Physicists and engineers highlight latest research in 14 talks covering tensor networks, quantum error correction, hardware advances and more
BOSTON, MA, UNITED STATES, March 11, 2026 /EINPresswire.com/ — Alice & Bob, a leader in fault-tolerant quantum computing, will present more than a dozen research talks at the APS Global Physics Summit, demonstrating new advances in its cat-qubit architecture – a hardware-efficient approach designed to reduce the number of qubits required for fault-tolerant quantum computers.
The presentations span several key challenges in scaling quantum computers, including stabilizing cat qubits, extending their intrinsic error protection, and enabling core components of fault-tolerant computation such as high-fidelity magic-state preparation.
Researchers will also introduce new techniques to simulate large superconducting quantum systems and to validate the ultra-low logical error rates required for practical quantum computing.
Together, the results highlight progress across the full stack required to build scalable fault-tolerant quantum computers, from device physics and circuit design to quantum error correction and system verification.
The APS Global Physics Summit held March 15-20 in Denver, Colorado, brings together thousands of physicists from around the world to present new developments across all disciplines of physics, including quantum mechanics.
Further information on Alice & Bob’s APS presentations is available in the company’s blog post here. The Alice & Bob team will also be available to meet with at booth #901.
About Alice & Bob
Alice & Bob is a quantum computing company based in Paris and Boston whose goal is to create the first universal, fault-tolerant quantum computer. Founded in 2020, Alice & Bob has raised €130 million in funding and employs more than 200 people.
Advised by Nobel Prize winning researchers, Alice & Bob specializes in cat qubits, a technology developed by the company’s founders. Demonstrating the power of its cat architecture, Alice & Bob recently showed that it could reduce the hardware requirements for building a useful large-scale quantum computer up to 200 times compared with competing approaches. For more information, visit www.alice-bob.com.
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