Rongchai Wang
Mar 24, 2026 20:01
Google expands quantum computing technique with impartial atom qubits, hiring JILA’s Adam Kaufman to steer Boulder-based {hardware} workforce alongside current superconducting program.
Google Quantum AI is betting on two horses within the race towards commercially viable quantum computer systems. The tech large introduced it is increasing past superconducting qubits to construct impartial atom quantum methods—a transfer that would speed up its timeline for hitting key milestones earlier than decade’s finish.
The twin-modality strategy exploits what Google calls “complementary strengths.” Superconducting qubits excel at circuit depth, operating hundreds of thousands of gate cycles at microsecond speeds. Impartial atoms scale higher in qubit depend, with arrays reaching roughly 10,000 qubits and providing versatile connectivity that permits extra environment friendly error-correcting codes. The tradeoff? Impartial atom cycles run in milliseconds, orders of magnitude slower.
Boulder Turns into Google’s Atom Hub
To guide the experimental push, Google recruited Dr. Adam Kaufman from JILA, the joint institute between CU Boulder and NIST. He’ll construct a impartial atoms {hardware} workforce in Boulder whereas sustaining his JILA Fellowship and CU school place—a setup that retains Google embedded in one of many world’s premier AMO (Atomic, Molecular and Optical) physics ecosystems.
“I’m thrilled to hitch Google’s world-leading program in quantum computing, and to increase that management to a brand new and extremely promising platform of impartial atoms,” Kaufman stated.
NIST’s Bodily Measurement Laboratory Director James Kushmerick acknowledged the expertise drain however framed it positively: “Whereas it is a loss for NIST, it’s a acquire for the quantum ecosystem in Boulder and the U.S. quantum trade broadly.”
Constructing on Willow’s Momentum
The enlargement comes after Google’s superconducting program hit a serious milestone in December 2024. The 105-qubit Willow chip grew to become the primary processor to function under the quantum error correction threshold—that means errors truly decreased because the system scaled up, reasonably than compounding. That is the basic requirement for fault-tolerant quantum computing.
Willow additionally demonstrated what Google claims is verifiable quantum benefit, finishing a random circuit sampling benchmark in below 5 minutes that may theoretically take the Frontier supercomputer 10 septillion years.
Google’s impartial atom program will deal with three pillars: adapting error correction protocols for atom array connectivity, utilizing Google’s compute assets for {hardware} simulation and design optimization, and constructing application-scale {hardware} with fault-tolerant efficiency.
QuEra Connection Stays
The announcement notes Google will proceed collaborating with QuEra, its portfolio firm that pioneered foundational impartial atom strategies. That relationship provides Google further publicity to the know-how whereas constructing inside capabilities.
For the broader quantum computing sector, Google’s dual-track funding indicators rising confidence that a number of qubit applied sciences could show commercially viable—every doubtlessly suited to totally different drawback varieties. The corporate reiterated its perception that “commercially related quantum computer systems based mostly on superconducting know-how will grow to be obtainable by the tip of this decade,” with impartial atoms doubtlessly providing complementary capabilities.
The following main take a look at for impartial atoms: demonstrating deep circuits with many computational cycles. For superconducting methods, it is scaling architectures to tens of 1000’s of qubits. Google’s now racing on each fronts.
Picture supply: Shutterstock
