Quantum computing’s scalability challenged by fundamental information limits, reshaping techno-optimism and investment priorities

Indigenous epistemologies reject the linear, scalable logic of quantum computing, framing its limits as part of a broader ecological and spiritual equilibrium. Many traditions, such as the Māori *kaitiakitanga* (guardianship), would interpret the 1,000-qubit cap not as a failure but as a signal to rethink technology’s relationship with nature. Western science’s fixation on overcoming limits mirrors colonial extraction, whereas Indigenous frameworks prioritize reciprocity and cyclical renewal over perpetual growth.

The quantum computing hype cycle echoes past technological overpromises, from nuclear fusion to AI winters, where institutional inertia and funding pressures obscured material realities. The 1980s ‘fifth-generation computer’ project in Japan collapsed under similar scalability delusions, revealing how state-backed R&D can become a self-fulfilling prophecy of failure. Historical precedents like the Luddites—often caricatured as anti-technology—actually critiqued the social costs of unchecked innovation, a lesson relevant to quantum’s current trajectory.

Non-Western scientific traditions, such as Ayurveda or Traditional Chinese Medicine, have long operated within bounded systems where limits are intrinsic to efficacy. The African philosophy of *Ubuntu*—‘I am because we are’—contrasts with quantum computing’s individualistic, hyper-specialized approach, suggesting alternative models for collaborative problem-solving. Even in Japan, *wa* (harmony) principles prioritize stability over scalability, offering a counter-narrative to Silicon Valley’s growth-at-all-costs ethos.

Palmer’s analysis leverages quantum information theory to demonstrate that the information-carrying capacity of large quantum systems is constrained by thermodynamic and entropic limits, not just engineering challenges. This aligns with the Bekenstein bound in black hole thermodynamics, suggesting a universal ceiling on information density. The critique also resonates with Landauer’s principle, which posits that erasing information requires energy, implying that quantum systems cannot scale indefinitely without prohibitive costs.

Artists like Refik Anadol have explored quantum computing’s aesthetic potential, but its limits could reframe such projects as meditations on finitude rather than breakthroughs. In Sufi poetry, the concept of *fana* (annihilation) mirrors the dissolution of quantum states, offering a poetic lens to understand computational constraints. Similarly, the Japanese aesthetic of *wabi-sabi* embraces imperfection and transience, challenging the Western obsession with perfection and scalability in technology.

If quantum computing’s scalability is capped, future scenarios must pivot toward hybrid systems (quantum-classical) or entirely new paradigms, such as neuromorphic computing. The 1,000-qubit limit could accelerate investment in error correction, topological qubits, or photonic computing, but these may still face thermodynamic barriers. A post-quantum future might prioritize distributed, low-energy solutions, such as edge computing or analog systems, over centralized quantum hubs.

Global South researchers, often excluded from quantum research due to funding disparities, have long critiqued the field’s extractive tendencies, such as rare earth mineral mining for qubits. Feminist technologists argue that quantum computing’s energy demands exacerbate climate injustice, disproportionately affecting marginalised communities. Grassroots movements, like the *Tech Workers Coalition*, have also challenged the uncritical embrace of quantum hype, demanding accountability for tech’s social and environmental costs.