PsiQuantum Develops Light-Based Quantum Computer

Photo: MIT Technology Review
Quick answer
PsiQuantum is engineering a large-scale, light-based quantum computer with a target of one million qubits by 2033.
U.S.-based PsiQuantum is developing a quantum computer leveraging photonic technologies. Unlike competitors such as Google and IBM, the startup focuses on building a system with one million qubits—a scale essential for solving problems beyond classical computers’ capabilities. The project has already attracted Pentagon attention, which evaluates the technology’s potential under a dedicated program.
PsiQuantum is constructing two major facilities: one in Illinois (USA) and another in Morton Bay (Australia). The company collaborates with industry leaders, including Lockheed Martin, Mercedes, and Airbus. These partners intend to apply quantum computing for material optimization, battery design, and other complex challenges. Despite lacking a functional device, PsiQuantum offers tools for algorithm development to run on its future system.
Experts note that quantum computers excel only in specific tasks requiring specialized algorithms. PsiQuantum is advancing software, including the Construct package, enabling clients to create custom algorithms. The project’s success hinges on overcoming technical and engineering hurdles to deliver a large-scale system.
Common questions
- What is PsiQuantum?
- PsiQuantum is a startup developing a quantum computer based on photonic technologies, aiming to create a system with one million qubits for tasks unsolvable by classical computers.
- Which companies are collaborating with PsiQuantum?
- Partners include Lockheed Martin, Mercedes, and Airbus, which plan to use quantum computing for material development, battery optimization, and other complex tasks.
- When will the large-scale quantum computer be available?
- The Pentagon forecasts the first industrial-scale quantum computer could emerge by 2033, with PsiQuantum actively working toward this milestone.
Dzen feed: /feed/dzen.xml · RSS: /feed.xml