QuEra Computing
@queracomputing.bsky.social
Based in Boston and built on pioneering research from Harvard University and MIT, QuEra Computing is the leader in developing and productizing quantum computers using neutral atoms, widely recognized as a highly promising quantum computing modality.
Encoding strategies are presented for both surface codes and high-rate codes, with corresponding performance analyses. We expect this milestone result to significantly advance the era of megaquop-scale quantum computing. arxiv.org/abs/2509.18294
Transversal STAR architecture for megaquop-scale quantum simulation with neutral atoms
Quantum computing experiments have made remarkable progress in demonstrating key components of quantum error correction, a prerequisite for scalable quantum computation. While we anticipate the…
arxiv.org
November 7, 2025 at 12:15 PM
Encoding strategies are presented for both surface codes and high-rate codes, with corresponding performance analyses. We expect this milestone result to significantly advance the era of megaquop-scale quantum computing. arxiv.org/abs/2509.18294
Here, QuEra’s research team introduces a transversal STAR architecture for small-angle magic state generation with neutral atoms. They demonstrate that fault-tolerant simulations with over a million T-gates could be achieved with only ten thousand qubits at a physical error rate of 0.1%.
November 7, 2025 at 12:15 PM
Here, QuEra’s research team introduces a transversal STAR architecture for small-angle magic state generation with neutral atoms. They demonstrate that fault-tolerant simulations with over a million T-gates could be achieved with only ten thousand qubits at a physical error rate of 0.1%.
While this is usually achieved through magic state distillation or cultivation, certain resource states could potentially be synthesized more efficiently in a semi–fault-tolerant way, accelerating our ability to perform complex workflows in fields such as materials simulation.
November 7, 2025 at 12:15 PM
While this is usually achieved through magic state distillation or cultivation, certain resource states could potentially be synthesized more efficiently in a semi–fault-tolerant way, accelerating our ability to perform complex workflows in fields such as materials simulation.