A blog series exploring the motivations, challenges, and emerging patterns in distributed quantum computing. From theoretical abstractions to practical implementations, my goal is to discuss the field as it evolves and shine a light on my work in the wider context.

What can you tune?

May 2026

One of the main concerns and bottlenecks for distributed quantum computing is its cost. Both quantum network and compute resources are expensive and rare. Entire fields, such as circuit optimisation and error correction, have been developped to reduce the resource consumption and noise of quantum devices. In this blog post I will discuss the possible reductions one can utilise to mitigate the cost of distribution from both the network and compute perspective. I will also discuss their current level of exploration for DQC.

Global versus Local Encodings for DQC

April 2026

When distributing a quantum computation, should optimisations and corrections be applied before or after partitioning? The answer might matter quite a lot.

The DQC industry

March 2026

A snapshot into who is doing what in the DQC industry in early 2026. There are probably more players than you expect!

Partitioning Hypergraphs in DQC

January 2026

Hypergraphs are a natural way to encode multi-qubit dependencies. They have been widely used in DQC research to abstract and partition quantum computations. This partitioning has been done through heuristics designed to tackle the hypergraph partitioning problem. In this post I will give a quick overview of the problem, its relevance to DQC, and some of the most popular heuristics used to tackle it.

The agreement: IBM & Cisco betting for DQC

November 2025

Well, well... look who woke up. My old employers are joining forces toward DQC. Glad to hear I wasn't crazy. Let's gossip over the details.

DQC State of the art today: the TLDR overview

October 2025

In just seven years, DQC went from theoretical sketches to experimental claims of distribution, though we are still far from practical DQC. This post lists what's missing, what we have, and what you can actually try today.

Why Quantum Distribution Is Not Just Classical Networking 2.0?

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.

The Theoretical Computer Science Roadblocks behind DQC

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.

Why am I working on Distributed Quantum Computing (DQC)?

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?

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