When quantum computers scale out, the algorithm has to know where the weak links are.

In this episode, I continue my conversation with Enrique Solano from Kipu Quantum to explore why modular quantum computing is not only a hardware challenge. Most people think modularity means more chips, more qubits, and more scale. But Enrique highlights a deeper issue: once quantum computers become distributed systems, the algorithm has to understand the physical reality of the machine.

This episode is for investors, founders, and anyone trying to understand where quantum software value may emerge. When computation moves across multiple chips, not every connection is equal. Some gates may have very high fidelity inside a chip, while connections between chips can introduce weaker operations. Small differences in fidelity can determine whether an algorithm survives long enough to become useful.

That is where Kipu’s hardware-aware approach becomes interesting. The software cannot treat every quantum backend as identical. It needs to understand connectivity, topology, fidelities, and the weak points of the architecture. In quantum, scaling hardware creates a new software problem. The winning software layer may be the one that understands the machine well enough to extract value from its imperfections.

💡 In this episode, we cover:

• Why modular quantum computing changes the software challenge

• Why more qubits do not automatically mean more useful computation

• How inter-chip connections can create new fidelity bottlenecks

• Why algorithms need to understand quantum hardware topology

• Why hardware-aware software may matter more than hardware-agnostic approaches today

• How Kipu thinks about extracting value from imperfect quantum systems

• Why scaling quantum hardware creates new algorithmic challenges

• What investors should watch in quantum software companies

Chapters

00:00 Why Kipu Quantum focuses on hardware-aware software

01:29 Why algorithms must adapt as hardware changes

03:26 Why architecture matters in quantum systems

06:46 Fidelity limits inside quantum architectures

08:03 Why modularity changes the algorithm

09:01 Building quantum systems beyond single chips

15:04 Why inter-chip connections create new challenges

15:21 Why small fidelity differences matter

16:30 Why algorithms must know the machine

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📌 Disclaimer:This is not investment advice.This post is shared on a personal basis and I do not represent any company.