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We explore three research directions that together span quantum software, error correction, and hardware.
We study how near-term quantum circuits can be combined with classical machine learning to solve useful problems.
We design and simulate error-correcting codes, decoders, and protocols for reliable quantum computation.
We document and simulate neutral-atom platforms based on optical tweezers and Rydberg interactions.
See how they stack up
We track superconducting, trapped-ion, neutral-atom, and photonic platforms to understand the trade-offs each one makes.