This survey provides a comprehensive review of the security challenges, threats, and mitigation strategies associated with the rapid advancement of quantum computing.

This paper presents two quantum algorithms for solving linear systems with normalized solution $|x angle$ to accuracy $ε$, independent of the condition number $κ$.

The paper proposes a two-dimensional coordinate system to map the co-evolution of cryptographic resilience and computational capability, identifying the 'Quantum Gap' as the primary systemic risk requ…

This paper proposes a method to explore the design space of quantum-classical applications using a formalization of an architectural style, enabling dynamic selection of the most suitable configuratio…

This paper develops a formal semantics and verification methods for a core continuous-variable quantum programming language, using closed positive quadratic forms as semantic predicates.

This paper introduces the first explicit data obfuscation technique to protect classical sensitive values during the execution phase of quantum computation.

This paper shows that shallow circuits cannot prepare near-optimal states for random quantum $p$-spin glasses, and proves depth lower bounds for such preparations.

The paper introduces covert quantum computing, a framework to ensure privacy in multi-tenant quantum cloud environments, and finds that while local crosstalk is limited, long-range coupling effects cr…

The paper estimates the quantum resources required to break 256-bit ECC cryptography and warns that fast-clock quantum computers could enable on-spend attacks on modern cryptocurrencies, necessitating…

This paper simplifies the definition of qudit flow, a model of quantum computation, and improves its complexity to match qubit flows.

This paper surveys the security vulnerabilities of Variational Quantum Circuits (VQCs) to backdoor attacks, detailing various attack mechanisms and analyzing current detection and defense strategies.

This paper presents protocols for computing a linear combination over a noiseless quantum many-to-one network with more general linear transformations and lower communication cost.

This survey provides a detailed overview of quantum adversarial machine learning, examining existing attacks, novel quantum-enhanced defense strategies, and the theoretical challenges in securing quan…

This study empirically benchmarks classical and quantum machine learning models for image recognition, finding that while quantum models offer superior accuracy and resource efficiency at high dimensi…