OM DENNE EPISODE
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.
