Supercomputing researchers document evolution of AI hardware
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
New qubit architecture enables faster, more accurate operations
This advance could be a big step toward developing a scalable, practical quantum computer.
Improving the reliability of circuits for quantum computers
A new technique helps scientists measure a phenomenon that can cause quantum circuits to perform differently than expected, increasing the error in computations.
The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.
Lincoln Lab unveils the most powerful AI supercomputer at any US university
Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
Responding to the climate impact of generative AI
Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.
DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
The research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.
MIT engineers advance toward a fault-tolerant quantum computer
Researchers achieved a type of coupling between artificial atoms and photons that could enable readout and processing of quantum information in a few nanoseconds.
Device enables direct communication among multiple quantum processors
MIT researchers developed a photon-shuttling “interconnect” that can facilitate remote entanglement, a key step toward a practical quantum computer.
High-performance computing, with much less code
The Exo 2 programming language enables reusable scheduling libraries external to compilers.
Fast control methods enable record-setting fidelity in superconducting qubit
The advance holds the promise to reduce error-correction resource overhead.
Q&A: The climate impact of generative AI
As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.
Quantum simulator could help uncover materials for high-performance electronics
By emulating a magnetic field on a superconducting quantum computer, researchers can probe complex properties of materials.
MIT scientists tune the entanglement structure in an array of qubits
The advance offers a way to characterize a fundamental resource needed for quantum computing.
New qubit circuit enables quantum operations with higher accuracy
The advance brings quantum error correction a step closer to reality.