaras, E., Hellstern, G., Prasad, G., & Vishwakarma, S. K. L. P. (2025). From portfolio optimization to quantum blockchain and security: a systematic review of quantum computing in finance. Financial Innovation, 11(1), 88. https://doi.org/10.1186/s40854-025-00751-6.

Need assistance finalising your dissertation topic? Selecting a strong, researchable topic can be challenging — but you don’t have to do it alone.
Our research consultants can help refine your ideas, identify literature gaps, and guide you toward a topic that aligns with current academic trends and your programme requirements.
Contact us to begin one-on-one topic development and refinement with PhdAssistance.com Research Lab.

Share this:

Facebook
Twitter
Whatsapp
Linkedin

Cite this work

Study Resources

Free resources to assist you with your university studies!