PsiQuantum Replaces CEO, Targets 2026 Deployment
PsiQuantum has announced a leadership change, appointing an interim CEO as it targets a 2026 deployment of a "utility-scale" quantum computer. The move signals a strategic push towards practical applications in finance, including portfolio optimization and risk modeling. The development comes as financial institutions like JPMorgan Chase continue to invest heavily in quantum research and AI.
- The new interim CEO, Victor Peng, was previously the president of AMD and led Xilinx through its ~$49 billion acquisition by AMD, bringing experience in scaling complex computing architectures like CPUs, GPUs, and FPGAs. Co-founder Jeremy O'Brien will transition to Executive Chairman to focus on strategy and partnerships. - PsiQuantum is building its quantum computers using a photonic approach, encoding qubits into particles of light. This allows them to leverage standard semiconductor manufacturing processes through a partnership with GlobalFoundries to mass-produce their "Omega" silicon photonic chips. - The company aims to build a fault-tolerant quantum computer with 1 million physical qubits. This scale is considered necessary to implement error-correction and solve commercially relevant problems beyond the reach of classical supercomputers. - PsiQuantum has raised over $2.32 billion in total funding, including a recent $1 billion Series E round that valued the company at $7 billion. Key investors include BlackRock, Temasek, Baillie Gifford, and the venture capital arm of Nvidia (NVentures). - The company is developing large-scale deployment sites for its quantum computers in Brisbane, Australia, and Chicago, Illinois. The Brisbane facility, backed by a A$940 million investment from the Australian and Queensland governments, is planned to be operational by the end of 2027. - To accelerate the development of practical applications, PsiQuantum has established collaborations with major aerospace and defense companies, including Airbus and Lockheed Martin, to work on complex computational problems.
