As quantum computing moves from the laboratory into real-world applications, Florida Atlantic University quantum technology leader Robert Loredo offers organizations a practical roadmap for preparing for the era of quantum advantage. In his new book, Quantum Readiness for Leaders, published by Packt Publishing, Loredo explores how executives and technology leaders can develop quantum strategies, build specialized teams, forge partnerships, protect data, address post-quantum cybersecurity threats and identify opportunities to harness quantum technologies for business and society.

Researchers have developed a key-decoupled circuit-model blind quantum computation protocol that enhances privacy protection in delegated quantum computing while reducing the operational burden on the client. By independently generating encryption and decryption keys, the protocol avoids gate-by-gate propagation of decryption information and conceals the target operation within its Pauli equivalence class. A low-overhead statistical verification strategy based on randomly sampled Pauli observables is further introduced to detect deviations by the quantum server. Proof-of-principle experiments on an IBM superconducting quantum processor, together with multi-qubit numerical simulations, demonstrate the feasibility and scalability of the approach for privacy-preserving quantum cloud computing.

Graph neural networks have been used in various graph-related tasks, where they have achieved excellent performance. However, incomplete graph structures, commonly found in real-life scenarios, can severely degrade performance. In a new study, researchers develop a novel graph completion network that reconstructs missing features and structure simultaneously while also maintaining performance with extremely weak supervision, which is difficult to achieve with conventional models.