Introducing the first commercial trapped ion quantum computer. By manipulating individual atoms, it has the potential to one day solve problems beyond the capabilities of even the largest supercomputers.Request Access
Our quantum cores use lasers pointed at individual atoms to perform longer, more sophisticated calculations with fewer errors than any quantum computer yet built. In 2019, leading companies will start investigating real-world problems in chemistry, medicine, finance, logistics, and more using our systems.
>60 two-qubit gates
Fully-connected qubits: 11
Addressable pairs: 55
Two-qubit gate error: <1.0%
In an ultra-high vacuum chamber,The atmospheric pressure we experience on the surface of earth is about 760 torr. By comparison, the vacuum of space in near-earth orbit is ~10-6 torr. For quantum computing, we aim for 10-11 torr or better, to maximize isolation of our qubits from the environment.we dynamically deploy and trap atomic qubits on a silicon chip using electromagnetic fields. This allows our quantum cores to adjust their configuration in software, and scale to handle potentially hundreds of qubits without new hardware.
Unlike other systems that try to simulate the behavior of atomic particles, IonQ quantum cores compute using many identical ytterbium atoms.Ytterbium is a silvery rare earth metal first discovered in the late 19th century. As of 2018, ytterbium is used to make some of the most accurate atomic clocks in the world. For example, PTB built a single-ion clock one hundred times more accurate than the best cesium clocks. To create our qubits, we ionize ytterbium 171, removing one of its outermost electrons. Want to learn more about how it all works? Drop us a line or consider studying at UMD’s Joint Quantum Institute!As in ytterbium atomic clocks, isolating individual atoms reduces error and improves stability.
Precise lasers store information on our atomic qubits, perform logical operations, and connect them together in a quantum process called entanglement.By way of example, with full connectivity, when testing the Berenstain-Vazirani algorithm with a 10-qubit oracle, in the worst case we need simply 10 two-qubit gates. In a grid topology, with each qubit having 4 neighbors, you’d need 16 two-qubit gates. With a ring topology, you'd need 19 two-qubit gates. Since each additional gate introduces noise and thereby error, the fewer gates required, the higher quality the calculation.With no fixed wires, the IonQ system can connect any two qubits with a single laser operation, increasing accuracy.