May 2025
DQC offers a promising path to scale quantum capabilities beyond the limitations of single devices. In this article, I share the motivation behind my work in this area: Why distributing quantum computations matters? What challenges it poses? How it connects to real limitations in current hardware?
June 2025
Distributed Quantum Computing (DQC) is emerging as a necessary response to the physical limits of scaling quantum hardware. But beyond the engineering and physics challenges lies a deeper set of theoretical computer science problems. This post explores key barriers to distributing quantum computation across multiple devices, including how we model and mitigate communication noise, formalize hybrid classical-quantum coordination, and decompose quantum workloads algorithmically and structurally. From algorithm-level partitioning to model-level abstraction, DQC forces us to rethink core computational assumptions—making it not just a hardware problem, but a fundamentally new class of computing problem.
July 2025
What makes distributed quantum computing fundamentally different from classical networking? It's not about faster data, but about distributing quantum correlations. This post challenges the misleading “quantum internet = internet 2.0” narrative and explores the real physics behind quantum distribution: from no-cloning and measurement collapse to error propagation, synchronization limits, and non-local state effects. As we break old assumptions and build new ones, quantum distribution reveals itself not as a network upgrade, but as a whole new computing paradigm.
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