Quantum. Quick. | Our 9-qubit QPU is ready to ship today
This is where you find technology as pioneering as your own work. The quantum hardware at the core of our systems is cooled by a dilution refrigerator. Take a look inside and click on the numbered points to see how it all comes together.
When the computer is operational, five casings (like the white one shown at the top of the image) envelop the machine. These cans nest inside each other and act as thermal and radiation shields, keeping everything super cold and vacuum-sealed.
These cables deliver and condition microwave signals to and from the chip to drive qubit operations and return the measured results.
These gold-plated copper plates separate cooling zones. At the bottom, they plunge to one-hundredth of a Kelvin—hundreds of times as cold as outer space.
At the lowest, coldest plate sits the most critical hardware, including amplifiers, additional cables, filters, and the mounts that hold the quantum processing unit.
The QPU (quantum processing unit) is a superconducting quantum integrated circuit that powers the quantum computer, inside a metal package that thermalizes it and shields it from the environment.
The Novera QPU, our 9-qubit QPU, gives you unprecedented access to quantum technology and empowers you to take your research to the next level. Best of all, it’s ready to ship today.
See What's Possible
Here, we demonstrate coherent optical control of a superconducting qubit. We achieve this by developing a microwave–optical quantum transducer that operates with up to 1.18% conversion efficiency with low added microwave noise, and we demonstrate optically driven Rabi oscillations in a superconducting qubit.
Learn MoreState-of-the-art classical optimization solvers set a high bar for quantum computers to deliver utility in this domain. Here, we introduce a quantum preconditioning approach based on the quantum approximate optimization algorithm. It transforms the input problem into a more suitable form for a solver with the level of preconditioning determined by the depth of the quantum circuit. We demonstrate that best-in-class classical heuristics such as simulated annealing and the Burer-Monteiro algorithm can converge more rapidly when given quantum preconditioned input for various problems, including Sherrington-Kirkpatrick spin glasses, random 3-regular graph maximum-cut problems, and a real-world grid energy problem.
Learn MoreSuperconducting quantum processors have made significant progress in size and computing potential. As a result, the practical cryogenic limitations of operating large numbers of superconducting qubits are becoming a bottleneck for further scaling. Due to the low thermal conductivity and the dense optical multiplexing capacity of telecommunications fiber, converting qubit signal processing to the optical domain using microwave-to-optics transduction would significantly relax the strain on cryogenic space and thermal budgets. Here, we demonstrate high-fidelity multi-shot optical readout through an optical fiber of a superconducting transmon qubit connected via a coaxial cable to a fully integrated piezo-optomechanical transducer.
Learn MoreAchieving high-quality solutions faster than classical solvers on computationally hard problems is a challenge for quantum optimization to deliver utility. Using a superconducting quantum computer, we experimentally investigate the performance of a hybrid quantum-classical algorithm inspired by semidefinite programming approaches for solving the maximum-cut problem on 3-regular graphs up to several thousand variables. We leverage the structure of the input problems to address sizes beyond what current quantum machines can naively handle. We attain an average approximation ratio of 99% over a random ensemble of thousands of problem instances.
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