Quantum computers will allow humanity to simulate nature at the quantum level, enabling the acceleration of drug discovery and the development of new materials. Currently, quantum engineers spend days, sometimes weeks, manually getting their silicon chips to operational conditions to realize two qubits. A qubit is the information-carrying unit of a quantum computer, analogous to a bit in a classical computer. We need billions of qubits to make a useful quantum computer. Therefore, automation software will be vital to realizing this goal. Conductor Quantum will develop AI software to remove the human from the loop, enable the scaling of silicon quantum technology and build a silicon-based quantum computer.
Co-founder of Conductor Quantum, building quantum computers on silicon chips with AI. I’ve worked at many deep tech startups and research labs, exploring various quantum computing technologies — from carbon nanotubes to superconducting transmon qubits. I left my PhD at Oxford to start Conductor Quantum.
Co-founder of Conductor Quantum, where we build quantum computers on silicon chips using AI. During my PhD at Oxford, I worked with 4 institutions across the globe (IST Austria, Basel, UNSW, Diraq), developing algorithms for semiconductor quantum device control and published 4 papers on the topic including one in Nature.
Tl;dr:
Hi - We are Brandon and Joel! We are building Conductor Quantum.
CEO, Brandon – Brandon developed AI for Quantum Computing in Silicon during his PhD at Oxford. Over the past four years, Brandon has worked with four top quantum research institutions on software for quantum device control and has four publications, including one in Nature.
CTO, Joel – Joel has shipped software at four deep tech companies and has worked with a series of quantum devices ranging from carbon nanotubes to superconducting circuits. Joel studied Physics at UCL and dropped out of his PhD at Oxford to start Conductor Quantum.
During Joel’s PhD at Oxford, he launched Feynman.ai— an AI science research assistant— with Brandon, which they bootstrapped to 300 signups within a month of launch.
→ Currently, quantum engineers spend days, sometimes weeks, manually configuring silicon chips to create a single quantum bit (qubit), analogous to a bit in a classical computer.
→ We need millions, if not billions, of qubits to make a useful quantum computer.
Automation software to create qubits at scale is vital to realize this goal.