Why Classical Engineering Still Sets the Pace in the Quantum Race — Erik Hosler Weighs In

Campus Lecture: Alain Aspect - EPFL

Inside every quantum lab, the future unfolds in increments of precision. Behind the shimmering optics and cryogenic chambers lies a world that feels remarkably familiar to any veteran of the semiconductor age. The same machinery that once carved patterns into silicon now prepares wafers for quantum bit (qubit) circuits. Erik Hosler, a semiconductor systems strategist and process integration specialist, highlights that the frontier of quantum technology still relies on the structure and discipline of its industrial predecessor. His insight reframes the conversation about innovation. Quantum computing may rewrite theory, but it is classical engineering that makes it real.

Every quantum breakthrough stands on a foundation of experience built over fifty years of fabrication mastery. What was once the domain of chip foundries and lithography lines now serves an entirely new physics. Quantum technology may operate in fragile states of light and matter, yet its progress depends on tools, materials, and processes refined through the silicon era. In the race toward a million-qubit computer, the old rules of control, alignment, and manufacturability still decide who gets ahead.

A Familiar Foundation in a New World

Quantum engineers often work in facilities designed decades ago for microchip production. Cleanrooms hum with the same controlled airflow, inspection tools trace the same wafer surfaces, and technicians still speak in the language of yield and throughput. The difference lies in scale. Where once the goal was to shrink transistors, now the aim is to stabilize qubits.

This overlap is not a coincidence but a necessity. The semiconductor industry offers precision and predictability unmatched by any other manufacturing domain. Its methods for controlling defects and verifying dimensions provide a template for building quantum hardware that performs consistently. Without this inherited expertise, quantum computing would remain an academic curiosity rather than a pathway to commercial technology.

Legacy Tools, New Purpose

The instruments that made Moore’s Law possible have found renewed life. Photolithography machines, deposition systems, and etchers are modified to accommodate new materials and optical pathways. Extreme ultraviolet systems designed for microchips are now used to assist in the formation of photonic components. The physics differs, yet the principles of alignment, cleanliness, and calibration remain constant.

What is most striking is how these legacy tools continue to develop. Engineers reprogram their systems to handle new wavelengths, integrate cryogenic compatibility, and manage entirely new failure modes. Equipment once built for transistors now defines the geometry of light. This transformation highlights the resilience of classical engineering, its ability to adapt rather than retire.

The Return of Process Discipline

In an age dominated by theoretical possibilities, process discipline has regained importance. Quantum design depends on predictable manufacturing, and predictability comes from control. The semiconductor industry excels at this balance between ambition and accuracy. Every parameter, temperature, pressure, and deposition time is logged and reviewed.

Quantum fabrication teams now borrow these same practices. Statistical control charts, yield analyses, and process qualification steps are as crucial as the physics that governs qubits. The integration of old methodologies into new technologies brings stability to a field often perceived as volatile. The methods of the past become the safeguards of the future.

The Shared Architecture of Progress

The partnership between quantum researchers and semiconductor manufacturers continues to grow stronger each year. What began as a consultation has developed into a collaboration. Quantum start-ups now share cleanroom space with chip makers, combining the creativity of physics with the precision of production.

Erik Hosler observes that “The semiconductor industry and its technology are essential to building a useful quantum computer.” His statement defines the unspoken truth of the field. Innovation depends on inheritance. Without the accumulated expertise of classical engineering, quantum ambition cannot find its form. 

A quantum computer is considered valid only when it can be fabricated, tested, and maintained using processes that scale. That practicality is what transforms a breakthrough into a business. It is the convergence of scientific discovery with industrial consistency that turns experimental promise into a sustainable future.

Silicon’s Second Life

The dominance of silicon has never been purely a matter of its electronic properties. It also reflects the infrastructure built around it. Foundries equipped to manipulate silicon wafers are already capable of the precision required for quantum photonics. By leveraging this base, quantum companies avoid decades of costly reinvention.

In this context, silicon’s story continues. It becomes the meeting ground for classical and quantum design, where established chemistry and new physics intersect. Engineers who once optimized transistor gates now adjust optical circuits to control photons. 

Bridging Two Languages

Quantum technology requires collaboration across disciplines that have historically operated independently. Materials scientists, optical physicists, and circuit designers must communicate with process engineers, supply-chain specialists, and test technicians. The semiconductor industry provides the shared vocabulary that makes this collaboration possible.

Process standards, yield metrics, and design verification procedures serve as common ground. They allow diverse teams to integrate ideas without losing precision. This cultural bridge may prove as crucial as any hardware breakthrough. Without a shared engineering language, scaling quantum systems would be impossible.

Refining the Art of Control

In quantum mechanics, control defines capability. The ability to manipulate fragile quantum states depends on the same kind of meticulous calibration that once governed transistor performance. Semiconductor engineers understand the consequences of microscopic variation, and that understanding now guides the development of quantum control systems.

The industry’s experience in minimizing interference translates directly to reducing noise in quantum circuits. Optical alignment methods, thermal regulation, and defect analysis tools all contribute to maintaining coherence. Classical control theory remains at the heart of quantum innovation, ensuring that complexity does not lead to chaos.

Continuity as Innovation

Every generation of technology inherits what came before it. Quantum computing, often portrayed as a radical departure, is in fact an extension of classical engineering principles that have been refined over the past half-century. 

This continuity does not diminish the novelty of quantum discovery. Instead, it provides the stability required for exploration. By combining classical rigor with quantum creativity, engineers create a future that feels both familiar and new. The development of technology has never been about replacing the past but about perfecting it.

In that sense, classical engineering remains the quiet architect of progress. Its factories, methods, and mindsets form the scaffolding of an era still taking shape. The quantum race may redefine the boundaries of computation, yet it is guided by the steady principles that built the modern world. The partnership between the two is not temporary. It is the foundation on which every meaningful advance may continue to stand.