Q-SPOT Laboratory
Who We Are
The Quantum and Semiconductor-based Photonics and Optical Technologies (Q-SPOT) lab performs critical R&D tasks for advancing state-of-the-art quantum and photonics technologies. Q-SPOT enables quantum materials characterization, photonics testing and evaluation, and rapid prototyping capabilities.
MITRE’s Q-SPOT is designed to assist external users such as small businesses, universities, and government sponsors in developing and validating quantum and photonics technologies. The lab is partially funded by the State of Massachusetts via MassTech as an ecosystem development hub as part of the broader Northeast Microelectronics Commons (NEMC) consortium.
Our Work
Automated PIC Testing
Automated testing of photonic integrated circuits (PICs) at a variety of chip sizes (pieces to 300 mm wafers).
Lasers and high speed detectors
Lasers ranging from visible to near-infrared and high-speed electronic drivers and detectors for advanced optical and electrical characterization experiments.
large scale quantum emitter characterization
Custom-built confocal laser scanner enabling diagnosis of atomic qubits and other quantum emitters.
pick optical packaging
Robust fiber to PIC optical packaging capabilities suitable for visible through near infrared wavelengths.
Through our public-private partnerships and federally funded R&D centers, MITRE works across government and in partnership with industry to tackle challenges to the safety, stability, and well-being of our nation.
Priorities
01
Priority
Connect with external partners to provide assistance and development collaborations on state of the art photonics and quantum material platforms.
02
Priority
Accelerate the characterization and development of scalable quantum materials and emitters for applications ranging from sensing to quantum computing and communications.
03
Priority
Advance integrated photonic circuit development and packaging for wide ranging applications, from AI to quantum networking.


Semi-automated quantum materials scanner providing large-volume data for rapid prototyping of quantum technologies.