Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era

Quantum machine learning QML is a promising paradigm for tackling computational problems that challenge classical AI. Yet, the inherent probabilistic behavior of quantum mechanics, device noise in NISQ hardware, and hybrid quantum-classical execution pipelines introduce new risks that prevent...

Resource Reduction in Multiparty Quantum Secret Sharing of Both Classical and Quantum Information under Noisy Scenario

Quantum secret sharing QSS enables secure distribution of information among multiple parties but remains vulnerable to noise. We analyze the effects of bit-flip, phase-flip, and amplitude damping noise on the multiparty QSS for classical message QSSCM and secret sharing of quantum information SSQ...

SUSE CVE-2017-11724

The ReadMATImage function in coders/mat.c in ImageMagick through 6.9.9-3 and 7.x through 7.0.6-3 has memory leaks involving the quantuminfo and cloneinfo data structures...

Entangled Photons on Silicon Chip: Secure Communications & Ultrafast Computers

With the rise in technology, the need of ultrafast quantum computer has also increased that can work on huge numbers and calculations at the same time. Quantum technology has long been a scientific dream, but now it is a step closer to becoming a reality after a team of scientists has figured out...