Scaling up the quantum chip

MIT engineers develop a hybrid process that connects photonics with “artificial atoms,” to produce the largest quantum chip of its type.

Becky Ham | MIT News correspondent • mit
July 8, 2020 ~7 min

Mirrored chip could enable handheld dark-field microscopes

Simple chip powered by quantum dots allows standard microscopes to visualize difficult-to-image biological organisms.

Jennifer Chu | MIT News Office • mit
Feb. 24, 2020 ~9 min


A new facet for germanium

MIT researchers grow perfectly shaped germanium tunnels on silicon oxide with controllable length.

Denis Paiste | Materials Research Laboratory • mit
Jan. 31, 2020 ~10 min

Researchers discover a new way to control infrared light

The new method could impact devices used in imaging, machine learning, and more.

Anne McGovern | Lincoln Laboratory • mit
Jan. 30, 2020 ~7 min

A trapped-ion pair may help scale up quantum computers

Qubits made from strontium and calcium ions can be precisely controlled by technology that already exists.

Kylie Foy | Lincoln Laboratory • mit
Jan. 28, 2020 ~8 min

How to verify that quantum chips are computing correctly

A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.

Rob Matheson | MIT News Office • mit
Jan. 13, 2020 ~9 min

A new mathematical approach to understanding zeolites

Study of minerals widely used in industrial processes could lead to discovery of new materials for catalysis and filtering.

David L. Chandler | MIT News Office • mit
Oct. 7, 2019 ~8 min

Quantum sensing on a chip

Researchers integrate diamond-based sensing components onto a chip to enable low-cost, high-performance quantum hardware.

Rob Matheson | MIT News Office • mit
Sept. 25, 2019 ~8 min


Micro ring resonator has highest quality factor to date

MIT, Singapore researchers show high-quality photonic device based on amorphous silicon carbide.

Denis Paiste | Materials Research Laboratory • mit
July 8, 2019 ~12 min

Chip design drastically reduces energy needed to compute with light

Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.

Rob Matheson | MIT News Office • mit
June 5, 2019 ~9 min

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