This Oxford-Based Startup is Building Machine Learning-Based Software for Quantum Control

Rapid advancements in Quantum computing serve as potent reminders that the technology is rapidly approaching commercial viability. Qubit is the fundamental unit of quantum computers. These are required in thousands for the functioning of a quantum computer. Qubits feature minor variances due to flaws in control instruments, manufacture, and design, requiring distinct sets of control parameters to make each useful. The development of a workable quantum computer necessitates a lengthy procedure. As the number of qubits increases, so does the difficulty of tuning and characterizing them. Intelligent automation is required to tune, optimize, and stabilize thousands of qubits, independent of their fluctuation. Solutions that rely on human skills are insufficient and unscalable.

QuantrolOx, an Oxford-based startup, aims to manage qubits inside quantum computers using machine learning. Oxford professor Andrew Briggs, tech entrepreneur Vishal Chatrath, chief scientist Natalia Ares, and head of quantum technologies Dominic Lennon co-founded the company in 2021.

QuantrolOx is developing automated machine learning-based control software for quantum technologies that allows them to tune, stabilize, and optimize qubits. QuantrolOx’s software is technology agnostic and may be used with any quantum technology. However, the business is focusing on solid-state qubits, where the team has already demonstrated significant practical benefits.QuantrolOx, like many machine learning challenges, requires a large amount of data to create successful machine learning models.

The tech startup has recently announced that they have raised a £1.4 million (around $1.9 million) seed funding round led by Hoxton Ventures and Nielsen Ventures. The funding round saw participation from investors like Voima Ventures, Remus Capital, Dr. Hermann Hauser, and Laurent Caraffaas.

With this round of funding, QuantrolOx intends to hire more people and focus on expanding its collaborations with quantum computer manufacturers. The company does not want to become full-stack and instead wants to concentrate on its niche.

References:

  • https://techcrunch.com/2022/02/23/quantrolox-uses-machine-learning-to-control-qubits/
  • https://www.uktech.news/deep-tech/oxford-ai-quantum-computers-20220228
  • https://quantrolox.com/