Develop the physical components and systems of quantum computation, from qubits and control electronics to system integration.
Quantum Hardware Engineers design and develop the physical systems that enable quantum computation. These specialists combine expertise in quantum physics, materials science, electrical engineering, and cryogenic systems to create functional quantum processing units and their supporting infrastructure.
These engineers work across multiple quantum hardware implementations, including superconducting circuits, trapped ions, photonic systems, quantum dots, neutral atoms, and topological approaches. Each platform presents distinct engineering challenges requiring specialised knowledge of the relevant physical systems and their operational parameters.
A primary function involves designing and fabricating quantum bits (qubits) with sufficient coherence times, gate fidelities, and scalability potential. This requires precise material selection, nano-fabrication techniques, and extensive characterisation processes. Engineers must optimise qubit designs to balance competing requirements including coherence time, operation speed, coupling strength, and readout fidelity.
Quantum Hardware Engineers develop the control and measurement systems necessary for quantum processor operation. This includes designing microwave electronics, optical systems, or other platform-specific control mechanisms capable of precise quantum state manipulation. These systems must operate with extremely low noise levels, precise timing, and appropriate bandwidths for the specific quantum implementation.
These specialists implement error mitigation and correction techniques at the hardware level, working to reduce environmental noise, cross-talk between qubits, and other sources of decoherence. They develop the hardware architecture necessary to support error correction codes, including appropriate qubit connectivity, measurement capabilities, and feedback systems.
A significant challenge in quantum hardware engineering involves scaling systems beyond current limitations. Engineers must address interconnect bottlenecks, control system complexity, thermal management, and fabrication yield issues to increase qubit counts while maintaining or improving performance metrics.
The work of Quantum Hardware Engineers directly determines the capabilities and limitations of quantum computers. As quantum hardware continues to advance, these engineers focus on improving qubit performance parameters, reducing error rates, increasing system size, and developing the infrastructure necessary for practical quantum computation implementation.
The following are a hand-picked selection of articles and resources relating to the Quantum Hardware Engineer’s role and relevant input in the creation of effective quantum computing systems. These include experts in the field, active practitioners, and notable perspectives.
Holt, M.V., et al. (March 22, 2021). “Materials for quantum technologies: Computing, information, and sensing.” Nature Reviews Materials, 6. https://www.nature.com/articles/s41578-021-00293-9
The University of New South Wales. (Accessed July 20, 2025). “Centre for Quantum Computation & Communication Technology.” cqc2t.org. https://www.cqc2t.org/
Quantum Machines. (Accessed July 20, 2025). “The Quantum Orchestration Platform.” quantum-machines.co. https://www.quantum-machines.co/
Zurich Instruments AG. (Accessed July 20, 2025). “Quantum Technologies.” zhinst.com. https://www.zhinst.com/quantum
Keysight Technologies. (Accessed July 20, 2025). “Quantum Solutions.” keysight.com. https://www.keysight.com/au/en/solutions/emerging-technologies/quantum-solutions.html
Magesan, E., Gambetta, J. M., & Emerson, J. (May 5, 2011). “Scalable and Robust Randomized Benchmarking of Quantum Processes.” Physical Review Letters, 106(18). https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.106.180504
Partnering to advance methods and approaches to quantum-classical integration for advanced research.
Partnering to deploy the world's first diamond-based quantum accelerator in a supercomputing environment, creating Australia's first quantum-supercomputing hub.
Simulating chemistry for next-generation lithium-sulfur batteries, demonstrating the use of quantum computing for materials discovery in the automotive industry.
Exploring quantum computing for drug discovery and molecular modeling for future advantages in pharmaceutical development.