Learn why the quantum-to-classical transition of the coherent Ising machine (CIM) gives it an advantage in the search for the next generation of computing solutions.

Dr. Byer was at Stanford when the first tunable lasers were created, and he is still at work on groundbreaking technologies for us like the Coherent Ising Machine.

Thibault wants to create things made entirely of light. His work controlling atoms of light is shaping photonic technologies that will ultimately replace electronics.

Ryan focuses on improving computing efficiency utilizing optics and photonics for complex operations like deep learning, machine learning, and optimization.

Marc explains his work on nonlinear optics and its promising applications in the field of computing that could one day lead to new medicines, chemicals, and materials.

Timothee believes photonic integrated circuits will be able to address the intractable problems that are presently too time and energy intensive for computers to solve.

Tim believes photonic integrated circuits will be able to address the intractable problems that are presently too time and energy intensive for computers to solve.

Edwin’s work in photonics could simultaneously increase bandwidth, reduce energy consumption, and allow computers to emulate the functions of the human brain.

Jess’ work centers on the physical foundations of information processing, the theory of decoherence, and how they apply to the development of quantum computing.

Myoung-Gyun explains how precision optics led to technologies like GPS and gravity-wave detection, and how it can impact the next generation of computing.

Dr. Yamamoto describes his vision for the lab as a training ground for future scientists focused on developing the next generation of computing systems.